Kai-Wei Chang

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 420

Top Venues

Publications

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)
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 (2024)
Yiwei Wang, Muhao Chen, Nanyun Peng, Kai-Wei Chang
DeepEdit: Knowledge Editing as Decoding with Constraints. CoRR (2024)
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 (2024)
Masoud Monajatipoor, Zi-Yi Dou, Aichi Chien, Nanyun Peng, Kai-Wei Chang
Medical Vision-Language Pre-Training for Brain Abnormalities. LREC/COLING (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
Everett Fall, Kai-Wei Chang, Liang-Gee Chen
Tree-managed network ensembles for video prediction. Mach. Vis. Appl. 35 (4) (2024)
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 (2024)
Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang
On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation. CoRR (2024)
Haike Xu, Zongyu Lin, Yizhou Sun, Kai-Wei Chang, Piotr Indyk
SparseCL: Sparse Contrastive Learning for Contradiction Retrieval. CoRR (2024)
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)
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 (2024)
Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang
Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation. CoRR (2024)
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 (2024)
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)
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 (2024)
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
Contextual Label Projection for Cross-Lingual Structured Prediction. NAACL-HLT (2024)
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 (2024)
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)
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)
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, Chao Zhang, 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 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 (2024)
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 (2024)
Yixin Wan, Kai-Wei Chang
White Men Lead, Black Women Help: Uncovering Gender, Racial, and Intersectional Bias in Language Agency. CoRR (2024)
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 (2024)
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 (2024)
Xiao Liu, Yansong Feng, Kai-Wei Chang
CASA: Causality-driven Argument Sufficiency Assessment. NAACL-HLT (2024)
Di Wu, Xiaoxian Shen, Kai-Wei Chang
MetaKP: On-Demand Keyphrase Generation. CoRR (2024)
Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang
On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation. LREC/COLING (2024)
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)
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 (2024)
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 (2024)
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 (2024)
Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models. CoRR (2024)
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 (2024)
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 (2024)
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)
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 (2024)
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)
Wenbo Hu, Zi-Yi Dou, Liunian Harold Li, Amita Kamath, Nanyun Peng, Kai-Wei Chang
Matryoshka Query Transformer for Large Vision-Language Models. CoRR (2024)
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 (2024)
Fan Yin, Jayanth Srinivasa, Kai-Wei Chang
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension. CoRR (2024)
Masoud Monajatipoor, Zi-Yi Dou, Aichi Chien, Nanyun Peng, Kai-Wei Chang
Medical Vision-Language Pre-Training for Brain Abnormalities. CoRR (2024)
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 (2024)
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)
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)
Xiao Liu, Yansong Feng, Kai-Wei Chang
CASA: Causality-driven Argument Sufficiency Assessment. CoRR (2024)
Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng
Reflection-Reinforced Self-Training for Language Agents. CoRR (2024)
Di Wu, Da Yin, Kai-Wei Chang
KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation. ACL (Findings) (2024)
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 (2024)
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 (2024)
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)
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)
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)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
Anaelia Ovalle, Arjun Subramonian, Vagrant Gautam, Gilbert Gee, Kai-Wei Chang
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness. AIES (2023)
Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Jwala Dhamala, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta
JAB: Joint Adversarial Prompting and Belief Augmentation. CoRR (2023)
Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi
Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. CoRR (2023)
Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs. CoRR (2023)
Liunian Harold Li, Zi-Yi Dou, Nanyun Peng, Kai-Wei Chang
DesCo: Learning Object Recognition with Rich Language Descriptions. CoRR (2023)
Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
