Kai-Wei Chang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
266
Venues
31
Active years
2008–2026
Best venue rank
A*
Where they publish
- A*ACL73 papers
- A*EMNLP67 papers
- ANAACL24 papers
- A*ICLR14 papers
- A*ICML11 papers
- A*AAAI8 papers
- AEACL7 papers
- BCoNLL7 papers
- A*CVPR6 papers
- BCOLING4 papers
- A*ICCV4 papers
- AInterspeech4 papers
- BIJCNLP4 papers
- A*KDD4 papers
- MulticonferenceICASSP3 papers
- CASRU3 papers
- A*IJCAI3 papers
- A*ICDM3 papers
- CAIES2 papers
- A*ECCV2 papers
- A*SIGIR2 papers
- BLREC2 papers
- A*CHI1 paper
- NationalCOCOON1 paper
- AAISTATS1 paper
- CNeSy1 paper
- AWSDM1 paper
- AMICCAI1 paper
- AUAI1 paper
- A*ICDE1 paper
- A*ICRA1 paper
Papers
266 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Gold-Medal-Level Olympiad Geometry Solving with Efficient Heuristic Auxiliary Constructions. | Boyan Duan, Xiao Liang, Shuai Lu, Yaoxiang Wang, Yelong Shen, Kai-Wei Chang, Ying Nian Wu, Mao Yang, Weizhu Chen, Yeyun Gong |
| 2026 | ACL | LiveCLKTBench: Towards Reliable Evaluation of Cross-Lingual Knowledge Transfer in Multilingual LLMs. | Pei-Fu Guo, Yun-Da Tsai, Chun-Chia Hsu, Kai-Xin Chen, Ya-An Tsai, Kai-Wei Chang, Nanyun Peng, Mi-Yen Yeh, Shou-De Lin |
| 2026 | ACL | Beyond Facts- Benchmarking Distributional Reading Comprehension in Large Language Models. | Pei-Fu Guo, Ya-An Tsai, Chun-Chia Hsu, Kai-Xin Chen, Yun-Da Tsai, Kai-Wei Chang, Nanyun Peng, Mi-Yen Yeh, Shou-De Lin |
| 2026 | ACL | BRIEF-Pro: Universal Context Compression with Short-to-Long Synthesis for Fast and Accurate Multi-Hop Reasoning. | Jia-Chen Gu, Junyi Zhang, Di Wu, Yuankai Li, Kai-Wei Chang, Nanyun Peng |
| 2026 | ACL | MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Knowledge Poisoning Attacks. | Hyeonjeong Ha, Qiusi Zhan, Jeonghwan Kim, Dimitrios Bralios, Saikrishna Sanniboina, Nanyun Peng, Kai-Wei Chang, Daniel Kang, Heng Ji |
| 2026 | ACL | On the Fallacy of Global Token Perplexity in Spoken Language Model Evaluation. | Chan-Jan Hsu, Liang-Hsuan Tseng, Yi-Cheng Lin, Yen-Chun Kuo, Ju-Chieh Chou, Kai-Wei Chang, Hung-yi Lee, Carlos Busso |
| 2026 | ACL | Dynamic Generation of Multi LLM Agents Communication Topologies with Graph Diffusion Models. | Eric Hanchen Jiang, Levina Li, Frank Wan, Xiao Liang, Sophia Yin, Yuchen Wu, Xinfeng Li, Yizhou Sun, Wei Wang, Kai-Wei Chang, Ying Nian Wu |
| 2026 | ACL | Mitigating Over-Refusal in Aligned Large Language Models via Inference-Time Activation Energy. | Eric Hanchen Jiang, Weixuan Ou, Run Liu, Shengyuan Pang, Guancheng Wan, Ranjie Duan, Wei Dong, Kai-Wei Chang, Xiaofeng Wang, Ying Nian Wu, Xinfeng Li |
| 2026 | ACL | Training LLMs for Divide-and-Conquer Reasoning Elevates Test-Time Scalability. | Xiao Liang, Zhong-Zhi Li, Zhenghao Lin, Eric Hanchen Jiang, Hengyuan Zhang, Yelong Shen, Kai-Wei Chang, Ying Nian Wu, Yeyun Gong, Weizhu Chen |
| 2026 | ACL | ARES: Adaptive Red-Teaming and End-to-End Repair of Policy-Reward System. | Jiacheng Liang, Yao Ma, Tharindu Kumarage, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Aram Galstyan, Charith Peris |
| 2026 | ACL | Full-Duplex-Bench-v2: A Multi-Turn Evaluation Framework for Duplex Dialogue Systems with an Automated Examiner. | Guan-Ting Lin, Shih-Yun Shan Kuan, Jiatong Shi, Kai-Wei Chang, Siddhant Arora, Shinji Watanabe, Hung-Yi Lee |
| 2026 | ACL | Knowledge Control for Responsible Generative AI: Bridging Academia, Industry, and Society. | Zheyuan Liu, Yixin Wan, Kai-Wei Chang, Meng Jiang, Jieyu Zhao, Nouha Dziri, Yuning Mao, Jia-Chen Gu, Jindong Gu |
| 2026 | ACL | From Narrow Unlearning to Emergent Misalignment in LLMs. | Erum Mushtaq, Anil Ramakrishna, Satyapriya Krishna, Sattvik Sahai, Prasoon Goyal, Kai-Wei Chang, Tao Zhang, Rahul Gupta |
| 2026 | ACL | AutoSUIT Bench - Automated Security UnIt Test Benchmark for LLM Coding. | Samuel Osebe, Fan Yang, Junyi Li, Yue Gu, Yongxin Wang, Satyapriya Krishna, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Weitong Ruan |
| 2026 | ACL | InsideOut: Measuring and Mitigating Insider-Outsider Bias in Interview Script Generation. | Yixin Wan, Xingrun Chen, Kai-Wei Chang |
| 2026 | ACL | VisRet: Visualization Improves Knowledge-Intensive Text-to-Image Retrieval. | Di Wu, Yixin Wan, Kai-Wei Chang |
| 2026 | ACL | SWAN: Semantic Watermarking with Abstract Meaning Representation. | Ziping Ye, Gourab Dey, Christos Christodoulopoulos, Charith Peris, Anil Ramakrishna, Weitong Ruan, Aram Galstyan, Kai-Wei Chang, Rahul Gupta, Ninareh Mehrabi |
| 2026 | CHI | Balancing Efficiency and Empathy: Healthcare Providers' Perspectives on AI-Supported Workflows for Serious Illness Conversations in the Emergency Department. | Menglin Zhao, Zhuorui Yong, Ruijian Hannah Guan, Kai-Wei Chang, Adrian Haimovich, Kei Ouchi, Timothy W. Bickmore, Zhan Zhang, Bingsheng Yao, Dakuo Wang, Smit Desai |
| 2026 | EACL | BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation. | Tsung-Min Pai, Jui-I Wang, Li-Chun Lu, Shao-Hua Sun, Hung-yi Lee, Kai-Wei Chang |
| 2026 | EACL | BLUR: A Bi-Level Optimization Approach for LLM Unlearning. | Hadi Reisizadeh, Jinghan Jia, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Sijia Liu, Mingyi Hong |
| 2026 | EACL | Open-Domain Safety Policy Construction. | Di Wu, Siyue Liu, Zixiang Ji, Ya-Liang Chang, