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ORCIDWilliam Yang Wang
William Wang 0001
Person information
- affiliation: University of California, Santa Barbara, USA
- affiliation (former): Carnegie Mellon University, Pittsburgh, USA
Other persons with the same name
- William Wang — disambiguation page
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2020 – today
- 2025
[c237]Shengqiong Wu, Hao Fei, Liangming Pan, William Yang Wang, Shuicheng Yan, Tat-Seng Chua:
Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning. AAAI 2025: 8460-8468- [c236]Xinlu Zhang, Zhiyu Zoey Chen, Xi Ye, Xianjun Yang, Lichang Chen, William Yang Wang, Linda Ruth Petzold:
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning. AAAI 2025: 25949-25957 - [c235]Kexun Zhang, Jane Dwivedi-Yu, Zhaojiang Lin, Yuning Mao, William Yang Wang, Lei Li, Yi-Chia Wang:
Extrapolating to Unknown Opinions Using LLMs. COLING 2025: 7819-7830 - [c234]Xinyi Wang, Antonis Antoniades, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Yang Wang:
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data. ICLR 2025 - [c233]Antonis Antoniades, Albert Örwall, Kexun Zhang, Yuxi Xie, Anirudh Goyal, William Yang Wang:
SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement. ICLR 2025 - [c232]Xuehai He, Weixi Feng, Kaizhi Zheng, Yujie Lu, Wanrong Zhu, Jiachen Li, Yue Fan, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Kevin Lin, William Yang Wang, Lijuan Wang, Xin Eric Wang:
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos. ICLR 2025 - [c231]Jiachen Li, Qian Long, Jian Zheng, Xiaofeng Gao, Robinson Piramuthu, Wenhu Chen, William Yang Wang:
T2V-Turbo-v2: Enhancing Video Model Post-Training through Data, Reward, and Conditional Guidance Design. ICLR 2025 - [c230]Kyle Wong, Alfonso Amayuelas, Liangming Pan, William Yang Wang:
Investigating the Transferability of Code Repair for Low-Resource Programming Languages. NAACL (Findings) 2025: 3410-3432 - [c229]Mian Zhang, Xianjun Yang, Xinlu Zhang, Travis Labrum, Jamie C. Chiu, Shaun M. Eack, Fei Fang, William Yang Wang, Zhiyu Chen:
CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy. NAACL (Long Papers) 2025: 3864-3900 - [c228]Kexun Zhang, Shang Zhou, Danqing Wang, William Yang Wang, Lei Li:
Scaling LLM Inference Efficiently with Optimized Sample Compute Allocation. NAACL (Long Papers) 2025: 7959-7973 - [i277]Weixi Feng, Chao Liu, Sifei Liu, William Yang Wang, Arash Vahdat, Weili Nie:
BlobGEN-Vid: Compositional Text-to-Video Generation with Blob Video Representations. CoRR abs/2501.07647 (2025) - [i276]Kaijie Zhu, Xianjun Yang, Jindong Wang, Wenbo Guo, William Yang Wang:
MELON: Indirect Prompt Injection Defense via Masked Re-execution and Tool Comparison. CoRR abs/2502.05174 (2025) - [i275]Deepak Nathani, Lovish Madaan, Nicholas Roberts, Nikolay Bashlykov, Ajay Menon, Vincent Moens, Amar Budhiraja, Despoina Magka, Vladislav Vorotilov, Gaurav Chaurasia, Dieuwke Hupkes, Ricardo Silveira Cabral, Tatiana Shavrina, Jakob N. Foerster, Yoram Bachrach, William Yang Wang, Roberta Raileanu:
MLGym: A New Framework and Benchmark for Advancing AI Research Agents. CoRR abs/2502.14499 (2025) - [i274]Wenyue Hua, Tyler Wong, Sun Fei, Liangming Pan, Adam Jardine, William Yang Wang:
InductionBench: LLMs Fail in the Simplest Complexity Class. CoRR abs/2502.15823 (2025) - [i273]Zekun Li, Shinda Huang, Jiangtian Wang, Nathan Zhang, Antonis Antoniades, Wenyue Hua, Kaijie Zhu, Sirui Zeng, William Yang Wang, Xifeng Yan:
AgentOrca: A Dual-System Framework to Evaluate Language Agents on Operational Routine and Constraint Adherence. CoRR abs/2503.08669 (2025) - [i272]Jingwen Cheng, Kshitish Ghate, Wenyue Hua, William Yang Wang, Hong Shen, Fei Fang:
REALM: A Dataset of Real-World LLM Use Cases. CoRR abs/2503.18792 (2025) - [i271]Alfonso Amayuelas, Jingbo Yang, Saaket Agashe, Ashwin Nagarajan, Antonis Antoniades, Xin Eric Wang, William Wang:
Self-Resource Allocation in Multi-Agent LLM Systems. CoRR abs/2504.02051 (2025) - [i270]Xinyi Wang, Shawn Tan, Mingyu Jin, William Yang Wang, Rameswar Panda, Yikang Shen:
Do Larger Language Models Imply Better Reasoning? A Pretraining Scaling Law for Reasoning. CoRR abs/2504.03635 (2025) - [i269]Xiao Pu, Michael Saxon, Wenyue Hua, William Yang Wang:
THOUGHTTERMINATOR: Benchmarking, Calibrating, and Mitigating Overthinking in Reasoning Models. CoRR abs/2504.13367 (2025) - 2024
- [j8]Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang:
Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction Strategies. Trans. Assoc. Comput. Linguistics 12: 484-506 (2024) - [j7]Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang:
A Survey on Data Selection for Language Models. Trans. Mach. Learn. Res. 2024 (2024) - [c227]Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler, William Yang Wang:
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View. AAAI 2024: 18924-18933 - [c226]Shuo Zhang, Liangming Pan, Junzhou Zhao, William Yang Wang:
The Knowledge Alignment Problem: Bridging Human and External Knowledge for Large Language Models. ACL (Findings) 2024: 2025-2038 - [c225]Alfonso Amayuelas, Kyle Wong, Liangming Pan, Wenhu Chen, William Yang Wang:
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. ACL (Findings) 2024: 6416-6432 - [c224]Wenda Xu, Guanglei Zhu, Xuandong Zhao, Liangming Pan, Lei Li, William Wang:
Pride and Prejudice: LLM Amplifies Self-Bias in Self-Refinement. ACL (1) 2024: 15474-15492 - [c223]Kexun Zhang, Yee Man Choi, Zhenqiao Song, Taiqi He, William Yang Wang, Lei Li:
Hire a Linguist!: Learning Endangered Languages in LLMs with In-Context Linguistic Descriptions. ACL (Findings) 2024: 15654-15669 - [c222]Rujun Han, Yuhao Zhang, Peng Qi, Yumo Xu, Jenyuan Wang, Lan Liu, William Yang Wang, Bonan Min, Vittorio Castelli:
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering. EMNLP 2024: 4354-4374 - [c221]Aditya Sharma, Michael Saxon, William Yang Wang:
Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts. EMNLP (Findings) 2024: 5429-5451 - [c220]Alfonso Amayuelas, Xianjun Yang, Antonis Antoniades, Wenyue Hua, Liangming Pan, William Yang Wang:
MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate. EMNLP (Findings) 2024: 6929-6948 - [c219]Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng:
A Survey on Detection of LLMs-Generated Content. EMNLP (Findings) 2024: 9786-9805 - [c218]Yujie Lu, Pan Lu, Zhiyu Chen, Wanrong Zhu, Xin Wang, William Yang Wang:
Multimodal Procedural Planning via Dual Text-Image Prompting. EMNLP (Findings) 2024: 10931-10954 - [c217]Wenda Xu, Jiachen Li, William Yang Wang, Lei Li:
BPO: Staying Close to the Behavior LLM Creates Better Online LLM Alignment. EMNLP 2024: 11125-11139 - [c216]Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu:
AKEW: Assessing Knowledge Editing in the Wild. EMNLP 2024: 15118-15133 - [c215]Antonis Antoniades, Yiyi Yu, Joseph Canzano, William Yang Wang, Spencer L. Smith:
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data. ICLR 2024 - [c214]Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Yang Wang, Yinfei Yang, Zhe Gan:
Guiding Instruction-based Image Editing via Multimodal Large Language Models. ICLR 2024 - [c213]Xianjun Yang, Wei Cheng, Yue Wu, Linda Ruth Petzold, William Yang Wang, Haifeng Chen:
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. ICLR 2024 - [c212]Edwin Zhang, Yujie Lu, Shinda Huang, William Yang Wang, Amy Zhang:
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks. ICLR 2024 - [c211]Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang:
Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. ICML 2024 - [c210]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c209]Jiachen Li, Qiaozi Gao, Michael Johnston, Xiaofeng Gao, Xuehai He, Hangjie Shi, Suhaila Shakiah, Reza Ghanadan, William Yang Wang:
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning. ICML 2024 - [c208]Iain Weissburg, Mehir Arora, Xinyi Wang, Liangming Pan, William Yang Wang:
Position: AI/ML Influencers Have a Place in the Academic Process. ICML 2024 - [c207]Danqing Wang
, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj K. Singh, William Yang Wang, Lei Li:
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. KDD 2024: 2991-3000 - [c206]Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang:
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. NAACL (Short Papers) 2024: 572-582 - [c205]Wenda Xu, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Biao Zhang, Zhongtao Liu, William Yang Wang, Lei Li, Markus Freitag:
LLMRefine: Pinpointing and Refining Large Language Models via Fine-Grained Actionable Feedback. NAACL-HLT (Findings) 2024: 1429-1445 - [c204]Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu, Wenhu Chen, William Yang Wang:
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback. NeurIPS 2024 - [c203]Yujie Lu, Dongfu Jiang, Wenhu Chen, William Yang Wang, Yejin Choi, Bill Yuchen Lin:
WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences. NeurIPS 2024 - [c202]Michael Saxon, Fatima Jahara, Mahsa Khoshnoodi, Yujie Lu, Aditya Sharma, William Yang Wang:
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2). NeurIPS 2024 - [c201]Xiaobao Wu, Thong Nguyen, Delvin Zhang, William Yang Wang, Anh Tuan Luu:
FASTopic: Pretrained Transformer is a Fast, Adaptive, Stable, and Transferable Topic Model. NeurIPS 2024 - [i268]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i267]Iain Xie Weissburg, Mehir Arora, Liangming Pan, William Yang Wang:
Tweets to Citations: Unveiling the Impact of Social Media Influencers on AI Research Visibility. CoRR abs/2401.13782 (2024) - [i266]Xuandong Zhao, Xianjun Yang, Tianyu Pang, Chao Du, Lei Li, Yu-Xiang Wang, William Yang Wang:
Weak-to-Strong Jailbreaking on Large Language Models. CoRR abs/2401.17256 (2024) - [i265]Xinyi Wang, Alfonso Amayuelas, Kexun Zhang, Liangming Pan, Wenhu Chen, William Yang Wang:
Understanding the Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation. CoRR abs/2402.03268 (2024) - [i264]Wenda Xu, Guanglei Zhu, Xuandong Zhao, Liangming Pan, Lei Li, William Yang Wang:
Perils of Self-Feedback: Self-Bias Amplifies in Large Language Models. CoRR abs/2402.11436 (2024) - [i263]Alon Albalak, Yanai Elazar, Sang Michael Xie, Shayne Longpre, Nathan Lambert, Xinyi Wang, Niklas Muennighoff, Bairu Hou, Liangming Pan, Haewon Jeong, Colin Raffel, Shiyu Chang, Tatsunori Hashimoto, William Yang Wang:
A Survey on Data Selection for Language Models. CoRR abs/2402.16827 (2024) - [i262]Kexun Zhang, Yee Man Choi, Zhenqiao Song, Taiqi He, William Yang Wang, Lei Li:
Hire a Linguist!: Learning Endangered Languages with In-Context Linguistic Descriptions. CoRR abs/2402.18025 (2024) - [i261]Xiaobao Wu, Liangming Pan, William Yang Wang, Anh Tuan Luu:
Updating Language Models with Unstructured Facts: Towards Practical Knowledge Editing. CoRR abs/2402.18909 (2024) - [i260]Jiachen Li, Weixi Feng, Wenhu Chen, William Yang Wang:
Reward Guided Latent Consistency Distillation. CoRR abs/2403.11027 (2024) - [i259]Michael Saxon, Yiran Luo, Sharon Levy, Chitta Baral, Yezhou Yang, William Yang Wang:
Lost in Translation? Translation Errors and Challenges for Fair Assessment of Text-to-Image Models on Multilingual Concepts. CoRR abs/2403.11092 (2024) - [i258]Yi-Lin Tuan, Xilun Chen, Eric Michael Smith, Louis Martin, Soumya Batra, Asli Celikyilmaz, William Yang Wang, Daniel M. Bikel:
Towards Safety and Helpfulness Balanced Responses via Controllable Large Language Models. CoRR abs/2404.01295 (2024) - [i257]Michael Saxon, Fatima Jahara, Mahsa Khoshnoodi, Yujie Lu, Aditya Sharma, William Yang Wang:
Who Evaluates the Evaluations? Objectively Scoring Text-to-Image Prompt Coherence Metrics with T2IScoreScore (TS2). CoRR abs/2404.04251 (2024) - [i256]Haotian Zhang, Haoxuan You, Philipp Dufter, Bowen Zhang, Chen Chen, Hong-You Chen, Tsu-Jui Fu, William Yang Wang, Shih-Fu Chang, Zhe Gan, Yinfei Yang:
Ferret-v2: An Improved Baseline for Referring and Grounding with Large Language Models. CoRR abs/2404.07973 (2024) - [i255]Wanrong Zhu, Jennifer Healey, Ruiyi Zhang, William Yang Wang, Tong Sun:
Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models. CoRR abs/2404.15271 (2024) - [i254]Zhiyu Zoey Chen, Jing Ma, Xinlu Zhang, Nan Hao, An Yan, Armineh Nourbakhsh, Xianjun Yang, Julian J. McAuley, Linda R. Petzold, William Yang Wang:
A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law. CoRR abs/2405.01769 (2024) - [i253]Yujie Lu, Xiujun Li, Tsu-Jui Fu, Miguel P. Eckstein, William Yang Wang:
From Text to Pixel: Advancing Long-Context Understanding in MLLMs. CoRR abs/2405.14213 (2024) - [i252]Xiaobao Wu, Thong Nguyen, Delvin Ce Zhang, William Yang Wang, Anh Tuan Luu:
FASTopic: A Fast, Adaptive, Stable, and Transferable Topic Modeling Paradigm. CoRR abs/2405.17978 (2024) - [i251]Jiachen Li, Weixi Feng, Tsu-Jui Fu, Xinyi Wang, Sugato Basu, Wenhu Chen, William Yang Wang:
T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback. CoRR abs/2405.18750 (2024) - [i250]Xinlu Zhang, Zhiyu Zoey Chen, Xi Ye, Xianjun Yang, Lichang Chen, William Yang Wang, Linda Ruth Petzold:
Unveiling the Impact of Coding Data Instruction Fine-Tuning on Large Language Models Reasoning. CoRR abs/2405.20535 (2024) - [i249]Xingyu Fu, Muyu He, Yujie Lu, William Yang Wang, Dan Roth:
Commonsense-T2I Challenge: Can Text-to-Image Generation Models Understand Commonsense? CoRR abs/2406.07546 (2024) - [i248]Xuehai He, Weixi Feng, Kaizhi Zheng, Yujie Lu, Wanrong Zhu, Jiachen Li, Yue Fan, Jianfeng Wang, Linjie Li, Zhengyuan Yang, Kevin Lin, William Yang Wang, Lijuan Wang, Xin Eric Wang:
MMWorld: Towards Multi-discipline Multi-faceted World Model Evaluation in Videos. CoRR abs/2406.08407 (2024) - [i247]Weixi Feng, Jiachen Li, Michael Saxon, Tsu-Jui Fu, Wenhu Chen, William Yang Wang:
TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation. CoRR abs/2406.08656 (2024) - [i246]Yujie Lu, Dongfu Jiang, Wenhu Chen, William Yang Wang, Yejin Choi, Bill Yuchen Lin:
WildVision: Evaluating Vision-Language Models in the Wild with Human Preferences. CoRR abs/2406.11069 (2024) - [i245]Wenda Xu, Jiachen Li, William Yang Wang, Lei Li:
BPO: Supercharging Online Preference Learning by Adhering to the Proximity of Behavior LLM. CoRR abs/2406.12168 (2024) - [i244]Danqing Wang, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj K. Singh, William Yang Wang, Lei Li:
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. CoRR abs/2406.13869 (2024) - [i243]Alfonso Amayuelas, Xianjun Yang, Antonis Antoniades, Wenyue Hua, Liangming Pan, William Wang:
MultiAgent Collaboration Attack: Investigating Adversarial Attacks in Large Language Model Collaborations via Debate. CoRR abs/2406.14711 (2024) - [i242]Kyle Wong, Alfonso Amayuelas, Liangming Pan, William Yang Wang:
DistiLRR: Transferring Code Repair for Low-Resource Programming Languages. CoRR abs/2406.14867 (2024) - [i241]Aditya Sharma, Michael Saxon, William Yang Wang:
Losing Visual Needles in Image Haystacks: Vision Language Models are Easily Distracted in Short and Long Contexts. CoRR abs/2406.16851 (2024) - [i240]Qiucheng Wu, Handong Zhao, Michael Saxon, Trung Bui, William Yang Wang, Yang Zhang, Shiyu Chang:
VSP: Assessing the dual challenges of perception and reasoning in spatial planning tasks for VLMs. CoRR abs/2407.01863 (2024) - [i239]Zekun Li, Xianjun Yang, Kyuri Choi, Wanrong Zhu, Ryan Hsieh, HyeonJung Kim, Jin Hyuk Lim, Sungyoung Ji, Byungju Lee, Xifeng Yan, Linda Ruth Petzold, Stephen D. Wilson, Woosang Lim, William Yang Wang:
MMSci: A Multimodal Multi-Discipline Dataset for PhD-Level Scientific Comprehension. CoRR abs/2407.04903 (2024) - [i238]Luke Yoffe, Alfonso Amayuelas, William Yang Wang:
DebUnc: Mitigating Hallucinations in Large Language Model Agent Communication with Uncertainty Estimations. CoRR abs/2407.06426 (2024) - [i237]Charles Dickens, Connor Pryor, Changyu Gao, Alon Albalak, Eriq Augustine, William Yang Wang, Stephen J. Wright, Lise Getoor:
A Mathematical Framework, a Taxonomy of Modeling Paradigms, and a Suite of Learning Techniques for Neural-Symbolic Systems. CoRR abs/2407.09693 (2024) - [i236]Rujun Han, Yuhao Zhang, Peng Qi, Yumo Xu, Jenyuan Wang, Lan Liu, William Yang Wang, Bonan Min, Vittorio Castelli:
RAG-QA Arena: Evaluating Domain Robustness for Long-form Retrieval Augmented Question Answering. CoRR abs/2407.13998 (2024) - [i235]Antonis Antoniades, Xinyi Wang, Yanai Elazar, Alfonso Amayuelas, Alon Albalak, Kexun Zhang, William Yang Wang:
Generalization v.s. Memorization: Tracing Language Models' Capabilities Back to Pretraining Data. CoRR abs/2407.14985 (2024) - [i234]Michael Saxon, Ari Holtzman, Peter West, William Yang Wang, Naomi Saphra:
Benchmarks as Microscopes: A Call for Model Metrology. CoRR abs/2407.16711 (2024) - [i233]Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu:
Can Editing LLMs Inject Harm? CoRR abs/2407.20224 (2024) - [i232]Yi-Lin Tuan, William Yang Wang:
A Gradient Analysis Framework for Rewarding Good and Penalizing Bad Examples in Language Models. CoRR abs/2408.16751 (2024) - [i231]Tiffany Zhu, Iain Weissburg, Kexun Zhang, William Yang Wang:
Human Bias in the Face of AI: The Role of Human Judgement in AI Generated Text Evaluation. CoRR abs/2410.03723 (2024) - [i230]Xunjian Yin, Xinyi Wang, Liangming Pan, Xiaojun Wan, William Yang Wang:
Gödel Agent: A Self-Referential Agent Framework for Recursive Self-Improvement. CoRR abs/2410.04444 (2024) - [i229]Jiachen Li, Qian Long, Jian Zheng, Xiaofeng Gao, Robinson Piramuthu, Wenhu Chen, William Yang Wang:
T2V-Turbo-v2: Enhancing Video Generation Model Post-Training through Data, Reward, and Conditional Guidance Design. CoRR abs/2410.05677 (2024) - [i228]Juhyun Oh, Eunsu Kim, Jiseon Kim, Wenda Xu, Inha Cha, William Yang Wang, Alice Oh:
Uncovering Factor Level Preferences to Improve Human-Model Alignment. CoRR abs/2410.06965 (2024) - [i227]Gyuwan Kim, Yang Li, Evangelia Spiliopoulou, Jie Ma, Miguel Ballesteros, William Yang Wang:
Detecting Training Data of Large Language Models via Expectation Maximization. CoRR abs/2410.07582 (2024) - [i226]Sitao Cheng, Liangming Pan, Xunjian Yin, Xinyi Wang, William Yang Wang:
Understanding the Interplay between Parametric and Contextual Knowledge for Large Language Models. CoRR abs/2410.08414 (2024) - [i225]Yuxi Xie, Anirudh Goyal, Xiaobao Wu, Xunjian Yin, Xiao Xu, Min-Yen Kan, Liangming Pan, William Yang Wang:
COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement. CoRR abs/2410.09675 (2024) - [i224]Wenda Xu, Rujun Han, Zifeng Wang, Long T. Le, Dhruv Madeka, Lei Li, William Yang Wang, Rishabh Agarwal, Chen-Yu Lee, Tomas Pfister:
Speculative Knowledge Distillation: Bridging the Teacher-Student Gap Through Interleaved Sampling. CoRR abs/2410.11325 (2024) - [i223]Mian Zhang, Xianjun Yang, Xinlu Zhang, Travis Labrum, Jamie C. Chiu, Shaun M. Eack, Fei Fang, William Yang Wang, Zhiyu Zoey Chen:
CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy. CoRR abs/2410.13218 (2024) - [i222]Antonis Antoniades, Albert Örwall, Kexun Zhang, Yuxi Xie, Anirudh Goyal, William Yang Wang:
SWE-Search: Enhancing Software Agents with Monte Carlo Tree Search and Iterative Refinement. CoRR abs/2410.20285 (2024) - [i221]Kexun Zhang, Shang Zhou, Danqing Wang, William Yang Wang, Lei Li:
Scaling LLM Inference with Optimized Sample Compute Allocation. CoRR abs/2410.22480 (2024) - [i220]Wenyue Hua, Ollie Liu, Lingyao Li, Alfonso Amayuelas, Julie Chen, Lucas Jiang, Mingyu Jin, Lizhou Fan, Fei Sun, William Wang, Xintong Wang, Yongfeng Zhang:
Game-theoretic LLM: Agent Workflow for Negotiation Games. CoRR abs/2411.05990 (2024) - [i219]Mingyu Jin, Weidi Luo, Sitao Cheng, Xinyi Wang, Wenyue Hua, Ruixiang Tang, William Yang Wang, Yongdong Zhang:
Disentangling Memory and Reasoning Ability in Large Language Models. CoRR abs/2411.13504 (2024) - [i218]Tiffany Zhu, Kexun Zhang, William Yang Wang:
Embracing AI in Education: Understanding the Surge in Large Language Model Use by Secondary Students. CoRR abs/2411.18708 (2024) - [i217]Ruiwen Zhou, Wenyue Hua, Liangming Pan, Sitao Cheng, Xiaobao Wu, En Yu, William Yang Wang:
RuleArena: A Benchmark for Rule-Guided Reasoning with LLMs in Real-World Scenarios. CoRR abs/2412.08972 (2024) - [i216]Shengqiong Wu, Hao Fei, Liangming Pan, William Yang Wang, Shuicheng Yan, Tat-Seng Chua:
Combating Multimodal LLM Hallucination via Bottom-Up Holistic Reasoning. CoRR abs/2412.11124 (2024) - [i215]Xiaobao Wu, Liangming Pan, Yuxi Xie, Ruiwen Zhou, Shuai Zhao, Yubo Ma, Mingzhe Du, Rui Mao, Anh Tuan Luu, William Yang Wang:
AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge. CoRR abs/2412.13670 (2024) - [i214]Jundong Xu, Hao Fei, Meng Luo, Qian Liu, Liangming Pan, William Yang Wang, Preslav Nakov, Mong-Li Lee, Wynne Hsu:
Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework. CoRR abs/2412.16953 (2024) - 2023
- [j6]Xue Han, Zuojin Hu, William Yang Wang:
COVID-19 Diagnosis by Wavelet Entropy and Extreme Learning Machine. EAI Endorsed Trans. e Learn. 8(1): e3 (2023) - [j5]Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda:
Holistic Evaluation of Language Models. Trans. Mach. Learn. Res. 2023 (2023) - [c200]Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang:
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. ACL (Findings) 2023: 2333-2346 - [c199]Rujun Han, Peng Qi, Yuhao Zhang, Lan Liu, Juliette Burger, William Yang Wang, Zhiheng Huang, Bing Xiang, Dan Roth:
RobustQA: Benchmarking the Robustness of Domain Adaptation for Open-Domain Question Answering. ACL (Findings) 2023: 4294-4311 - [c198]Michael Saxon, William Yang Wang:
Multilingual Conceptual Coverage in Text-to-Image Models. ACL (1) 2023: 4831-4848 - [c197]Wenda Xu, Xian Qian, Mingxuan Wang, Lei Li, William Yang Wang:
SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes. ACL (1) 2023: 5166-5183 - [c196]Jifan Chen, Yuhao Zhang, Lan Liu, Rui Dong, Xinchi Chen, Patrick Ng, William Yang Wang, Zhiheng Huang:
Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations. ACL (Findings) 2023: 5523-5539 - [c195]Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov:
Fact-Checking Complex Claims with Program-Guided Reasoning. ACL (1) 2023: 6981-7004 - [c194]Sijia Wang, Alexander Hanbo Li, Henghui Zhu, Sheng Zhang, Pramuditha Perera, Chung-Wei Hang, Jie Ma, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Bing Xiang, Patrick Ng:
Benchmarking Diverse-Modal Entity Linking with Generative Models. ACL (Findings) 2023: 7841-7857 - [c193]Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang:
Language Agnostic Multilingual Information Retrieval with Contrastive Learning. ACL (Findings) 2023: 9133-9146 - [c192]Manoj Ghuhan Arivazhagan, Lan Liu, Peng Qi, Xinchi Chen, William Yang Wang, Zhiheng Huang:
Hybrid Hierarchical Retrieval for Open-Domain Question Answering. ACL (Findings) 2023: 10680-10689 - [c191]Alex Mei, Sharon Levy, William Yang Wang:
Foveate, Attribute, and Rationalize: Towards Physically Safe and Trustworthy AI. ACL (Findings) 2023: 11021-11036 - [c190]Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang:
CausalDialogue: Modeling Utterance-level Causality in Conversations. ACL (Findings) 2023: 12506-12522 - [c189]Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Yang Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang:
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. ACL (1) 2023: 16171-16189 - [c188]Daniel Xiaodan Zhou, Lan Liu, Anmol Anubhai, Maansi Shandilya, Steph Sigalas, William Yang Wang, Zhiheng Huang:
Beyond Accurate Answers: Evaluating Open-Domain Question Answering in Enterprise Search. CHIIR 2023: 308-312 - [c187]Tsu-Jui Fu, Licheng Yu, Ning Zhang, Cheng-Yang Fu, Jong-Chyi Su, William Yang Wang, Sean Bell:
Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation. CVPR 2023: 10681-10692 - [c186]Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin, William Yang Wang, Lijuan Wang, Zicheng Liu:
An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling. CVPR 2023: 22898-22909 - [c185]Alon Albalak, Sharon Levy, William Yang Wang:
Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains. EACL (System Demonstrations) 2023: 1-10 - [c184]Wanrong Zhu, An Yan, Yujie Lu, Wenda Xu, Xin Wang, Miguel P. Eckstein, William Yang Wang:
Visualize Before You Write: Imagination-Guided Open-Ended Text Generation. EACL (Findings) 2023: 78-92 - [c183]Wanrong Zhu, Xin Wang, An Yan, Miguel P. Eckstein, William Yang Wang:
ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation. EACL (Findings) 2023: 93-105 - [c182]Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown:
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. EACL (Findings) 2023: 512-525 - [c181]Michael Saxon, Xinyi Wang, Wenda Xu, William Yang Wang:
PECO: Examining Single Sentence Label Leakage in Natural Language Inference Datasets through Progressive Evaluation of Cluster Outliers. EACL 2023: 3053-3066 - [c180]Vaishnavi Himakunthala, Andy Ouyang, Daniel Rose, Ryan He, Alex Mei, Yujie Lu, Chinmay Sonar, Michael Saxon, William Yang Wang:
Let's Think Frame by Frame with VIP: A Video Infilling and Prediction Dataset for Evaluating Video Chain-of-Thought. EMNLP 2023: 204-219 - [c179]Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang:
On the Risk of Misinformation Pollution with Large Language Models. EMNLP (Findings) 2023: 1389-1403 - [c178]Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang:
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. EMNLP (Findings) 2023: 3806-3824 - [c177]Zhiyu Chen, Yujie Lu, William Yang Wang:
Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought Prompting. EMNLP (Findings) 2023: 4295-4304 - [c176]Siqi Liu, Weixi Feng, Tsu-Jui Fu, Wenhu Chen, William Wang:
EDIS: Entity-Driven Image Search over Multimodal Web Content. EMNLP 2023: 4877-4894 - [c175]Alex Mei, Sharon Levy, William Yang Wang:
ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models. EMNLP (Findings) 2023: 5831-5847 - [c174]Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Wang, Lei Li:
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. EMNLP 2023: 5967-5994 - [c173]Deepak Nathani, David Wang, Liangming Pan, William Yang Wang:
MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models. EMNLP 2023: 6591-6616 - [c172]Hui Liu, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang, Yifan Gao, Zheng Li, Xian Li, Chao Zhang, Bing Yin, William Wang, Xiaodan Zhu:
Knowledge-Selective Pretraining for Attribute Value Extraction. EMNLP (Findings) 2023: 8062-8074 - [c171]Wanrong Zhu, Xinyi Wang, Yujie Lu, Tsu-Jui Fu, Xin Wang, Miguel P. Eckstein, William Wang:
Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. EMNLP 2023: 11113-11122 - [c170]Kaiser Sun, Peng Qi, Yuhao Zhang, Lan Liu, William Yang Wang, Zhiheng Huang:
Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks. EMNLP (Findings) 2023: 13300-13310 - [c169]Michael Saxon, William Yang Wang:
Disparities in Text-to-Image Model Concept Possession Across Languages. FAccT 2023: 1870 - [c168]An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley:
Learning Concise and Descriptive Attributes for Visual Recognition. ICCV 2023: 3067-3077 - [c167]Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang:
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. ICLR 2023 - [c166]Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang:
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. ICLR 2023 - [c165]Matthew Ho, Aditya Sharma, Justin Chang, Michael Saxon, Sharon Levy, Yujie Lu, William Yang Wang:
WikiWhy: Answering and Explaining Cause-and-Effect Questions. ICLR 2023 - [c164]Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang:
Neuro-Symbolic Procedural Planning with Commonsense Prompting. ICLR 2023 - [c163]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henghui Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, Zhiheng Huang, William Yang Wang, George Karypis, Bing Xiang, Dan Roth:
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. ICLR 2023 - [c162]Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang:
Causal Balancing for Domain Generalization. ICLR 2023 - [c161]Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Yang Wang, Zhiguo Wang, Bing Xiang:
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. ICLR 2023 - [c160]Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang:
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators. ICML 2023: 20485-20528 - [c159]Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li:
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval. ICML 2023: 41770-41785 - [c158]Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, Lise Getoor:
NeuPSL: Neural Probabilistic Soft Logic. IJCAI 2023: 4145-4153 - [c157]Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang:
Attacking Open-domain Question Answering by Injecting Misinformation. IJCNLP (1) 2023: 525-539 - [c156]Avani Tanna, Michael Saxon, Amr El Abbadi, William Yang Wang:
Data Augmentation for Diverse Voice Conversion in Noisy Environments. INTERSPEECH 2023: 2024-2025 - [c155]Alon Albalak, Colin A. Raffel, William Yang Wang:
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data. NeurIPS 2023 - [c154]Zih-Yun Chiu, Yi-Lin Tuan, William Yang Wang, Michael C. Yip:
Flexible Attention-Based Multi-Policy Fusion for Efficient Deep Reinforcement Learning. NeurIPS 2023 - [c153]Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang:
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. NeurIPS 2023 - [c152]Yujie Lu, Xianjun Yang, Xiujun Li, Xin Eric Wang, William Yang Wang:
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation. NeurIPS 2023 - [c151]Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang:
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning. NeurIPS 2023 - [c150]Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li:
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers. NeurIPS 2023 - [c149]Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi:
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text. NeurIPS 2023 - [i213]Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang:
Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. CoRR abs/2301.08881 (2023) - [i212]Kung-Hsiang Huang, Siffi Singh, Xiaofei Ma, Wei Xiao, Feng Nan, Nicholas Dingwall, William Yang Wang, Kathleen R. McKeown:
SWING: Balancing Coverage and Faithfulness for Dialogue Summarization. CoRR abs/2301.10483 (2023) - [i211]Xinyi Wang, Wanrong Zhu, William Yang Wang:
Large Language Models Are Implicitly Topic Models: Explaining and Finding Good Demonstrations for In-Context Learning. CoRR abs/2301.11916 (2023) - [i210]Alon Albalak, Colin Raffel, William Yang Wang:
Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data. CoRR abs/2302.00674 (2023) - [i209]Kexun Zhang, Xianjun Yang, William Yang Wang, Lei Li:
ReDi: Efficient Learning-Free Diffusion Inference via Trajectory Retrieval. CoRR abs/2302.02285 (2023) - [i208]Danilo Neves Ribeiro, Shen Wang, Xiaofei Ma, Henry Zhu, Rui Dong, Deguang Kong, Juliette Burger, Anjelica Ramos, William Yang Wang, Zhiheng Huang, George Karypis, Bing Xiang, Dan Roth:
STREET: A Multi-Task Structured Reasoning and Explanation Benchmark. CoRR abs/2302.06729 (2023) - [i207]Alex Mei, Michael Saxon, Shiyu Chang, Zachary C. Lipton, William Yang Wang:
Users are the North Star for AI Transparency. CoRR abs/2303.05500 (2023) - [i206]Wanrong Zhu, Jack Hessel, Anas Awadalla, Samir Yitzhak Gadre, Jesse Dodge, Alex Fang, Youngjae Yu, Ludwig Schmidt, William Yang Wang, Yejin Choi:
Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved With Text. CoRR abs/2304.06939 (2023) - [i205]Yujie Lu, Pan Lu, Zhiyu Chen, Wanrong Zhu, Xin Eric Wang, William Yang Wang:
Multimodal Procedural Planning via Dual Text-Image Prompting. CoRR abs/2305.01795 (2023) - [i204]Daniel Rose, Vaishnavi Himakunthala, Andy Ouyang, Ryan He, Alex Mei, Yujie Lu, Michael Saxon, Chinmay Sonar, Diba Mirza, William Yang Wang:
Visual Chain of Thought: Bridging Logical Gaps with Multimodal Infillings. CoRR abs/2305.02317 (2023) - [i203]Avani Tanna, Michael Saxon, Amr El Abbadi, William Yang Wang:
Data Augmentation for Diverse Voice Conversion in Noisy Environments. CoRR abs/2305.10684 (2023) - [i202]Xuehai He, Weixi Feng, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang:
Discriminative Diffusion Models as Few-shot Vision and Language Learners. CoRR abs/2305.10722 (2023) - [i201]Yujie Lu, Xianjun Yang, Xiujun Li, Xin Eric Wang, William Yang Wang:
LLMScore: Unveiling the Power of Large Language Models in Text-to-Image Synthesis Evaluation. CoRR abs/2305.11116 (2023) - [i200]Wanrong Zhu, Xinyi Wang, Yujie Lu, Tsu-Jui Fu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang:
Collaborative Generative AI: Integrating GPT-k for Efficient Editing in Text-to-Image Generation. CoRR abs/2305.11317 (2023) - [i199]Liangming Pan, Alon Albalak, Xinyi Wang, William Yang Wang:
Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning. CoRR abs/2305.12295 (2023) - [i198]Liangming Pan, Xiaobao Wu, Xinyuan Lu, Anh Tuan Luu, William Yang Wang, Min-Yen Kan, Preslav Nakov:
Fact-Checking Complex Claims with Program-Guided Reasoning. CoRR abs/2305.12744 (2023) - [i197]Siqi Liu, Weixi Feng, Wenhu Chen, William Yang Wang:
EDIS: Entity-Driven Image Search over Multimodal Web Content. CoRR abs/2305.13631 (2023) - [i196]Yikang Pan, Liangming Pan, Wenhu Chen, Preslav Nakov, Min-Yen Kan, William Yang Wang:
On the Risk of Misinformation Pollution with Large Language Models. CoRR abs/2305.13661 (2023) - [i195]Shuo Zhang, Liangming Pan, Junzhou Zhao, William Yang Wang:
Mitigating Language Model Hallucination with Interactive Question-Knowledge Alignment. CoRR abs/2305.13669 (2023) - [i194]Alfonso Amayuelas, Liangming Pan, Wenhu Chen, William Yang Wang:
Knowledge of Knowledge: Exploring Known-Unknowns Uncertainty with Large Language Models. CoRR abs/2305.13712 (2023) - [i193]Vaishnavi Himakunthala, Andy Ouyang, Daniel Rose, Ryan He, Alex Mei, Yujie Lu, Chinmay Sonar, Michael Saxon, William Yang Wang:
Let's Think Frame by Frame: Evaluating Video Chain of Thought with Video Infilling and Prediction. CoRR abs/2305.13903 (2023) - [i192]Wenda Xu, Danqing Wang, Liangming Pan, Zhenqiao Song, Markus Freitag, William Yang Wang, Lei Li:
INSTRUCTSCORE: Towards Explainable Text Generation Evaluation with Automatic Feedback. CoRR abs/2305.14282 (2023) - [i191]Tsu-Jui Fu, Wenhan Xiong, Yixin Nie, Jingyu Liu, Barlas Oguz, William Yang Wang:
Text-guided 3D Human Generation from 2D Collections. CoRR abs/2305.14312 (2023) - [i190]Kexun Zhang, Danqing Wang, Jingtao Xia, William Yang Wang, Lei Li:
ALGO: Synthesizing Algorithmic Programs with Generated Oracle Verifiers. CoRR abs/2305.14591 (2023) - [i189]Weixi Feng, Wanrong Zhu, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Xuehai He, Sugato Basu, Xin Eric Wang, William Yang Wang:
LayoutGPT: Compositional Visual Planning and Generation with Large Language Models. CoRR abs/2305.15393 (2023) - [i188]Sijia Wang, Alexander Hanbo Li, Henry Zhu, Sheng Zhang, Chung-Wei Hang, Pramuditha Perera, Jie Ma, William Wang, Zhiguo Wang, Vittorio Castelli, Bing Xiang, Patrick Ng:
Benchmarking Diverse-Modal Entity Linking with Generative Models. CoRR abs/2305.17337 (2023) - [i187]Xianjun Yang, Wei Cheng, Linda R. Petzold, William Yang Wang, Haifeng Chen:
