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Kaiwei Chang
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2020 – today
- 2024
[j17]Everett Fall, Kai-Wei Chang, Liang-Gee Chen:
Tree-managed network ensembles for video prediction. Mach. Vis. Appl. 35(4): 90 (2024)- [j16]Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh:
Red Teaming Language Model Detectors with Language Models. Trans. Assoc. Comput. Linguistics 12: 174-189 (2024) - [j15]Kai-Wei Chang
, Haibin Wu, Yu-Kai Wang, Yuan-Kuei Wu, Hua Shen, Wei-Cheng Tseng, Iu-thing Kang, Shang-wen Li, Hung-Yi Lee:
SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3730-3744 (2024) - [c233]Di Wu, Da Yin, Kai-Wei Chang:
KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation. ACL (Findings) 2024: 1959-1981 - [c232]Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng:
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data. ACL (Findings) 2024: 9215-9235 - [c231]Haibin Wu, Ho-Lam Chung, Yi-Cheng Lin, Yuan-Kuei Wu, Xuanjun Chen, Yu-Chi Pai, Hsiu-Hsuan Wang, Kai-Wei Chang, Alexander H. Liu, Hung-yi Lee:
Codec-SUPERB: An In-Depth Analysis of Sound Codec Models. ACL (Findings) 2024: 10330-10348 - [c230]Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan:
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. ACL (1) 2024: 12302-12319 - [c229]Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin:
Agent Lumos: Unified and Modular Training for Open-Source Language Agents. ACL (1) 2024: 12380-12403 - [c228]Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Prem Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji:
TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction. ACL (Findings) 2024: 12804-12825 - [c227]Jooyoung Lee, Fan Yang, Thanh Tran, Qian Hu, Emre Barut, Kai-Wei Chang:
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought. LREC/COLING 2024: 2835-2843 - [c226]Masoud Monajatipoor, Zi-Yi Dou, Aichi Chien, Nanyun Peng, Kai-Wei Chang:
Medical Vision-Language Pre-Training for Brain Abnormalities. LREC/COLING 2024: 11159-11164 - [c225]Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang:
On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation. LREC/COLING 2024: 12370-12384 - [c224]Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover:
VideoCon: Robust Video-Language Alignment via Contrast Captions. CVPR 2024: 13927-13937 - [c223]Oscar Chew, Hsuan-Tien Lin, Kai-Wei Chang, Kuan-Hao Huang:
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis. EACL (Findings) 2024: 1013-1025 - [c222]Amita Kamath, Cheng-Yu Hsieh, Kai-Wei Chang, Ranjay Krishna:
The Hard Positive Truth About Vision-Language Compositionality. ECCV (14) 2024: 37-54 - [c221]Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Yu Qiao, Peng Gao, Hongsheng Li:
MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? ECCV (8) 2024: 169-186 - [c220]Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta:
FLIRT: Feedback Loop In-context Red Teaming. EMNLP 2024: 703-718 - [c219]Silin Meng, Yiwei Wang, Cheng-Fu Yang, Nanyun Peng, Kai-Wei Chang:
LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning. EMNLP (Findings) 2024: 1087-1102 - [c218]Ashima Suvarna, Xiao Liu, Tanmay Parekh, Kai-Wei Chang, Nanyun Peng:
QUDSELECT: Selective Decoding for Questions Under Discussion Parsing. EMNLP 2024: 1288-1299 - [c217]Shujin Wu, Yi Fung, Sha Li, Yixin Wan, Kai-Wei Chang, Heng Ji:
MACAROON: Training Vision-Language Models To Be Your Engaged Partners. EMNLP (Findings) 2024: 7715-7731 - [c216]Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan:
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models. EMNLP 2024: 8089-8100 - [c215]Di Wu, Xiaoxian Shen, Kai-Wei Chang:
MetaKP: On-Demand Keyphrase Generation. EMNLP (Findings) 2024: 8420-8437 - [c214]Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang:
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention. EMNLP 2024: 9082-9100 - [c213]Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang:
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation. EMNLP 2024: 9390-9406 - [c212]Xueqing Wu, Zongyu Lin, Songyan Zhao, Te-Lin Wu, Pan Lu, Nanyun Peng, Kai-Wei Chang:
VDebugger: Harnessing Execution Feedback for Debugging Visual Programs. EMNLP (Findings) 2024: 9845-9860 - [c211]Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, Nanyun Peng:
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness. EMNLP 2024: 12936-12965 - [c210]Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris:
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification. EMNLP (Findings) 2024: 13329-13341 - [c209]Bingxuan Li, Yiwei Wang, Tao Meng, Kai-Wei Chang, Nanyun Peng:
Control Large Language Models via Divide and Conquer. EMNLP 2024: 15240-15256 - [c208]Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng:
Re-ReST: Reflection-Reinforced Self-Training for Language Agents. EMNLP 2024: 15394-15411 - [c207]Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, Pan Lu, Zhen-Hua Ling, Kai-Wei Chang, Nanyun Peng:
Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue. EMNLP 2024: 16801-16819 - [c206]Chien-Yu Huang, Ke-Han Lu, Shih-Heng Wang, Chi-Yuan Hsiao, Chun-Yi Kuan, Haibin Wu, Siddhant Arora, Kai-Wei Chang, Jiatong Shi, Yifan Peng, Roshan S. Sharma, Shinji Watanabe, Bhiksha Ramakrishnan, Shady Shehata, Hung-Yi Lee:
Dynamic-Superb: Towards a Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark For Speech. ICASSP 2024: 12136-12140 - [c205]Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao:
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. ICLR 2024 - [c204]Haoxuan You, Mandy Guo, Zhecan Wang, Kai-Wei Chang, Jason M. Baldridge, Jiahui Yu:
CoBIT: A Contrastive Bi-directional Image-Text Generation Model. ICLR 2024 - [c203]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 - [c202]Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng:
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models. ICML 2024 - [c201]Fan Yin, Jayanth Srinivasa, Kai-Wei Chang:
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension. ICML 2024 - [c200]Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng:
On Prompt-Driven Safeguarding for Large Language Models. ICML 2024 - [c199]Junzhang Liu, Zhecan Wang, Hammad A. Ayyubi, Haoxuan You, Chris Thomas, Rui Sun, Shih-Fu Chang, Kai-Wei Chang:
Detecting Multimodal Situations with Insufficient Context and Abstaining from Baseless Predictions. ACM Multimedia 2024: 8402-8411 - [c198]Ansel Blume, Khanh Duy Nguyen, Zhenhailong Wang, Yangyi Chen, Michal Shlapentokh-Rothman, Xiaomeng Jin, Jeonghwan Kim, Zhen Zhu, Jiateng Liu, Kuan-Hao Huang, Mankeerat Sidhu, Xuanming Zhang, Vivian Liu, Raunak Sinha, Te-Lin Wu, Abhay Zala, Elias Stengel-Eskin, Da Yin, Yao Xiao, Utkarsh Mall, Zhou Yu, Kai-Wei Chang, Camille Cobb, Karrie Karahalios, Lydia B. Chilton, Mohit Bansal, Nanyun Peng, Carl Vondrick, Derek Hoiem, Heng Ji:
MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System. ACM Multimedia 2024: 11252-11254 - [c197]Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta:
Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. NAACL-HLT (Findings) 2024: 1739-1756 - [c196]Mingyu Derek Ma, Jiun-Yu Kao, Arpit Gupta, Yu-Hsiang Lin, Wenbo Zhao, Tagyoung Chung, Wei Wang, Kai-Wei Chang, Nanyun Peng:
Mitigating Bias for Question Answering Models by Tracking Bias Influence. NAACL-HLT 2024: 4592-4610 - [c195]Xiao Liu, Yansong Feng, Kai-Wei Chang:
CASA: Causality-driven Argument Sufficiency Assessment. NAACL-HLT 2024: 5282-5302 - [c194]Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng:
Contextual Label Projection for Cross-Lingual Structured Prediction. NAACL-HLT 2024: 5738-5757 - [c193]Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang:
Event Detection from Social Media for Epidemic Prediction. NAACL-HLT 2024: 5758-5783 - [c192]Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta:
The steerability of large language models toward data-driven personas. NAACL-HLT 2024: 7290-7305 - [e3]Kai-Wei Chang, Annie Lee, Nazneen Rajani:
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, NAACL 2024, Mexico City, Mexico, June 16-21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-116-2 [contents] - [i250]Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, Pan Lu, Zhen-Hua Ling, Kai-Wei Chang, Nanyun Peng:
Model Editing Can Hurt General Abilities of Large Language Models. CoRR abs/2401.04700 (2024) - [i249]Xiao Liu, Yansong Feng, Kai-Wei Chang:
CASA: Causality-driven Argument Sufficiency Assessment. CoRR abs/2401.05249 (2024) - [i248]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) - [i247]Yiwei Wang, Muhao Chen, Nanyun Peng, Kai-Wei Chang:
DeepEdit: Knowledge Editing as Decoding with Constraints. CoRR abs/2401.10471 (2024) - [i246]Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng:
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models. CoRR abs/2401.13311 (2024) - [i245]Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng:
Prompt-Driven LLM Safeguarding via Directed Representation Optimization. CoRR abs/2401.18018 (2024) - [i244]Yixin Wan, Kai-Wei Chang:
The Male CEO and the Female Assistant: Probing Gender Biases in Text-To-Image Models Through Paired Stereotype Test. CoRR abs/2402.11089 (2024) - [i243]Haibin Wu, Huang-Cheng Chou, Kai-Wei Chang, Lucas Goncalves, Jiawei Du, Jyh-Shing Roger Jang, Chi-Chun Lee, Hung-Yi Lee:
EMO-SUPERB: An In-depth Look at Speech Emotion Recognition. CoRR abs/2402.13018 (2024) - [i242]Haibin Wu, Ho-Lam Chung, Yi-Cheng Lin, Yuan-Kuei Wu, Xuanjun Chen, Yu-Chi Pai, Hsiu-Hsuan Wang, Kai-Wei Chang, Alexander H. Liu, Hung-yi Lee:
Codec-SUPERB: An In-Depth Analysis of Sound Codec Models. CoRR abs/2402.13071 (2024) - [i241]Haibin Wu, Xuanjun Chen, Yi-Cheng Lin, Kai-Wei Chang, Ho-Lam Chung, Alexander H. Liu, Hung-yi Lee:
Towards audio language modeling - an overview. CoRR abs/2402.13236 (2024) - [i240]Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang:
On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation. CoRR abs/2402.14052 (2024) - [i239]Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng:
Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data. CoRR abs/2402.17644 (2024) - [i238]Fan Yin, Jayanth Srinivasa, Kai-Wei Chang:
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension. CoRR abs/2402.18048 (2024) - [i237]Xueqing Wu, Rui Zheng, Jingzhen Sha, Te-Lin Wu, Hanyu Zhou, Mohan Tang, Kai-Wei Chang, Nanyun Peng, Haoran Huang:
DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation. CoRR abs/2403.02528 (2024) - [i236]Renrui Zhang, Dongzhi Jiang, Yichi Zhang, Haokun Lin, Ziyu Guo, Pengshuo Qiu, Aojun Zhou, Pan Lu, Kai-Wei Chang, Peng Gao, Hongsheng Li:
MathVerse: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? CoRR abs/2403.14624 (2024) - [i235]Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover:
Comparing Bad Apples to Good Oranges: Aligning Large Language Models via Joint Preference Optimization. CoRR abs/2404.00530 (2024) - [i234]Yixin Wan, Arjun Subramonian, Anaelia Ovalle, Zongyu Lin, Ashima Suvarna, Christina Chance, Hritik Bansal, Rebecca Pattichis, Kai-Wei Chang:
Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation. CoRR abs/2404.01030 (2024) - [i233]Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang:
Event Detection from Social Media for Epidemic Prediction. CoRR abs/2404.01679 (2024) - [i232]Jooyoung Lee, Fan Yang, Thanh Tran, Qian Hu, Emre Barut, Kai-Wei Chang, Chengwei Su:
Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought. CoRR abs/2404.03414 (2024) - [i231]Hritik Bansal, Po-Nien Kung, P. Jeffrey Brantingham, Kai-Wei Chang, Nanyun Peng:
GenEARL: A Training-Free Generative Framework for Multimodal Event Argument Role Labeling. CoRR abs/2404.04763 (2024) - [i230]Masoud Monajatipoor, Jiaxin Yang, Joel Stremmel, Melika Emami, Fazlolah Mohaghegh, Mozhdeh Rouhsedaghat, Kai-Wei Chang:
LLMs in Biomedicine: A study on clinical Named Entity Recognition. CoRR abs/2404.07376 (2024) - [i229]Yixin Wan, Kai-Wei Chang:
White Men Lead, Black Women Help: Uncovering Gender, Racial, and Intersectional Bias in Language Agency. CoRR abs/2404.10508 (2024) - [i228]Masoud Monajatipoor, Zi-Yi Dou, Aichi Chien, Nanyun Peng, Kai-Wei Chang:
Medical Vision-Language Pre-Training for Brain Abnormalities. CoRR abs/2404.17779 (2024) - [i227]Hritik Bansal, Yonatan Bitton, Michal Yarom, Idan Szpektor, Aditya Grover, Kai-Wei Chang:
TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation. CoRR abs/2405.04682 (2024) - [i226]Kareem Ahmed, Stefano Teso, Paolo Morettin, Luca Di Liello, Pierfrancesco Ardino, Jacopo Gobbi, Yitao Liang, Eric Wang, Kai-Wei Chang, Andrea Passerini, Guy Van den Broeck:
Semantic Loss Functions for Neuro-Symbolic Structured Prediction. CoRR abs/2405.07387 (2024) - [i225]Junzhang Liu, Zhecan Wang, Hammad A. Ayyubi, Haoxuan You, Christopher Thomas, Rui Sun, Shih-Fu Chang, Kai-Wei Chang:
Detecting Multimodal Situations with Insufficient Context and Abstaining from Baseless Predictions. CoRR abs/2405.11145 (2024) - [i224]Wenbo Hu, Zi-Yi Dou, Liunian Harold Li, Amita Kamath, Nanyun Peng, Kai-Wei Chang:
Matryoshka Query Transformer for Large Vision-Language Models. CoRR abs/2405.19315 (2024) - [i223]Yihe Deng, Pan Lu, Fan Yin, Ziniu Hu, Sheng Shen, James Zou, Kai-Wei Chang, Wei Wang:
Enhancing Large Vision Language Models with Self-Training on Image Comprehension. CoRR abs/2405.19716 (2024) - [i222]Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng:
Reflection-Reinforced Self-Training for Language Agents. CoRR abs/2406.01495 (2024) - [i221]Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover:
VideoPhy: Evaluating Physical Commonsense for Video Generation. CoRR abs/2406.03520 (2024) - [i220]Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen:
MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. CoRR abs/2406.09411 (2024) - [i219]Haike Xu, Zongyu Lin, Yizhou Sun, Kai-Wei Chang, Piotr Indyk:
SparseCL: Sparse Contrastive Learning for Contradiction Retrieval. CoRR abs/2406.10746 (2024) - [i218]Xueqing Wu, Zongyu Lin, Songyan Zhao, Te-Lin Wu, Pan Lu, Nanyun Peng, Kai-Wei Chang:
VDebugger: Harnessing Execution Feedback for Debugging Visual Programs. CoRR abs/2406.13444 (2024) - [i217]Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang:
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation. CoRR abs/2406.13692 (2024) - [i216]Shujin Wu, Yi R. Fung, Sha Li, Yixin Wan, Kai-Wei Chang, Heng Ji:
MACAROON: Training Vision-Language Models To Be Your Engaged Partners. CoRR abs/2406.14137 (2024) - [i215]Di Wu, Xiaoxian Shen, Kai-Wei Chang:
MetaKP: On-Demand Keyphrase Generation. CoRR abs/2407.00191 (2024) - [i214]Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang:
The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention. CoRR abs/2407.00377 (2024) - [i213]Cheng-Yi Li, Kao-Jung Chang, Cheng-Fu Yang, Hsin-Yu Wu, Wenting Chen, Hritik Bansal, Ling Chen, Yi-Ping Yang, Yu-Chun Chen, Shih-Pin Chen, Jiing-Feng Lirng, Kai-Wei Chang, Shih-Hwa Chiou:
Towards a Holistic Framework for Multimodal Large Language Models in Three-dimensional Brain CT Report Generation. CoRR abs/2407.02235 (2024) - [i212]Silin Meng, Yiwei Wang, Cheng-Fu Yang, Nanyun Peng, Kai-Wei Chang:
LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning. CoRR abs/2407.02511 (2024) - [i211]Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan:
Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. CoRR abs/2407.21358 (2024) - [i210]Ashima Suvarna, Xiao Liu, Tanmay Parekh, Kai-Wei Chang, Nanyun Peng:
QUDSELECT: Selective Decoding for Questions Under Discussion Parsing. CoRR abs/2408.01046 (2024) - [i209]Kai-Wei Chang, Haibin Wu, Yu-Kai Wang, Yuan-Kuei Wu, Hua Shen, Wei-Cheng Tseng, Iu-thing Kang, Shang-Wen Li, Hung-yi Lee:
SpeechPrompt: Prompting Speech Language Models for Speech Processing Tasks. CoRR abs/2408.13040 (2024) - [i208]Cheng Wang, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang:
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding. CoRR abs/2409.03363 (2024) - [i207]Zhecan Wang, Junzhang Liu, Chia-Wei Tang, Hani Alomari, Anushka Sivakumar, Rui Sun, Wenhao Li, Md. Atabuzzaman, Hammad A. Ayyubi, Haoxuan You, Alvi Md. Ishmam, Kai-Wei Chang, Shih-Fu Chang, Chris Thomas:
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images. CoRR abs/2409.12953 (2024) - [i206]Haibin Wu, Xuanjun Chen, Yi-Cheng Lin, Kai-Wei Chang, Jiawei Du, Ke-Han Lu, Alexander H. Liu, Ho-Lam Chung, Yuan-Kuei Wu, Dongchao Yang, Songxiang Liu, Yi-Chiao Wu, Xu Tan, James R. Glass, Shinji Watanabe, Hung-yi Lee:
Codec-SUPERB @ SLT 2024: A lightweight benchmark for neural audio codec models. CoRR abs/2409.14085 (2024) - [i205]Bingxuan Li, Yiwei Wang, Tao Meng, Kai-Wei Chang, Nanyun Peng:
Control Large Language Models via Divide and Conquer. CoRR abs/2410.04628 (2024) - [i204]Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan:
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models. CoRR abs/2410.05269 (2024) - [i203]Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris:
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification. CoRR abs/2410.05559 (2024) - [i202]Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou, Mohsen Fayyaz, Pan Lu, Kai-Wei Chang, Nanyun Peng:
MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models. CoRR abs/2410.08182 (2024) - [i201]Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu:
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory. CoRR abs/2410.10813 (2024) - [i200]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
Controllable Generation via Locally Constrained Resampling. CoRR abs/2410.13111 (2024) - [i199]Yuankai Li, Jia-Chen Gu, Di Wu, Kai-Wei Chang, Nanyun Peng:
BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression. CoRR abs/2410.15277 (2024) - [i198]Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, Nanyun Peng:
SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness. CoRR abs/2410.18393 (2024) - [i197]Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Zhen Xiong, Nanyun Peng, Kai-Wei Chang:
Vulnerability of LLMs to Vertically Aligned Text Manipulations. CoRR abs/2410.20016 (2024) - [i196]Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Naifan Cheung, Nanyun Peng, Kai-Wei Chang:
Think Carefully and Check Again! Meta-Generation Unlocking LLMs for Low-Resource Cross-Lingual Summarization. CoRR abs/2410.20021 (2024) - [i195]Zhiqi Bu, Xiaomeng Jin, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong:
Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate. CoRR abs/2410.22086 (2024) - [i194]Yining Hong, Beide Liu, Maxine Wu, Yuanhao Zhai, Kai-Wei Chang, Lingjie Li, Kevin Lin, Chung-Ching Lin, Jianfeng Wang, Zhengyuan Yang, Yingnian Wu, Lijuan Wang:
SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation. CoRR abs/2410.23277 (2024) - [i193]Chien-yu Huang, Wei-Chih Chen, Shu-Wen Yang, Andy T. Liu, Chen-An Li, Yu-Xiang Lin, Wei-Cheng Tseng, Anuj Diwan, Yi-Jen Shih, Jiatong Shi, William Chen, Xuanjun Chen, Chi-Yuan Hsiao, Puyuan Peng, Shih-Heng Wang, Chun-Yi Kuan, Ke-Han Lu, Kai-Wei Chang, Chih-Kai Yang, Fabian Ritter Gutierrez, Ming To Chuang, Kuan-Po Huang, Siddhant Arora, You-Kuan Lin, Eunjung Yeo, Kalvin Chang, Chung-Ming Chien, Kwanghee Choi, Cheng-Hsiu Hsieh, Yi-Cheng Lin, Chee-En Yu, I-Hsiang Chiu, Heitor R. Guimarães, Jionghao Han, Tzu-Quan Lin, Tzu-Yuan Lin, Homu Chang, Ting-Wu Chang, Chun Wei Chen, Shou-Jen Chen, Yu-Hua Chen, Hsi-Chun Cheng, Kunal Dhawan, Jia-Lin Fang, Shi-Xin Fang, Kuan-Yu Fang Chiang, Chi An Fu, Hsien-Fu Hsiao, Ching Yu Hsu, Shao-Syuan Huang, Lee Chen Wei, Hsi-Che Lin, Hsuan-Hao Lin, Hsuan-Ting Lin, Jian-Ren Lin, Ting-Chun Liu, Li-Chun Lu, Tsung-Min Pai, Ankita Pasad, Shih-Yun Shan Kuan, Suwon Shon, Yuxun Tang, Yun-Shao Tsai, Jui-Chiang Wei, Tzu-Chieh Wei, Chengxi Wu, Dien-Ruei Wu, Chao-Han Huck Yang, Chieh-Chi Yang, Jia Qi Yip, Shao-Xiang Yuan, Vahid Noroozi, Zhehuai Chen, Haibin Wu, Karen Livescu, David Harwath, Shinji Watanabe, Hung-yi Lee:
Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks. CoRR abs/2411.05361 (2024) - [i192]Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang:
DRS: Deep Question Reformulation With Structured Output. CoRR abs/2411.17993 (2024) - [i191]Shuyang Hao, Bryan Hooi, Jun Liu, Kai-Wei Chang, Zi Huang, Yujun Cai:
Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models. CoRR abs/2411.18000 (2024) - [i190]Cheng-Fu Yang, Da Yin, Wenbo Hu, Nanyun Peng, Bolei Zhou, Kai-Wei Chang:
Verbalized Representation Learning for Interpretable Few-Shot Generalization. CoRR abs/2411.18651 (2024) - 2023
- [c191]Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang:
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English. ACL (2) 2023: 352-365 - [c190]