Kai-Wei Chang

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 373

Top Venues

Publications

Yiwei Wang, Muhao Chen, Nanyun Peng, Kai-Wei Chang
DeepEdit: Knowledge Editing as Decoding with Constraints. CoRR (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)
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)
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)
Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng
ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models. 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)
Xiao Liu, Yansong Feng, Kai-Wei Chang
CASA: Causality-driven Argument Sufficiency Assessment. 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)
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)
Masoud Monajatipoor, Liunian Harold Li, Mozhdeh Rouhsedaghat, Lin Yang, Kai-Wei Chang
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models. ACL (2) (2023)
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints. CoRR (2023)
Haoxuan You, Mandy Guo, Zhecan Wang, Kai-Wei Chang, Jason Baldridge, Jiahui Yu
CoBIT: A Contrastive Bi-directional Image-Text Generation Model. CoRR (2023)
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
Contextual Label Projection for Cross-Lingual Structure Extraction. 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. CoRR (2023)
Masoud Monajatipoor, Liunian Harold Li, Mozhdeh Rouhsedaghat, Lin F. Yang, Kai-Wei Chang
MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models. CoRR (2023)
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. 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. ACL (1) (2023)
Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi
Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. CVPR (2023)
Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover
VideoCon: Robust Video-Language Alignment via Contrast Captions. CoRR (2023)
Yu-Hsiang Wang, Huang-Yu Chen, Kai-Wei Chang, Winston H. Hsu, Hung-Yi Lee
Minisuperb: Lightweight Benchmark for Self-Supervised Speech Models. ASRU (2023)
Anaelia Ovalle, Mehrab Beikzadeh, Parshan Teimouri, Kai-Wei Chang, Majid Sarrafzadeh
ChatGPT for Us: Preserving Data Privacy in ChatGPT via Dialogue Text Ambiguation to Expand Mental Health Care Delivery. CoRR (2023)
Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, Kai-Wei Chang
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems. EMNLP (Findings) (2023)
Yixin Wan, Yuan Zhou, Xiulian Peng, Kai-Wei Chang, Yan Lu
ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression. CoRR (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. FAccT (2023)
Rahul Gupta, Lisa Bauer, Kai-Wei Chang, Jwala Dhamala, Aram Galstyan, Palash Goyal, Qian Hu, Avni Khatri, Rohit Parimi, Charith Peris, Apurv Verma, Richard S. Zemel, Prem Natarajan
Incorporating Fairness in Large Scale NLU Systems. WSDM (2023)
Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English. ACL (2) (2023)
Chun-Yi Kuan, Chen-An Li, Tsu-Yuan Hsu, Tse-Yang Lin, Ho-Lam Chung, Kai-Wei Chang, Shuo-Yiin Chang, Hung-yi Lee
Towards General-Purpose Text-Instruction-Guided Voice Conversion. CoRR (2023)
Oscar Chew, Kuan-Hao Huang, Kai-Wei Chang, Hsuan-Tien Lin
Understanding and Mitigating Spurious Correlations in Text Classification. CoRR (2023)
Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks. EMNLP (2023)
Hritik Bansal, Fan Yin, Nishad Singhi, Aditya Grover, Yu Yang, Kai-Wei Chang
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. ICCV (2023)
Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation. ACL (Findings) (2023)
Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh
Red Teaming Language Model Detectors with Language Models. CoRR (2023)
Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji
A Reevaluation of Event Extraction: Past, Present, and Future Challenges. CoRR (2023)
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints. NeurIPS (2023)
Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng
Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks. CoRR (2023)
Cheng-Fu Yang, Haoyang Xu, Te-Lin Wu, Xiaofeng Gao, Kai-Wei Chang, Feng Gao
Planning as In-Painting: A Diffusion-Based Embodied Task Planning Framework for Environments under Uncertainty. CoRR (2023)
Chun-Yi Kuan, Chen-An Li, Tsu-Yuan Hsu, Tse-Yang Lin, Ho-Lam Chung, Kai-Wei Chang, Shuo-Yiin Chang, Hung-Yi Lee
Towards General-Purpose Text-Instruction-Guided Voice Conversion. ASRU (2023)
Nikil Roashan Selvam, Sunipa Dev, Daniel Khashabi, Tushar Khot, Kai-Wei Chang
The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks. ACL (2) (2023)
Amita Kamath, Jack Hessel, Kai-Wei Chang
Text encoders are performance bottlenecks in contrastive vision-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. CoRR (2023)
Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models. CoRR (2023)
Kai-Wei Chang, Yu-Kai Wang, Hua Shen, Iu-thing Kang, Wei-Cheng Tseng, Shang-Wen Li, Hung-yi Lee
SpeechPrompt v2: Prompt Tuning for Speech Classification Tasks. CoRR (2023)
Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation. CoRR (2023)
Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen
Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer. CoRR (2023)
Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, Kai-Wei Chang
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems. CoRR (2023)
Amita Kamath, Jack Hessel, Kai-Wei Chang
Text encoders bottleneck compositionality in contrastive vision-language models. EMNLP (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. 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. CoRR (2023)
Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck
On the Paradox of Learning to Reason from Data. IJCAI (2023)
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. CoRR (2023)
Wenpeng Yin, Muhao Chen, Ben Zhou, Qiang Ning, Kai-Wei Chang, Dan Roth
Indirectly Supervised Natural Language Processing. ACL (tutorial) (2023)
Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond. EMNLP (Findings) (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. CoRR (2023)
Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang
Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond. CoRR (2023)
Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models. EMNLP (2023)
Haibin Wu, Kai-Wei Chang, Yuan-Kuei Wu, Hung-yi Lee
SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts. CoRR (2023)
Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck
Semantic Strengthening of Neuro-Symbolic Learning. AISTATS (2023)
Christina Chance, Da Yin, Dakuo Wang, Kai-Wei Chang
Will the Prince Get True Love's Kiss? On the Model Sensitivity to Gender Perturbation over Fairytale Texts. CoRR (2023)
Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages. EACL (2023)
Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan
ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation. CoRR (2023)
Di Wu, Da Yin, Kai-Wei Chang
KPEval: Towards Fine-grained Semantic-based Evaluation of Keyphrase Extraction and Generation Systems. CoRR (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. EMNLP (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. CoRR (2023)
Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta
Resolving Ambiguities in Text-to-Image Generative Models. ACL (1) (2023)

Kai-Wei Chang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Kai-Wei Chang