DNA-GPT: Divergent N-Gram Analysis for Training-Free Detection of GPT-Generated Text. CoRR abs/2305.17359 (2023) - [i186]Xingyu Fu, Sheng Zhang, Gukyeong Kwon, Pramuditha Perera, Henghui Zhu, Yuhao Zhang, Alexander Hanbo Li, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Dan Roth, Bing Xiang:
Generate then Select: Open-ended Visual Question Answering Guided by World Knowledge. CoRR abs/2305.18842 (2023) - [i185]Michael Saxon, William Yang Wang:
Multilingual Conceptual Coverage in Text-to-Image Models. CoRR abs/2306.01735 (2023) - [i184]Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler, William Yang Wang:
VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View. CoRR abs/2307.06082 (2023) - [i183]Liangming Pan, Michael Saxon, Wenda Xu, Deepak Nathani, Xinyi Wang, William Yang Wang:
Automatically Correcting Large Language Models: Surveying the landscape of diverse self-correction strategies. CoRR abs/2308.03188 (2023) - [i182]An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian J. McAuley:
Learning Concise and Descriptive Attributes for Visual Recognition. CoRR abs/2308.03685 (2023) - [i181]Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou, Jie Ma, Patrick Ng, Zhiguo Wang, Bonan Min, William Wang, Kathleen R. McKeown, Vittorio Castelli, Dan Roth, Bing Xiang:
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning. CoRR abs/2308.05317 (2023) - [i180]Tsu-Jui Fu, Wenze Hu, Xianzhi Du, William Yang Wang, Yinfei Yang, Zhe Gan:
Guiding Instruction-based Image Editing via Multimodal Large Language Models. CoRR abs/2309.17102 (2023) - [i179]Xianjun Yang, Xiao Wang, Qi Zhang, Linda R. Petzold, William Yang Wang, Xun Zhao, Dahua Lin:
Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models. CoRR abs/2310.02949 (2023) - [i178]Xianjun Yang, Kexun Zhang, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng:
Zero-Shot Detection of Machine-Generated Codes. CoRR abs/2310.05103 (2023) - [i177]Kexun Zhang, Hongqiao Chen, Lei Li, William Yang Wang:
Syntax Error-Free and Generalizable Tool Use for LLMs via Finite-State Decoding. CoRR abs/2310.07075 (2023) - [i176]Zhiyu Chen, Yujie Lu, William Yang Wang:
Empowering Psychotherapy with Large Language Models: Cognitive Distortion Detection through Diagnosis of Thought Prompting. CoRR abs/2310.07146 (2023) - [i175]Alex Mei, Sharon Levy, William Yang Wang:
ASSERT: Automated Safety Scenario Red Teaming for Evaluating the Robustness of Large Language Models. CoRR abs/2310.09624 (2023) - [i174]Jiachen Li, Qiaozi Gao, Michael Johnston, Xiaofeng Gao, Xuehai He, Suhaila Shakiah, Hangjie Shi, Reza Ghanadan, William Yang Wang:
Mastering Robot Manipulation with Multimodal Prompts through Pretraining and Multi-task Fine-tuning. CoRR abs/2310.09676 (2023) - [i173]Deepak Nathani, David Wang, Liangming Pan, William Yang Wang:
MAF: Multi-Aspect Feedback for Improving Reasoning in Large Language Models. CoRR abs/2310.12426 (2023) - [i172]Xianjun Yang, Liangming Pan, Xuandong Zhao, Haifeng Chen, Linda R. Petzold, William Yang Wang, Wei Cheng:
A Survey on Detection of LLMs-Generated Content. CoRR abs/2310.15654 (2023) - [i171]Antonis Antoniades, Yiyi Yu, Joseph Canzano, William Wang, Spencer LaVere Smith:
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data. CoRR abs/2311.00136 (2023) - [i170]Xinlu Zhang, Yujie Lu, Weizhi Wang, An Yan, Jun Yan, Lianke Qin, Heng Wang, Xifeng Yan, William Yang Wang, Linda Ruth Petzold:
GPT-4V(ision) as a Generalist Evaluator for Vision-Language Tasks. CoRR abs/2311.01361 (2023) - [i169]Wenda Xu, Daniel Deutsch, Mara Finkelstein, Juraj Juraska, Biao Zhang, Zhongtao Liu, William Yang Wang, Lei Li, Markus Freitag:
Pinpoint, Not Criticize: Refining Large Language Models via Fine-Grained Actionable Feedback. CoRR abs/2311.09336 (2023) - [i168]Yujie Lu, Xiujun Li, William Yang Wang, Yejin Choi:
VIM: Probing Multimodal Large Language Models for Visual Embedded Instruction Following. CoRR abs/2311.17647 (2023) - [i167]Alon Albalak, Liangming Pan, Colin Raffel, William Yang Wang:
Efficient Online Data Mixing For Language Model Pre-Training. CoRR abs/2312.02406 (2023) - 2022
- [c148]Tsu-Jui Fu, William Yang Wang, Daniel McDuff, Yale Song:
DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents. AAAI 2022: 634-642 - [c147]Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang:
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer. AAAI 2022: 11566-11574 - [c146]Yi-Lin Tuan, Sajjad Beygi, Maryam Fazel-Zarandi, Qiaozi Gao, Alessandra Cervone, William Yang Wang:
Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems. ACL (Findings) 2022: 383-395 - [c145]Kai Nakamura, Sharon Levy, Yi-Lin Tuan, Wenhu Chen, William Yang Wang:
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data. ACL (Findings) 2022: 481-492 - [c144]Alon Albalak, Varun Embar, Yi-Lin Tuan, Lise Getoor, William Yang Wang:
D-REX: Dialogue Relation Extraction with Explanations. ConvAI@ACL 2022: 34-46 - [c143]Ping Nie, Yujie Lu, Shengyu Zhang, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren:
MIC: Model-agnostic Integrated Cross-channel Recommender. CIKM 2022: 3400-3409 - [c142]Wanrong Zhu, Bo Pang, Ashish V. Thapliyal, William Yang Wang, Radu Soricut:
End-to-end Dense Video Captioning as Sequence Generation. COLING 2022: 5651-5665 - [c141]Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
M3L: Language-based Video Editing via Multi-Modal Multi-Level Transformers. CVPR 2022: 10503-10512 - [c140]Tsu-Jui Fu, Xin Eric Wang, William Yang Wang:
Language-Driven Artistic Style Transfer. ECCV (36) 2022: 717-734 - [c139]Sharon Levy, Emily Allaway, Melanie Subbiah, Lydia B. Chilton, Desmond Patton, Kathleen R. McKeown, William Yang Wang:
SafeText: A Benchmark for Exploring Physical Safety in Language Models. EMNLP 2022: 2407-2421 - [c138]Alex Mei, Anisha Kabir, Sharon Levy, Melanie Subbiah, Emily Allaway, John Judge, Desmond Patton, Bruce Bimber, Kathleen R. McKeown, William Yang Wang:
Mitigating Covertly Unsafe Text within Natural Language Systems. EMNLP (Findings) 2022: 2914-2926 - [c137]Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun R. Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Wang:
CPL: Counterfactual Prompt Learning for Vision and Language Models. EMNLP 2022: 3407-3418 - [c136]Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang:
Bridging the Training-Inference Gap for Dense Phrase Retrieval. EMNLP (Findings) 2022: 3713-3724 - [c135]Zhiyu Chen, Shiyang Li, Charese Smiley, Zhiqiang Ma, Sameena Shah, William Yang Wang:
ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering. EMNLP 2022: 6279-6292 - [c134]Weixi Feng, Tsu-Jui Fu, Yujie Lu, William Yang Wang:
ULN: Towards Underspecified Vision-and-Language Navigation. EMNLP 2022: 6394-6412 - [c133]Wenda Xu, Yi-Lin Tuan, Yujie Lu, Michael Saxon, Lei Li, William Yang Wang:
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis. EMNLP (Findings) 2022: 6559-6574 - [c132]Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang:
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. EMNLP 2022: 10936-10953 - [c131]Alex Mei, Anisha Kabir, Rukmini Bapat, John Judge, Tony Sun, William Yang Wang:
Learning to Prioritize: Precision-Driven Sentence Filtering for Long Text Summarization. LREC 2022: 313-318 - [c130]Samhita Honnavalli, Aesha Parekh, Lily Ou, Sophie Groenwold, Sharon Levy, Vicente Ordonez, William Yang Wang:
Towards Understanding Gender-Seniority Compound Bias in Natural Language Generation. LREC 2022: 1665-1670 - [c129]Zhiyu Chen, Bing Liu, Seungwhan Moon, Chinnadhurai Sankar, Paul A. Crook, William Yang Wang:
KETOD: Knowledge-Enriched Task-Oriented Dialogue. NAACL-HLT (Findings) 2022: 2581-2593 - [c128]Yujie Lu, Wanrong Zhu, Xin Wang, Miguel P. Eckstein, William Yang Wang:
Imagination-Augmented Natural Language Understanding. NAACL-HLT 2022: 4392-4402 - [c127]Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Wang, Qi Wu, Miguel P. Eckstein, William Yang Wang:
Diagnosing Vision-and-Language Navigation: What Really Matters. NAACL-HLT 2022: 5981-5993 - [c126]Eriq Augustine, Connor Pryor, Charles Dickens, Jay Pujara, William Yang Wang, Lise Getoor:
Visual Sudoku Puzzle Classification: A Suite of Collective Neuro-Symbolic Tasks. NeSy 2022: 15-29 - [i166]Alon Albalak, Sharon Levy, William Yang Wang:
Addressing Issues of Cross-Linguality in Open-Retrieval Question Answering Systems For Emergent Domains. CoRR abs/2201.11153 (2022) - [i165]Yi-Lin Tuan, Sajjad Beygi, Maryam Fazel-Zarandi, Qiaozi Gao, Alessandra Cervone, William Yang Wang:
Towards Large-Scale Interpretable Knowledge Graph Reasoning for Dialogue Systems. CoRR abs/2203.10610 (2022) - [i164]Wanrong Zhu, Bo Pang, Ashish V. Thapliyal, William Yang Wang, Radu Soricut:
End-to-end Dense Video Captioning as Sequence Generation. CoRR abs/2204.08121 (2022) - [i163]Yujie Lu, Wanrong Zhu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang:
Imagination-Augmented Natural Language Understanding. CoRR abs/2204.08535 (2022) - [i162]Kai Nakamura, Sharon Levy, Yi-Lin Tuan, Wenhu Chen, William Yang Wang:
HybriDialogue: An Information-Seeking Dialogue Dataset Grounded on Tabular and Textual Data. CoRR abs/2204.13243 (2022) - [i161]Zhiyu Chen, Bing Liu, Seungwhan Moon, Chinnadhurai Sankar, Paul A. Crook, William Yang Wang:
KETOD: Knowledge-Enriched Task-Oriented Dialogue. CoRR abs/2205.05589 (2022) - [i160]Alon Albalak, Yi-Lin Tuan, Pegah Jandaghi, Connor Pryor, Luke Yoffe, Deepak Ramachandran, Lise Getoor, Jay Pujara, William Yang Wang:
FETA: A Benchmark for Few-Sample Task Transfer in Open-Domain Dialogue. CoRR abs/2205.06262 (2022) - [i159]Samhita Honnavalli, Aesha Parekh, Lily Ou, Sophie Groenwold, Sharon Levy, Vicente Ordonez, William Yang Wang:
Towards Understanding Gender-Seniority Compound Bias in Natural Language Generation. CoRR abs/2205.09830 (2022) - [i158]Connor Pryor, Charles Dickens, Eriq Augustine, Alon Albalak, William Yang Wang, Lise Getoor:
NeuPSL: Neural Probabilistic Soft Logic. CoRR abs/2205.14268 (2022) - [i157]Yujie Lu, Weixi Feng, Wanrong Zhu, Wenda Xu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang:
Neuro-Symbolic Causal Language Planning with Commonsense Prompting. CoRR abs/2206.02928 (2022) - [i156]Xinyi Wang, Michael Saxon, Jiachen Li, Hongyang Zhang, Kun Zhang, William Yang Wang:
Causal Balancing for Domain Generalization. CoRR abs/2206.05263 (2022) - [i155]Eriq Augustine, Pegah Jandaghi, Alon Albalak, Connor Pryor, Charles Dickens, William Yang Wang, Lise Getoor:
Emotion Recognition in Conversation using Probabilistic Soft Logic. CoRR abs/2207.07238 (2022) - [i154]Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin, William Yang Wang, Lijuan Wang, Zicheng Liu:
An Empirical Study of End-to-End Video-Language Transformers with Masked Visual Modeling. CoRR abs/2209.01540 (2022) - [i153]Yujie Lu, Huiliang Zhang, Ping Nie, Weixi Feng, Wenda Xu, Xin Eric Wang, William Yang Wang:
Anticipating the Unseen Discrepancy for Vision and Language Navigation. CoRR abs/2209.04725 (2022) - [i152]Donghan Yu, Sheng Zhang, Patrick Ng, Henghui Zhu, Alexander Hanbo Li, Jun Wang, Yiqun Hu, William Wang, Zhiguo Wang, Bing Xiang:
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge Bases. CoRR abs/2210.00063 (2022) - [i151]Yi-Lin Tuan, Zih-Yun Chiu, William Yang Wang:
Atomized Deep Learning Models. CoRR abs/2210.03728 (2022) - [i150]Zih-Yun Chiu, Yi-Lin Tuan, William Yang Wang, Michael C. Yip:
Knowledge-Grounded Reinforcement Learning. CoRR abs/2210.03729 (2022) - [i149]Wanrong Zhu, An Yan, Yujie Lu, Wenda Xu, Xin Eric Wang, Miguel P. Eckstein, William Yang Wang:
Visualize Before You Write: Imagination-Guided Open-Ended Text Generation. CoRR abs/2210.03765 (2022) - [i148]Zhiyu Chen, Shiyang Li, Charese Smiley, Zhiqiang Ma, Sameena Shah, William Yang Wang:
ConvFinQA: Exploring the Chain of Numerical Reasoning in Conversational Finance Question Answering. CoRR abs/2210.03849 (2022) - [i147]Wenda Xu, Yi-Lin Tuan, Yujie Lu, Michael Saxon, Lei Li, William Yang Wang:
Not All Errors are Equal: Learning Text Generation Metrics using Stratified Error Synthesis. CoRR abs/2210.05035 (2022) - [i146]An Yan, Jiacheng Li, Wanrong Zhu, Yujie Lu, William Yang Wang, Julian J. McAuley:
CLIP also Understands Text: Prompting CLIP for Phrase Understanding. CoRR abs/2210.05836 (2022) - [i145]Xiyang Hu, Xinchi Chen, Peng Qi, Deguang Kong, Kunlun Liu, William Yang Wang, Zhiheng Huang:
Language Agnostic Multilingual Information Retrieval with Contrastive Learning. CoRR abs/2210.06633 (2022) - [i144]Alex Mei, Anisha Kabir, Sharon Levy, Melanie Subbiah, Emily Allaway, John Judge, Desmond Patton, Bruce Bimber, Kathleen R. McKeown, William Yang Wang:
Mitigating Covertly Unsafe Text within Natural Language Systems. CoRR abs/2210.09306 (2022) - [i143]Weixi Feng, Tsu-Jui Fu, Yujie Lu, William Yang Wang:
ULN: Towards Underspecified Vision-and-Language Navigation. CoRR abs/2210.10020 (2022) - [i142]Sharon Levy, Emily Allaway, Melanie Subbiah, Lydia B. Chilton, Desmond Patton, Kathleen R. McKeown, William Yang Wang:
SafeText: A Benchmark for Exploring Physical Safety in Language Models. CoRR abs/2210.10045 (2022) - [i141]Xuehai He, Diji Yang, Weixi Feng, Tsu-Jui Fu, Arjun R. Akula, Varun Jampani, Pradyumna Narayana, Sugato Basu, William Yang Wang, Xin Eric Wang:
CPL: Counterfactual Prompt Learning for Vision and Language Models. CoRR abs/2210.10362 (2022) - [i140]Josiah Ross, Luke Yoffe, Alon Albalak, William Yang Wang:
An Exploration of Data Efficiency in Intra-Dataset Task Transfer for Dialog Understanding. CoRR abs/2210.11729 (2022) - [i139]Matthew Ho, Aditya Sharma, Justin Chang, Michael Saxon, Sharon Levy, Yujie Lu, William Yang Wang:
WikiWhy: Answering and Explaining Cause-and-Effect Questions. CoRR abs/2210.12152 (2022) - [i138]Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang:
Bridging the Training-Inference Gap for Dense Phrase Retrieval. CoRR abs/2210.13678 (2022) - [i137]Edwin Zhang, Yujie Lu, William Wang, Amy Zhang:
LAD: Language Augmented Diffusion for Reinforcement Learning. CoRR abs/2210.15629 (2022) - [i136]Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, Benjamin Newman, Binhang Yuan, Bobby Yan, Ce Zhang, Christian Cosgrove, Christopher D. Manning, Christopher Ré, Diana Acosta-Navas, Drew A. Hudson, Eric Zelikman, Esin Durmus, Faisal Ladhak, Frieda Rong, Hongyu Ren, Huaxiu Yao, Jue Wang, Keshav Santhanam, Laurel J. Orr, Lucia Zheng, Mert Yüksekgönül, Mirac Suzgun, Nathan Kim, Neel Guha, Niladri S. Chatterji, Omar Khattab, Peter Henderson, Qian Huang, Ryan Chi, Sang Michael Xie, Shibani Santurkar, Surya Ganguli, Tatsunori Hashimoto, Thomas Icard, Tianyi Zhang, Vishrav Chaudhary, William Wang, Xuechen Li, Yifan Mai, Yuhui Zhang, Yuta Koreeda:
Holistic Evaluation of Language Models. CoRR abs/2211.09110 (2022) - [i135]Tsu-Jui Fu, Licheng Yu, Ning Zhang, Cheng-Yang Fu, Jong-Chyi Su, William Yang Wang, Sean Bell:
Tell Me What Happened: Unifying Text-guided Video Completion via Multimodal Masked Video Generation. CoRR abs/2211.12824 (2022) - [i134]Jiachen Li, Edwin Zhang, Ming Yin, Qinxun Bai, Yu-Xiang Wang, William Yang Wang:
Offline Reinforcement Learning with Closed-Form Policy Improvement Operators. CoRR abs/2211.15956 (2022) - [i133]Weixi Feng, Xuehai He, Tsu-Jui Fu, Varun Jampani, Arjun R. Akula, Pradyumna Narayana, Sugato Basu, Xin Eric Wang, William Yang Wang:
Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis. CoRR abs/2212.05032 (2022) - [i132]Jifan Chen, Yuhao Zhang, Lan Liu, Rui Dong, Xinchi Chen, Patrick Ng, William Yang Wang, Zhiheng Huang:
Improving Cross-task Generalization of Unified Table-to-text Models with Compositional Task Configurations. CoRR abs/2212.08780 (2022) - [i131]Wenda Xu, Xian Qian, Mingxuan Wang, Lei Li, William Yang Wang:
SEScore2: Retrieval Augmented Pretraining for Text Generation Evaluation. CoRR abs/2212.09305 (2022) - [i130]Alex Mei, Sharon Levy, William Yang Wang:
Foveate, Attribute, and Rationalize: Towards Safe and Trustworthy AI. CoRR abs/2212.09667 (2022) - [i129]Kaiser Sun, Peng Qi, Yuhao Zhang, Lan Liu, William Yang Wang, Zhiheng Huang:
Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks. CoRR abs/2212.09912 (2022) - [i128]Yi-Lin Tuan, Alon Albalak, Wenda Xu, Michael Saxon, Connor Pryor, Lise Getoor, William Yang Wang:
CausalDialogue: Modeling Utterance-level Causality in Conversations. CoRR abs/2212.10515 (2022) - 2021
- [j4]Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang:
Vision-Language Navigation Policy Learning and Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4205-4216 (2021) - [c125]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Zero-shot Fact Verification by Claim Generation. ACL/IJCNLP (2) 2021: 476-483 - [c124]Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang:
Neural Stylistic Response Generation with Disentangled Latent Variables. ACL/IJCNLP (1) 2021: 4391-4401 - [c123]Sharon Levy, Michael Saxon, William Yang Wang:
Investigating Memorization of Conspiracy Theories in Text Generation. ACL/IJCNLP (Findings) 2021: 4718-4729 - [c122]Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin, William Yang Wang:
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing. EACL (System Demonstrations) 2021: 329-336 - [c121]Wanrong Zhu, Xin Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang:
Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation. EACL 2021: 1207-1221 - [c120]An Yan, Xin Wang, Tsu-Jui Fu, William Yang Wang:
L2C: Describing Visual Differences Needs Semantic Understanding of Individuals. EACL 2021: 2315-2320 - [c119]Yijun Xiao, William Yang Wang:
On Hallucination and Predictive Uncertainty in Conditional Language Generation. EACL 2021: 2734-2744 - [c118]Wenhan Xiong, Hong Wang, William Yang Wang:
Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering. EACL 2021: 2803-2815 - [c117]Sharon Levy, Kevin Mo, Wenhan Xiong, William Yang Wang:
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains. EMNLP (Demos) 2021: 259-266 - [c116]Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang:
Modeling Disclosive Transparency in NLP Application Descriptions. EMNLP (1) 2021: 2023-2037 - [c115]Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, Reema Moussa, Matt Beane, Ting-Hao Kenneth Huang, Bryan R. Routledge, William Yang Wang:
FinQA: A Dataset of Numerical Reasoning over Financial Data. EMNLP (1) 2021: 3697-3711 - [c114]Alexander Jones, William Yang Wang, Kyle Mahowald:
A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space. EMNLP (1) 2021: 5833-5847 - [c113]Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen:
Open Question Answering over Tables and Text. ICLR 2021 - [c112]Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz:
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. ICLR 2021 - [c111]Tsu-Jui Fu, William Yang Wang:
Semi-Supervised Policy Initialization for Playing Games with Language Hints. NAACL-HLT 2021: 3112-3116 - [c110]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Unsupervised Multi-hop Question Answering by Question Generation. NAACL-HLT 2021: 5866-5880 - [c109]Wenhu Chen, Xinyi Wang, William Yang Wang:
A Dataset for Answering Time-Sensitive Questions. NeurIPS Datasets and Benchmarks 2021 - [c108]Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Wang, William Yang Wang, Tamara L. Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu:
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. NeurIPS Datasets and Benchmarks 2021 - [c107]Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang:
Local Explanation of Dialogue Response Generation. NeurIPS 2021: 404-416 - [c106]Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang:
Counterfactual Maximum Likelihood Estimation for Training Deep Networks. NeurIPS 2021: 25072-25085 - [c105]Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu:
Meta Module Network for Compositional Visual Reasoning. WACV 2021: 655-664 - [i127]Sharon Levy, Michael Saxon, William Yang Wang:
The Truth is Out There: Investigating Conspiracy Theories in Text Generation. CoRR abs/2101.00379 (2021) - [i126]Michael Saxon, Sharon Levy, Xinyi Wang, Alon Albalak, William Yang Wang:
Dimensions of Transparency in NLP Applications. CoRR abs/2101.00433 (2021) - [i125]Tsu-Jui Fu, William Yang Wang, Daniel McDuff, Yale Song:
DOC2PPT: Automatic Presentation Slides Generation from Scientific Documents. CoRR abs/2101.11796 (2021) - [i124]An Yan, Xin Eric Wang, Tsu-Jui Fu, William Yang Wang:
L2C: Describing Visual Differences Needs Semantic Understanding of Individuals. CoRR abs/2102.01860 (2021) - [i123]Tony Sun, Kellie Webster, Apurva Shah, William Yang Wang, Melvin Johnson:
They, Them, Theirs: Rewriting with Gender-Neutral English. CoRR abs/2102.06788 (2021) - [i122]Yijun Xiao, William Yang Wang:
On Hallucination and Predictive Uncertainty in Conditional Language Generation. CoRR abs/2103.15025 (2021) - [i121]Wanrong Zhu, Yuankai Qi, Pradyumna Narayana, Kazoo Sone, Sugato Basu, Xin Eric Wang, Qi Wu, Miguel P. Eckstein, William Yang Wang:
Diagnosing Vision-and-Language Navigation: What Really Matters. CoRR abs/2103.16561 (2021) - [i120]Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
Language-based Video Editing via Multi-Modal Multi-Level Transformer. CoRR abs/2104.01122 (2021) - [i119]Nicole X. Han, William Yang Wang, Miguel P. Eckstein:
Gaze Perception in Humans and CNN-Based Model. CoRR abs/2104.08447 (2021) - [i118]Shravan Murlidaran, William Yang Wang, Miguel P. Eckstein:
Comparing Visual Reasoning in Humans and AI. CoRR abs/2104.14102 (2021) - [i117]Aditya Jonnalagadda, William Wang, Miguel P. Eckstein:
FoveaTer: Foveated Transformer for Image Classification. CoRR abs/2105.14173 (2021) - [i116]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Zero-shot Fact Verification by Claim Generation. CoRR abs/2105.14682 (2021) - [i115]Tsu-Jui Fu, Xin Eric Wang, William Yang Wang:
Language-Driven Image Style Transfer. CoRR abs/2106.00178 (2021) - [i114]Xinyi Wang, Wenhu Chen, Michael Saxon, William Yang Wang:
Counterfactual Maximum Likelihood Estimation for Training Deep Networks. CoRR abs/2106.03831 (2021) - [i113]Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu:
VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation. CoRR abs/2106.04632 (2021) - [i112]Wanrong Zhu, Xin Eric Wang, An Yan, Miguel P. Eckstein, William Yang Wang:
ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation. CoRR abs/2106.05970 (2021) - [i111]Yi-Lin Tuan, Connor Pryor, Wenhu Chen, Lise Getoor, William Yang Wang:
Local Explanation of Dialogue Response Generation. CoRR abs/2106.06528 (2021) - [i110]Wenhu Chen, Xinyi Wang, William Yang Wang:
A Dataset for Answering Time-Sensitive Questions. CoRR abs/2108.06314 (2021) - [i109]Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, Iana Borova, Dylan Langdon, Reema Moussa, Matt Beane, Ting-Hao Kenneth Huang, Bryan R. Routledge, William Yang Wang:
FinQA: A Dataset of Numerical Reasoning over Financial Data. CoRR abs/2109.00122 (2021) - [i108]Alon Albalak, Varun Embar, Yi-Lin Tuan, Lise Getoor, William Yang Wang:
D-REX: Dialogue Relation Extraction with Explanations. CoRR abs/2109.05126 (2021) - [i107]Alex Jones, William Yang Wang, Kyle Mahowald:
A Massively Multilingual Analysis of Cross-linguality in Shared Embedding Space. CoRR abs/2109.06324 (2021) - [i106]Wenda Xu, Michael Saxon, Misha Sra, William Yang Wang:
Self-Supervised Knowledge Assimilation for Expert-Layman Text Style Transfer. CoRR abs/2110.02950 (2021) - [i105]Sharon Levy, Kevin Mo, Wenhan Xiong, William Yang Wang:
Open-Domain Question-Answering for COVID-19 and Other Emergent Domains. CoRR abs/2110.06962 (2021) - [i104]Liangming Pan, Wenhu Chen, Min-Yen Kan, William Yang Wang:
ContraQA: Question Answering under Contradicting Contexts. CoRR abs/2110.07803 (2021) - [i103]Yujie Lu, Ping Nie, Ming Zhao, Ruobing Xie, William Yang Wang, Yi Ren:
MIC: Model-agnostic Integrated Cross-channel Recommenders. CoRR abs/2110.11570 (2021) - [i102]Jiachen Li, Shuo Cheng, Zhenyu Liao, Huayan Wang, William Yang Wang, Qinxun Bai:
Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction. CoRR abs/2110.12081 (2021) - [i101]Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin, William Yang Wang, Lijuan Wang, Zicheng Liu:
VIOLET : End-to-End Video-Language Transformers with Masked Visual-token Modeling. CoRR abs/2111.12681 (2021) - [i100]Wenqiao Zhang, Xin Eric Wang, Siliang Tang, Haizhou Shi, Haochen Shi, Jun Xiao, Yueting Zhuang, William Yang Wang:
Relational Graph Learning for Grounded Video Description Generation. CoRR abs/2112.00967 (2021) - [i99]Michael Saxon, Xinyi Wang, William Yang Wang:
Automatically Identifying Semantic Bias in Crowdsourced Natural Language Inference Datasets. CoRR abs/2112.09237 (2021) - 2020
- [j3]Sharon Levy, Wenhan Xiong, Elizabeth M. Belding, William Yang Wang:
SafeRoute: Learning to Navigate Streets Safely in an Urban Environment. ACM Trans. Intell. Syst. Technol. 11(6): 66:1-66:17 (2020) - [c104]Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang:
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. AAAI 2020: 8673-8680 - [c103]Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang:
Multi-Task Self-Supervised Learning for Disfluency Detection. AAAI 2020: 9193-9200 - [c102]Zhiyu Chen, Harini Eavani, Wenhu Chen, Yinyin Liu, William Yang Wang:
Few-Shot NLG with Pre-Trained Language Model. ACL 2020: 183-190 - [c101]Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Towards Understanding Gender Bias in Relation Extraction. ACL 2020: 2943-2953 - [c100]Chen Wu, Prince Zizhuang Wang, William Yang Wang:
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond. ACL 2020: 3449-3464 - [c99]Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang:
Logical Natural Language Generation from Open-Domain Tables. ACL 2020: 7929-7942 - [c98]Haoyu Wang, Vivek Kulkarni, William Yang Wang:
Dolores: Deep Contextualized Knowledge Graph Embeddings. AKBC 2020 - [c97]Yuankai Qi, Qi Wu, Peter Anderson, Xin Wang, William Yang Wang, Chunhua Shen, Anton van den Hengel:
REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments. CVPR 2020: 9979-9988 - [c96]Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang:
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation. CVPR 2020: 12120-12129 - [c95]Tsu-Jui Fu, Xin Eric Wang, Matthew F. Peterson, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampler. ECCV (6) 2020: 71-86 - [c94]Xin Eric Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi:
Environment-Agnostic Multitask Learning for Natural Language Grounded Navigation. ECCV (24) 2020: 413-430 - [c93]Jiannan Xiang, Xin Wang, William Yang Wang:
Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation. EMNLP (Findings) 2020: 699-707 - [c92]Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Yang Wang:
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. EMNLP (Findings) 2020: 1026-1036 - [c91]Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang:
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms. EMNLP (Findings) 2020: 2096-2111 - [c90]Qingfu Zhu, Wei-Nan Zhang, Ting Liu, William Yang Wang:
Counterfactual Off-Policy Training for Neural Dialogue Generation. EMNLP (1) 2020: 3438-3448 - [c89]Tsu-Jui Fu, Xin Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning. EMNLP (1) 2020: 4413-4422 - [c88]Sophie Groenwold, Lily Ou, Aesha Parekh, Samhita Honnavalli, Sharon Levy, Diba Mirza, William Yang Wang:
Investigating African-American Vernacular English in Transformer-Based Text Generation. EMNLP (1) 2020: 5877-5883 - [c87]Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang:
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation. EMNLP (1) 2020: 8635-8648 - [c86]Wanrong Zhu, Xin Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang:
Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations. EMNLP (1) 2020: 8806-8811 - [c85]Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang:
TabFact: A Large-scale Dataset for Table-based Fact Verification. ICLR 2020 - [c84]Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov:
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. ICLR 2020 - [c83]Ray Oshikawa, Jing Qian, William Yang Wang:
A Survey on Natural Language Processing for Fake News Detection. LREC 2020: 6086-6093 - [c82]Kai Nakamura, Sharon Levy, William Yang Wang:
Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection. LREC 2020: 6149-6157 - [c81]Wenqiao Zhang, Xin Eric Wang, Siliang Tang, Haizhou Shi, Haochen Shi, Jun Xiao, Yueting Zhuang, William Yang Wang:
Relational Graph Learning for Grounded Video Description Generation. ACM Multimedia 2020: 3807-3828 - [i98]Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang:
Generative Adversarial Zero-Shot Relational Learning for Knowledge Graphs. CoRR abs/2001.02332 (2020) - [i97]Xiyou Zhou, Zhiyu Chen, Xiaoyong Jin, William Yang Wang:
HULK: An Energy Efficiency Benchmark Platform for Responsible Natural Language Processing. CoRR abs/2002.05829 (2020) - [i96]Xin Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi:
Environment-agnostic Multitask Learning for Natural Language Grounded Navigation. CoRR abs/2003.00443 (2020) - [i95]Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, William Yang Wang:
HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data. CoRR abs/2004.07347 (2020) - [i94]Chen Wu, Prince Zizhuang Wang, William Yang Wang:
On the Encoder-Decoder Incompatibility in Variational Text Modeling and Beyond. CoRR abs/2004.09189 (2020) - [i93]Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang:
Logical Natural Language Generation from Open-Domain Tables. CoRR abs/2004.10404 (2020) - [i92]Sophie Groenwold, Samhita Honnavalli, Lily Ou, Aesha Parekh, Sharon Levy, Diba Mirza, William Yang Wang:
Evaluating the Role of Language Typology in Transformer-Based Multilingual Text Classification. CoRR abs/2004.13939 (2020) - [i91]Qingfu Zhu, Weinan Zhang, Ting Liu, William Yang Wang:
Counterfactual Off-Policy Training for Neural Response Generation. CoRR abs/2004.14507 (2020) - [i90]Zhiyu Chen, Wenhu Chen, Hanwen Zha, Xiyou Zhou, Yunkai Zhang, Sairam Sundaresan, William Yang Wang:
Logic2Text: High-Fidelity Natural Language Generation from Logical Forms. CoRR abs/2004.14579 (2020) - [i89]Yi-Lin Tuan, Wei Wei, William Yang Wang:
Unsupervised Injection of Knowledge into Dialogue Generation via Language Models. CoRR abs/2004.14614 (2020) - [i88]Wenhan Xiong, Hong Wang, William Yang Wang:
Progressively Pretrained Dense Corpus Index for Open-Domain Question Answering. CoRR abs/2005.00038 (2020) - [i87]Sharon Levy, William Yang Wang:
Cross-lingual Transfer Learning for COVID-19 Outbreak Alignment. CoRR abs/2006.03202 (2020) - [i86]Wanrong Zhu, Xin Wang, Tsu-Jui Fu, An Yan, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang:
Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation. CoRR abs/2007.00229 (2020) - [i85]Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
SSCR: Iterative Language-Based Image Editing via Self-Supervised Counterfactual Reasoning. CoRR abs/2009.09566 (2020) - [i84]Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz:
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. CoRR abs/2009.12756 (2020) - [i83]Jiannan Xiang, Xin Eric Wang, William Yang Wang:
Learning to Stop: A Simple yet Effective Approach to Urban Vision-Language Navigation. CoRR abs/2009.13112 (2020) - [i82]Wenhu Chen, Yu Su, Xifeng Yan, William Yang Wang:
KGPT: Knowledge-Grounded Pre-Training for Data-to-Text Generation. CoRR abs/2010.02307 (2020) - [i81]Sophie Groenwold, Lily Ou, Aesha Parekh, Samhita Honnavalli, Sharon Levy, Diba Mirza, William Yang Wang:
Investigating African-American Vernacular English in Transformer-Based Text Generation. CoRR abs/2010.02510 (2020) - [i80]Wanrong Zhu, Xin Eric Wang, Pradyumna Narayana, Kazoo Sone, Sugato Basu, William Yang Wang:
Towards Understanding Sample Variance in Visually Grounded Language Generation: Evaluations and Observations. CoRR abs/2010.03644 (2020) - [i79]Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen:
Open Question Answering over Tables and Text. CoRR abs/2010.10439 (2020) - [i78]Liangming Pan, Wenhu Chen, Wenhan Xiong, Min-Yen Kan, William Yang Wang:
Unsupervised Multi-hop Question Answering by Question Generation. CoRR abs/2010.12623 (2020)
2010 – 2019
- 2019
- [c80]Yijun Xiao, William Yang Wang:
Quantifying Uncertainties in Natural Language Processing Tasks. AAAI 2019: 7322-7329 - [c79]Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang:
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning. AAAI 2019: 8965-8972 - [c78]Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Mitigating Gender Bias in Natural Language Processing: Literature Review. ACL (1) 2019: 1630-1640 - [c77]Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Self-Supervised Learning for Contextualized Extractive Summarization. ACL (1) 2019: 2221-2227 - [c76]Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang:
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. ACL (1) 2019: 3696-3709 - [c75]Jiawei Wu, Xin Wang, William Yang Wang:
Self-Supervised Dialogue Learning. ACL (1) 2019: 3857-3867 - [c74]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. ACL (1) 2019: 4258-4264 - [c73]Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
TWEETQA: A Social Media Focused Question Answering Dataset. ACL (1) 2019: 5020-5031 - [c72]Hui Liu, Qingyu Yin, William Yang Wang:
Towards Explainable NLP: A Generative Explanation Framework for Text Classification. ACL (1) 2019: 5570-5581 - [c71]Pushkar Shukla, Carlos E. L. Elmadjian, Richika Sharan, Vivek Kulkarni, Matthew Turk, William Yang Wang:
What Should I Ask? Using Conversationally Informative Rewards for Goal-oriented Visual Dialog. ACL (1) 2019: 6442-6451 - [c70]Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang:
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. MRQA@EMNLP 2019: 48-52 - [c69]Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang:
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation. CVPR 2019: 6629-6638 - [c68]Prince Zizhuang Wang, William Yang Wang:
Neural Gaussian Copula for Variational Autoencoder. EMNLP/IJCNLP (1) 2019: 4332-4342 - [c67]Jiawei Wu, Wenhan Xiong, William Yang Wang:
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification. EMNLP/IJCNLP (1) 2019: 4353-4363 - [c66]Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth M. Belding, William Yang Wang:
A Benchmark Dataset for Learning to Intervene in Online Hate Speech. EMNLP/IJCNLP (1) 2019: 4754-4763 - [c65]Siyao Li, Deren Lei, Pengda Qin, William Yang Wang:
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization. EMNLP/IJCNLP (1) 2019: 6037-6043 - [c64]Xin Wang, Jiawei Wu, Junkun Chen, Lei Li, Yuan-Fang Wang, William Yang Wang:
VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research. ICCV 2019: 4580-4590 - [c63]William Yang Wang, Sameer Singh, Jiwei Li:
Deep Adversarial Learning for NLP. NAACL-HLT (Tutorial Abstracts) 2019: 1-5 - [c62]Prince Zizhuang Wang, William Yang Wang:
Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling. NAACL-HLT (1) 2019: 284-294 - [c61]Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. NAACL-HLT (1) 2019: 773-784 - [c60]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Sentence Embedding Alignment for Lifelong Relation Extraction. NAACL-HLT (1) 2019: 796-806 - [c59]Jiawei Wu, Xin Wang, William Yang Wang:
Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation. NAACL-HLT (1) 2019: 1173-1183 - [c58]Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang:
Learning to Decipher Hate Symbols. NAACL-HLT (1) 2019: 3006-3015 - [c57]Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang:
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection. NAACL-HLT (1) 2019: 3487-3497 - [i77]Xin Wang, Vihan Jain, Eugene Ie, William Yang Wang, Zornitsa Kozareva, Sujith Ravi:
Natural Language Grounded Multitask Navigation. ViGIL@NeurIPS 2019 - [i76]Jiannan Xiang, Xin Wang, William Yang Wang:
Not All Actions Are Equal: Learning to Stop in Language-Grounded Urban Navigation. ViGIL@NeurIPS 2019 - [i75]Wenhu Chen, Yu Su, Yilin Shen, Zhiyu Chen, Xifeng Yan, William Yang Wang:
How Large a Vocabulary Does Text Classification Need? A Variational Approach to Vocabulary Selection. CoRR abs/1902.10339 (2019) - [i74]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Sentence Embedding Alignment for Lifelong Relation Extraction. CoRR abs/1903.02588 (2019) - [i73]Wenhan Xiong, Jiawei Wu, Deren Lei, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Imposing Label-Relational Inductive Bias for Extremely Fine-Grained Entity Typing. CoRR abs/1903.02591 (2019) - [i72]Jiawei Wu, Xin Wang, William Yang Wang:
Extract and Edit: An Alternative to Back-Translation for Unsupervised Neural Machine Translation. CoRR abs/1904.02331 (2019) - [i71]Prince Zizhuang Wang, William Yang Wang:
Riemannian Normalizing Flow on Variational Wasserstein Autoencoder for Text Modeling. CoRR abs/1904.02399 (2019) - [i70]Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang:
Learning to Decipher Hate Symbols. CoRR abs/1904.02418 (2019) - [i69]Xin Wang, Jiawei Wu, Junkun Chen, Lei Li, Yuan-Fang Wang, William Yang Wang:
VATEX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research. CoRR abs/1904.03493 (2019) - [i68]Zhiyu Chen, Harini Eavani, Yinyin Liu, William Yang Wang:
Few-shot NLG with Pre-trained Language Model. CoRR abs/1904.09521 (2019) - [i67]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader. CoRR abs/1905.07098 (2019) - [i66]Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang:
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. CoRR abs/1905.12866 (2019) - [i65]Hong Wang, Xin Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Self-Supervised Learning for Contextualized Extractive Summarization. CoRR abs/1906.04466 (2019) - [i64]Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Mitigating Gender Bias in Natural Language Processing: Literature Review. CoRR abs/1906.08976 (2019) - [i63]Jiawei Wu, Xin Wang, William Yang Wang:
Self-Supervised Dialogue Learning. CoRR abs/1907.00448 (2019) - [i62]Wenhan Xiong, Jiawei Wu, Hong Wang, Vivek Kulkarni, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
TWEETQA: A Social Media Focused Question Answering Dataset. CoRR abs/1907.06292 (2019) - [i61]Pushkar Shukla, Carlos E. L. Elmadjian, Richika Sharan, Vivek Kulkarni, Matthew Turk, William Yang Wang:
What Should I Ask? Using Conversationally Informative Rewards for Goal-Oriented Visual Dialog. CoRR abs/1907.12021 (2019) - [i60]Hong Wang, Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Shiyu Chang, William Yang Wang:
Meta Reasoning over Knowledge Graphs. CoRR abs/1908.04877 (2019) - [i59]Shaolei Wang, Wanxiang Che, Qi Liu, Pengda Qin, Ting Liu, William Yang Wang:
Multi-Task Self-Supervised Learning for Disfluency Detection. CoRR abs/1908.05378 (2019) - [i58]Yijun Xiao, William Yang Wang:
Text Modeling with Syntax-Aware Variational Autoencoders. CoRR abs/1908.09964 (2019) - [i57]Siyao Li, Deren Lei, Pengda Qin, William Yang Wang:
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization. CoRR abs/1909.00141 (2019) - [i56]Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang:
TabFact: A Large-scale Dataset for Table-based Fact Verification. CoRR abs/1909.02164 (2019) - [i55]Prince Zizhuang Wang, William Yang Wang:
Neural Gaussian Copula for Variational Autoencoder. CoRR abs/1909.03569 (2019) - [i54]Jiawei Wu, Wenhan Xiong, William Yang Wang:
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification. CoRR abs/1909.04176 (2019) - [i53]Jing Qian, Anna Bethke, Yinyin Liu, Elizabeth M. Belding, William Yang Wang:
A Benchmark Dataset for Learning to Intervene in Online Hate Speech. CoRR abs/1909.04251 (2019) - [i52]Mengdi Zhu, Zheye Deng, Wenhan Xiong, Mo Yu, Ming Zhang, William Yang Wang:
Towards Open-Domain Named Entity Recognition via Neural Correction Models. CoRR abs/1909.06058 (2019) - [i51]Wenhan Xiong, Mo Yu, Xiaoxiao Guo, Hong Wang, Shiyu Chang, Murray Campbell, William Yang Wang:
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering. CoRR abs/1909.07597 (2019) - [i50]Hong Wang, Christfried Focke, Rob Sylvester, Nilesh Mishra, William Yang Wang:
Fine-tune Bert for DocRED with Two-step Process. CoRR abs/1909.11898 (2019) - [i49]Wenhu Chen, Zhe Gan, Linjie Li, Yu Cheng, William Yang Wang, Jingjing Liu:
Meta Module Network for Compositional Visual Reasoning. CoRR abs/1910.03230 (2019) - [i48]An Yan, Xin Wang, Jiangtao Feng, Lei Li, William Yang Wang:
Cross-Lingual Vision-Language Navigation. CoRR abs/1910.11301 (2019) - [i47]Tianyu Liu, Wei Wei, William Yang Wang:
Table-to-Text Natural Language Generation with Unseen Schemas. CoRR abs/1911.03601 (2019) - [i46]Andrew Gaut, Tony Sun, Shirlyn Tang, Yuxin Huang, Jing Qian, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang:
Towards Understanding Gender Bias in Relation Extraction. CoRR abs/1911.03642 (2019) - [i45]Kai Nakamura, Sharon Levy, William Yang Wang:
r/Fakeddit: A New Multimodal Benchmark Dataset for Fine-grained Fake News Detection. CoRR abs/1911.03854 (2019) - [i44]Tsu-Jui Fu, Xin Wang, Matthew F. Peterson, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang:
Counterfactual Vision-and-Language Navigation via Adversarial Path Sampling. CoRR abs/1911.07308 (2019) - [i43]Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang:
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation. CoRR abs/1911.07450 (2019) - [i42]Wenhan Xiong, Jingfei Du, William Yang Wang, Veselin Stoyanov:
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model. CoRR abs/1912.09637 (2019) - [i41]Yijun Xiao, William Yang Wang:
Disentangled Representation Learning with Wasserstein Total Correlation. CoRR abs/1912.12818 (2019) - 2018
- [c56]William Yang Wang, Jiwei Li, Xiaodong He:
Deep Reinforcement Learning for NLP. ACL (5) 2018: 19-21 - [c55]Pengda Qin, Weiran Xu, William Yang Wang:
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction. ACL (1) 2018: 496-505 - [c54]Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang:
Deep Reinforcement Learning for Chinese Zero Pronoun Resolution. ACL (1) 2018: 569-578 - [c53]Xin Wang, Wenhu Chen, Yuan-Fang Wang, William Yang Wang:
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling. ACL (1) 2018: 899-909 - [c52]Xianda Zhou, William Yang Wang:
MojiTalk: Generating Emotional Responses at Scale. ACL (1) 2018: 1128-1137 - [c51]Pengda Qin, Weiran Xu, William Yang Wang:
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. ACL (1) 2018: 2137-2147 - [c50]Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang:
Zero Pronoun Resolution with Attention-based Neural Network. COLING 2018: 13-23 - [c49]Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang:
Video Captioning via Hierarchical Reinforcement Learning. CVPR 2018: 4213-4222 - [c48]Xin Wang, Wenhan Xiong, Hongmin Wang, William Yang Wang:
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation. ECCV (16) 2018: 38-55 - [c47]Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang:
XL-NBT: A Cross-lingual Neural Belief Tracking Framework. EMNLP 2018: 414-424 - [c46]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
One-Shot Relational Learning for Knowledge Graphs. EMNLP 2018: 1980-1990 - [c45]Vivek Kulkarni, Junting Ye, Steven Skiena, William Yang Wang:
Multi-view Models for Political Ideology Detection of News Articles. EMNLP 2018: 3518-3527 - [c44]Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang:
Hierarchical CVAE for Fine-Grained Hate Speech Classification. EMNLP 2018: 3550-3559 - [c43]Mai ElSherief, Vivek Kulkarni, Dana Nguyen, William Yang Wang, Elizabeth M. Belding:
Hate Lingo: A Target-Based Linguistic Analysis of Hate Speech in Social Media. ICWSM 2018: 42-51 - [c42]Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang:
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. IJCAI 2018: 4503-4509 - [c41]Xiang Ren, Nanyun Peng, William Yang Wang:
Scalable Construction and Reasoning of Massive Knowledge Bases. NAACL-HLT (Tutorial Abstracts) 2018: 10-16 - [c40]Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang:
Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection. NAACL-HLT (2) 2018: 118-123 - [c39]Xin Wang, Yuan-Fang Wang, William Yang Wang:
Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning. NAACL-HLT (2) 2018: 795-801 - [c38]Jiawei Wu, Lei Li, William Yang Wang:
Reinforced Co-Training. NAACL-HLT 2018: 1252-1262 - [c37]Vivek Kulkarni, William Yang Wang:
Simple Models for Word Formation in Slang. NAACL-HLT 2018: 1424-1434 - [c36]Liwei Cai, William Yang Wang:
KBGAN: Adversarial Learning for Knowledge Graph Embeddings. NAACL-HLT 2018: 1470-1480 - [c35]Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang:
Variational Knowledge Graph Reasoning. NAACL-HLT 2018: 1823-1832 - [c34]Xiang Ren, Craig A. Knoblock, William Yang Wang, Yu Su:
First Workshop on Knowledge Base Construction, Mining and Reasoning. WSDM 2018: 793-794 - [i40]Shuqing Bian, Zhenpeng Deng, Fei Li, Will Monroe, Peng Shi, Zijun Sun, Wei Wu, Sikuang Wang, William Yang Wang, Arianna Yuan, Tianwei Zhang, Jiwei Li:
IcoRating: A Deep-Learning System for Scam ICO Identification. CoRR abs/1803.03670 (2018) - [i39]Wenhu Chen, Wenhan Xiong, Xifeng Yan, William Yang Wang:
Variational Knowledge Graph Reasoning. CoRR abs/1803.06581 (2018) - [i38]Xin Wang, Wenhan Xiong, Hongmin Wang, William Yang Wang:
Look Before You Leap: Bridging Model-Free and Model-Based Reinforcement Learning for Planned-Ahead Vision-and-Language Navigation. CoRR abs/1803.07729 (2018) - [i37]Vivek Kulkarni, William Yang Wang:
Simple Models for Word Formation in English Slang. CoRR abs/1804.02596 (2018) - [i36]Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang:
Leveraging Intra-User and Inter-User Representation Learning for Automated Hate Speech Detection. CoRR abs/1804.03124 (2018) - [i35]Mai ElSherief, Vivek Kulkarni, Dana Nguyen, William Yang Wang, Elizabeth M. Belding:
Hate Lingo: A Target-based Linguistic Analysis of Hate Speech in Social Media. CoRR abs/1804.04257 (2018) - [i34]Xin Wang, Yuan-Fang Wang, William Yang Wang:
Watch, Listen, and Describe: Globally and Locally Aligned Cross-Modal Attentions for Video Captioning. CoRR abs/1804.05448 (2018) - [i33]Jiawei Wu, Lei Li, William Yang Wang:
Reinforced Co-Training. CoRR abs/1804.06035 (2018) - [i32]Xin Wang, Wenhu Chen, Yuan-Fang Wang, William Yang Wang:
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling. CoRR abs/1804.09160 (2018) - [i31]Pengda Qin, Weiran Xu, William Yang Wang:
Robust Distant Supervision Relation Extraction via Deep Reinforcement Learning. CoRR abs/1805.09927 (2018) - [i30]Pengda Qin, Weiran Xu, William Yang Wang:
DSGAN: Generative Adversarial Training for Distant Supervision Relation Extraction. CoRR abs/1805.09929 (2018) - [i29]Qingyu Yin, Yu Zhang, Weinan Zhang, Ting Liu, William Yang Wang:
Deep Reinforcement Learning for Chinese Zero pronoun Resolution. CoRR abs/1806.03711 (2018) - [i28]Wenhan Xiong, Xiaoxiao Guo, Mo Yu, Shiyu Chang, Bowen Zhou, William Yang Wang:
Scheduled Policy Optimization for Natural Language Communication with Intelligent Agents. CoRR abs/1806.06187 (2018) - [i27]Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang:
XL-NBT: A Cross-lingual Neural Belief Tracking Framework. CoRR abs/1808.06244 (2018) - [i26]Wenhan Xiong, Mo Yu, Shiyu Chang, Xiaoxiao Guo, William Yang Wang:
One-Shot Relational Learning for Knowledge Graphs. CoRR abs/1808.09040 (2018) - [i25]Jing Qian, Mai ElSherief, Elizabeth M. Belding, William Yang Wang:
Hierarchical CVAE for Fine-Grained Hate Speech Classification. CoRR abs/1809.00088 (2018) - [i24]Vivek Kulkarni, Junting Ye, Steven Skiena, William Yang Wang:
Multi-view Models for Political Ideology Detection of News Articles. CoRR abs/1809.03485 (2018) - [i23]Mahnaz Koupaee, William Yang Wang:
WikiHow: A Large Scale Text Summarization Dataset. CoRR abs/1810.09305 (2018) - [i22]Mahnaz Koupaee, William Yang Wang:
Analyzing and Interpreting Convolutional Neural Networks in NLP. CoRR abs/1810.09312 (2018) - [i21]Yijun Xiao, Tiancheng Zhao, William Yang Wang:
Dirichlet Variational Autoencoder for Text Modeling. CoRR abs/1811.00135 (2018) - [i20]Haoyu Wang, Vivek Kulkarni, William Yang Wang:
DOLORES: Deep Contextualized Knowledge Graph Embeddings. CoRR abs/1811.00147 (2018) - [i19]Hui Liu, Qingyu Yin, William Yang Wang:
Towards Explainable NLP: A Generative Explanation Framework for Text Classification. CoRR abs/1811.00196 (2018) - [i18]Hao Yu, Vivek Kulkarni, William Yang Wang:
MOHONE: Modeling Higher Order Network Effects in KnowledgeGraphs via Network Infused Embeddings. CoRR abs/1811.00198 (2018) - [i17]Deren Lei, Zichen Sun, Yijun Xiao, William Yang Wang:
Implicit Regularization of Stochastic Gradient Descent in Natural Language Processing: Observations and Implications. CoRR abs/1811.00659 (2018) - [i16]Ray Oshikawa, Jing Qian, William Yang Wang:
A Survey on Natural Language Processing for Fake News Detection. CoRR abs/1811.00770 (2018) - [i15]Sharon Levy, Wenhan Xiong, Elizabeth M. Belding, William Yang Wang:
SafeRoute: Learning to Navigate Streets Safely in an Urban Environment. CoRR abs/1811.01147 (2018) - [i14]Xin Wang, Jiawei Wu, Da Zhang, Yu Su, William Yang Wang:
Learning to Compose Topic-Aware Mixture of Experts for Zero-Shot Video Captioning. CoRR abs/1811.02765 (2018) - [i13]Yijun Xiao, William Yang Wang:
Quantifying Uncertainties in Natural Language Processing Tasks. CoRR abs/1811.07253 (2018) - [i12]Wenhu Chen, Yilin Shen, Xin Wang, William Yang Wang:
Enhancing the Robustness of Prior Network in Out-of-Distribution Detection. CoRR abs/1811.07308 (2018) - [i11]Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang:
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation. CoRR abs/1811.10092 (2018) - 2017
- [c33]William Yang Wang:
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. ACL (2) 2017: 422-426 - [c32]Wenhan Xiong, Thien Hoang, William Yang Wang:
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning. EMNLP 2017: 564-573 - [c31]Yi Yao Huang, William Yang Wang:
Deep Residual Learning for Weakly-Supervised Relation Extraction. EMNLP 2017: 1803-1807 - [c30]Ke Ni, William Yang Wang:
Learning to Explain Non-Standard English Words and Phrases. IJCNLP(2) 2017: 413-417 - [i10]William Yang Wang:
"Liar, Liar Pants on Fire": A New Benchmark Dataset for Fake News Detection. CoRR abs/1705.00648 (2017) - [i9]Wenhan Xiong, Thien Hoang, William Yang Wang:
DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning. CoRR abs/1707.06690 (2017) - [i8]Yi Yao Huang, William Yang Wang:
Deep Residual Learning for Weakly-Supervised Relation Extraction. CoRR abs/1707.08866 (2017) - [i7]Ke Ni, William Yang Wang:
Learning to Explain Non-Standard English Words and Phrases. CoRR abs/1709.09254 (2017) - [i6]Liwei Cai, William Yang Wang:
KBGAN: Adversarial Learning for Knowledge Graph Embeddings. CoRR abs/1711.04071 (2017) - [i5]Xianda Zhou, William Yang Wang:
MojiTalk: Generating Emotional Responses at Scale. CoRR abs/1711.04090 (2017) - [i4]Xin Wang, Wenhu Chen, Jiawei Wu, Yuan-Fang Wang, William Yang Wang:
Video Captioning via Hierarchical Reinforcement Learning. CoRR abs/1711.11135 (2017) - [i3]Vivek Kulkarni, William Yang Wang:
TFW, DamnGina, Juvie, and Hotsie-Totsie: On the Linguistic and Social Aspects of Internet Slang. CoRR abs/1712.08291 (2017) - 2016
- [c29]William Yang Wang, William W. Cohen:
Learning First-Order Logic Embeddings via Matrix Factorization. IJCAI 2016: 2132-2138 - [c28]William Yang Wang, William W. Cohen:
Scalable Statistical Relational Learning for NLP. HLT-NAACL Tutorials 2016: 14-16 - [c27]William Yang Wang, Yashar Mehdad, Dragomir R. Radev, Amanda Stent:
A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization. HLT-NAACL 2016: 58-68 - 2015
- [j2]William Yang Wang, Kathryn Mazaitis, Ni Lao, William W. Cohen:
Efficient inference and learning in a large knowledge base - Reasoning with extracted information using a locally groundable first-order probabilistic logic. Mach. Learn. 100(1): 101-126 (2015) - [c26]William Yang Wang, William W. Cohen:
Joint Information Extraction and Reasoning: A Scalable Statistical Relational Learning Approach. ACL (1) 2015: 355-364 - [c25]Yun-Nung Chen, William Yang Wang, Anatole Gershman, Alexander I. Rudnicky:
Matrix Factorization with Knowledge Graph Propagation for Unsupervised Spoken Language Understanding. ACL (1) 2015: 483-494 - [c24]William Yang Wang, Diyi Yang:
That's So Annoying!!!: A Lexical and Frame-Semantic Embedding Based Data Augmentation Approach to Automatic Categorization of Annoying Behaviors using #petpeeve Tweets. EMNLP 2015: 2557-2563 - [c23]William Yang Wang, Kathryn Mazaitis, William W. Cohen:
A Soft Version of Predicate Invention Based on Structured Sparsity. IJCAI 2015: 3918-3924 - [c22]Yun-Nung Chen, William Yang Wang, Alexander I. Rudnicky:
Learning semantic hierarchy with distributed representations for unsupervised spoken language understanding. INTERSPEECH 2015: 1869-1873 - [c21]William Yang Wang, Miaomiao Wen:
I Can Has Cheezburger? A Nonparanormal Approach to Combining Textual and Visual Information for Predicting and Generating Popular Meme Descriptions. HLT-NAACL 2015: 355-365 - [c20]Yun-Nung Chen, William Yang Wang, Alexander I. Rudnicky:
Jointly Modeling Inter-Slot Relations by Random Walk on Knowledge Graphs for Unsupervised Spoken Language Understanding. HLT-NAACL 2015: 619-629 - 2014
- [c19]William Yang Wang, Kathryn Mazaitis, William W. Cohen:
ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference. StarAI@AAAI 2014 - [c18]William Yang Wang, Zhenhao Hua:
A Semiparametric Gaussian Copula Regression Model for Predicting Financial Risks from Earnings Calls. ACL (1) 2014: 1155-1165 - [c17]William Yang Wang, Kathryn Mazaitis, William W. Cohen:
Structure Learning via Parameter Learning. CIKM 2014: 1199-1208 - [c16]William Yang Wang, Lingpeng Kong, Kathryn Mazaitis, William W. Cohen:
Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach. EMNLP 2014: 1152-1158 - [c15]Yun-Nung Chen, William Yang Wang, Alexander I. Rudnicky:
Leveraging frame semantics and distributional semantics for unsupervised semantic slot induction in spoken dialogue systems. SLT 2014: 584-589 - [i2]William Yang Wang, Kathryn Mazaitis, Ni Lao, Tom M. Mitchell, William W. Cohen:
Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic. CoRR abs/1404.3301 (2014) - 2013
- [j1]William Yang Wang, Fadi Biadsy, Andrew Rosenberg, Julia Hirschberg:
Automatic detection of speaker state: Lexical, prosodic, and phonetic approaches to level-of-interest and intoxication classification. Comput. Speech Lang. 27(1): 168-189 (2013) - [c14]Yun-Nung Chen, William Yang Wang, Alexander I. Rudnicky:
Unsupervised induction and filling of semantic slots for spoken dialogue systems using frame-semantic parsing. ASRU 2013: 120-125 - [c13]William Yang Wang, Kathryn Mazaitis, William W. Cohen:
Programming with personalized pagerank: a locally groundable first-order probabilistic logic. CIKM 2013: 2129-2138 - [c12]Di Wang, Chenyan Xiong, William Yang Wang:
Automatic Domain Partitioning for Multi-Domain Learning. EMNLP 2013: 869-873 - [c11]William Yang Wang, Edward Lin, John Kominek:
This Text Has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics. EMNLP 2013: 1325-1336 - [c10]Yun-Nung Chen, William Yang Wang, Alexander I. Rudnicky:
An empirical investigation of sparse log-linear models for improved dialogue act classification. ICASSP 2013: 8317-8321 - [i1]William Yang Wang, Kathryn Mazaitis, William W. Cohen:
Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic. CoRR abs/1305.2254 (2013) - 2012
- [c9]William Yang Wang, Elijah Mayfield, Suresh Naidu, Jeremiah Dittmar:
Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model. ACL (1) 2012: 740-749 - [c8]William Yang Wang, Samantha L. Finkelstein, Amy Ogan, Alan W. Black, Justine Cassell:
"Love ya, jerkface": Using Sparse Log-Linear Models to Build Positive and Impolite Relationships with Teens. SIGDIAL Conference 2012: 20-29 - [c7]William Yang Wang, Dan Bohus, Ece Kamar, Eric Horvitz:
Crowdsourcing the acquisition of natural language corpora: Methods and observations. SLT 2012: 73-78 - 2011
- [c6]William Yang Wang, Kallirroi Georgila:
Automatic detection of unnatural word-level segments in unit-selection speech synthesis. ASRU 2011: 289-294 - [c5]William Yang Wang, Ron Artstein, Anton Leuski, David R. Traum:
Improving Spoken Dialogue Understanding Using Phonetic Mixture Models. FLAIRS 2011 - [c4]William Yang Wang, Kapil Thadani, Kathleen R. McKeown:
Identifying Event Descriptions using Co-training with Online News Summaries. IJCNLP 2011: 282-291 - [c3]Fadi Biadsy, William Yang Wang, Andrew Rosenberg, Julia Hirschberg:
Intoxication Detection Using Phonetic, Phonotactic and Prosodic Cues. INTERSPEECH 2011: 3209-3212 - [c2]William Yang Wang, Julia Hirschberg:
Detecting Levels of Interest from Spoken Dialog with Multistream Prediction Feedback and Similarity Based Hierarchical Fusion Learning. SIGDIAL Conference 2011: 152-161 - 2010
- [c1]William Yang Wang, Kathleen R. McKeown:
"Got You!": Automatic Vandalism Detection in Wikipedia with Web-based Shallow Syntactic-Semantic Modeling. COLING 2010: 1146-1154
Coauthor Index
[c231] [c225] [c211] [c204] [c203] [i265] [i260] [i251] [i247] [i246] [i229] [c179] [c176] [c157] [i197] [i196] [i194] [c145] [i162] [c125] [c115] [c113] [c110] [c109] [c107] [c106] [c105] [i116] [i114] [i111] [i110] [i109] [i104] [c104] [c102] [c99] [c92] [c91] [c87] [c85] [i98] [i95] [i93] [i90] [i82] [i79] [i78] [c76] [c57] [i75] [i66] [i56] [i49] [c53] [c49] [c47] [c35] [i39] [i32] [i27] [i12] [i4]
Zhiyu Chen 0002
aka: Zhiyu Zoey Chen
aka: Zhiyu Zoey Chen
Kathy McKeown
aka: Kathleen R. McKeown
aka: Kathleen R. McKeown
[c237] [c230] [i274] [j8] [j7] [c226] [c225] [c224] [c220] [c219] [c216] [c211] [c208] [i267] [i265] [i264] [i263] [i261] [i243] [i242] [i230] [i226] [i225] [i217] [i216] [i215] [i214] [c195] [c179] [c178] [c174] [c173] [c157] [i199] [i198] [i196] [i195] [i194] [i192] [i183] [i173] [i172] [i167] [c125] [c110] [i116] [i104] [i78]
Linda R. Petzold
aka: Linda Ruth Petzold
aka: Linda Ruth Petzold
Xin Wang 0061
aka: Xin Eric Wang
aka: Xin Eric Wang
[c232] [i271] [c218] [i248] [c184] [c183] [c171] [c166] [c164] [c153] [c152] [i205] [i202] [i201] [i200] [i189] [c141] [c140] [c137] [c128] [c127] [i163] [i157] [i153] [i149] [i141] [i133] [j4] [c121] [c120] [c108] [i124] [i121] [i120] [i115] [i113] [i112] [i100] [c104] [c97] [c96] [c95] [c94] [c93] [c89] [c86] [c81] [i98] [i96] [i86] [i85] [i83] [i80] [c79] [c77] [c75] [c69] [c64] [c59] [i77] [i76] [i72] [i69] [i65] [i63] [i48] [i44] [i43] [c53] [c49] [c48] [c47] [c39] [i38] [i34] [i32] [i27] [i14] [i12] [i11] [i4]
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