Are you talking to ['xem'] or ['x', 'em']? On Tokenization and Addressing Misgendering in LLMs with Pronoun Tokenization Parity. CoRR (2023)
Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun, David A. Ross, Cordelia Schmid, Alireza Fathi
AVIS: Autonomous Visual Information Seeking with Large Language Models. CoRR (2023)
Da Yin, Feng Gao, Govind Thattai, Michael Johnston, Kai-Wei Chang
GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods. CVPR (2023)
Ming-Hao Hsu, Kai-Wei Chang, Shang-Wen Li, Hung-yi Lee
An Exploration of In-Context Learning for Speech Language Model. CoRR (2023)
Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen
Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer. IJCNLP (2) (2023)
Haoxuan You, Rui Sun, Zhecan Wang, Long Chen, Gengyu Wang, Hammad A. Ayyubi, Kai-Wei Chang, Shih-Fu Chang
IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models. EMNLP (Findings) (2023)
Rui Sun, Zhecan Wang, Haoxuan You, Noel Codella, Kai-Wei Chang, Shih-Fu Chang
UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding. ACL (Findings) (2023)
Anaelia Ovalle, Palash Goyal, Jwala Dhamala, Zachary Jaggers, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
"I'm fully who I am": Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation. CoRR (2023)
Kuan-Po Huang, Tzu-hsun Feng, Yu-Kuan Fu, Tsu-Yuan Hsu, Po-Chieh Yen, Wei-Cheng Tseng, Kai-Wei Chang, Hung-Yi Lee
Ensemble Knowledge Distillation of Self-Supervised Speech Models. ICASSP (2023)
Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang
Efficient Shapley Values Estimation by Amortization for Text Classification. CoRR (2023)
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
Semantic Strengthening of Neuro-Symbolic Learning. CoRR (2023)
Hritik Bansal, Nishad Singhi, Yu Yang, Fan Yin, Aditya Grover, Kai-Wei Chang
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. CoRR (2023)
Wasi Uddin Ahmad, Md Golam Rahman Tushar, Saikat Chakraborty, Kai-Wei Chang
AVATAR: A Parallel Corpus for Java-Python Program Translation. ACL (Findings) (2023)
I-Hung Hsu, Kuan-Hao Huang, Shuning Zhang, Wenxin Cheng, Prem Natarajan, Kai-Wei Chang, Nanyun Peng
TAGPRIME: A Unified Framework for Relational Structure Extraction. ACL (1) (2023)
Cheng-Fu Yang, Yen-Chun Chen, Jianwei Yang, Xiyang Dai, Lu Yuan, Yu-Chiang Frank Wang, Kai-Wei Chang
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following. EMNLP (2023)
Zixuan Ling, Xiaoqing Zheng, Jianhan Xu, Jinshu Lin, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang
Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations. ACL (Findings) (2023)
Yu-Hsiang Wang, Huang-Yu Chen, Kai-Wei Chang, Winston H. Hsu, Hung-yi Lee
MiniSUPERB: Lightweight Benchmark for Self-supervised Speech Models. CoRR (2023)
Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao
MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models. CoRR (2023)
Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang
A Survey of Deep Learning for Mathematical Reasoning. ACL (1) (2023)
Amita Kamath, Jack Hessel, Kai-Wei Chang
What's "up" with vision-language models? Investigating their struggle with spatial reasoning. EMNLP (2023)
Anaelia Ovalle, Arjun Subramonian, Vagrant Gautam, Gilbert Gee, Kai-Wei Chang
Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness. CoRR (2023)
Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari
Semantic Probabilistic Layers for Neuro-Symbolic Learning. NeSy (2023)
Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang
Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. CoRR (2023)
Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. NeurIPS (2023)
Junyi Li, Ninareh Mehrabi, Charith Peris, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta
On the steerability of large language models toward data-driven personas. CoRR (2023)
Alexander Kwako, Yixin Wan, Jieyu Zhao, Mark Hansen, Kai-Wei Chang, Li Cai
Does BERT Exacerbate Gender or L1 Biases in Automated English Speaking Assessment? BEA@ACL (2023)
Yixin Wan, George Pu, Jiao Sun, Aparna Garimella, Kai-Wei Chang, Nanyun Peng
"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters. CoRR (2023)
Kuan-Po Huang, Tzu-hsun Feng, Yu-Kuan Fu, Tsu-Yuan Hsu, Po-Chieh Yen, Wei-Cheng Tseng, Kai-Wei Chang, Hung-yi Lee
Ensemble knowledge distillation of self-supervised speech models. CoRR (2023)
Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang
Efficient Shapley Values Estimation by Amortization for Text Classification. ACL (1) (2023)
Amita Kamath, Jack Hessel, Kai-Wei Chang
What's "up" with vision-language models? Investigating their struggle with spatial reasoning. CoRR (2023)
Kai-Wei Chang, Ming-Hsin Chen, Yun-Ping Lin, Jing Neng Hsu, Paul Kuo-Ming Huang, Chien-Yu Huang, Shang-Wen Li, Hung-Yi Lee
Prompting and Adapter Tuning For Self-Supervised Encoder-Decoder Speech Model. ASRU (2023)
Liunian Harold Li, Zi-Yi Dou, Nanyun Peng, Kai-Wei Chang
DesCo: Learning Object Recognition with Rich Language Descriptions. NeurIPS (2023)
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles. ACL (1) (2023)
Md. Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang
Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies. EACL (2023)

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Publication Activity (10 Years)

Top Topics

Top Venues

Kai-Wei Chang