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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
- 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) - [c216]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 - [c215]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 - [c214]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 - [c213]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 - [c212]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 - [c211]Antonis Antoniades, Yiyi Yu, Joseph Canzano, William Yang Wang, Spencer L. Smith:
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data. ICLR 2024 - [c210]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 - [c209]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 - [c208]Edwin Zhang, Yujie Lu, Shinda Huang, William Yang Wang, Amy Zhang:
Language Control Diffusion: Efficiently Scaling through Space, Time, and Tasks. ICLR 2024 - [c207]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 - [c206]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 - [c205]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 - [c204]Iain Weissburg, Mehir Arora, Xinyi Wang, Liangming Pan, William Yang Wang:
Position: AI/ML Influencers Have a Place in the Academic Process. ICML 2024 - [c203]Danqing Wang
, Antonis Antoniades, Kha-Dinh Luong, Edwin Zhang, Mert Kosan, Jiachen Li, Ambuj Singh, William Yang Wang, Lei Li:
Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement Learning. KDD 2024: 2991-3000 - [c202]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 - [c201]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 - [i250]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) - [i249]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) - [i248]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) - [i247]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) - [i246]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) - [i245]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) - [i244]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) - [i243]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) - [i242]Jiachen Li, Weixi Feng, Wenhu Chen, William Yang Wang:
Reward Guided Latent Consistency Distillation. CoRR abs/2403.11027 (2024) - [i241]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) - [i240]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) - [i239]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) - [i238]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) - [i237]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) - [i236]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) - [i235]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) - [i234]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) - [i233]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) - [i232]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) - [i231]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) - [i230]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) - [i229]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) - [i228]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) - [i227]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) - [i226]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) - [i225]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) - [i224]Kyle Wong, Alfonso Amayuelas, Liangming Pan, William Yang Wang:
DistiLRR: Transferring Code Repair for Low-Resource Programming Languages. CoRR abs/2406.14867 (2024) - [i223]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) - [i222]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) - [i221]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) - [i220]Luke Yoffe, Alfonso Amayuelas, William Yang Wang:
DebUnc: Mitigating Hallucinations in Large Language Model Agent Communication with Uncertainty Estimations. CoRR abs/2407.06426 (2024) - [i219]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) - [i218]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) - [i217]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) - [i216]Michael Saxon, Ari Holtzman, Peter West, William Yang Wang, Naomi Saphra:
Benchmarks as Microscopes: A Call for Model Metrology. CoRR abs/2407.16711 (2024) - [i215]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) - [i214]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) - 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,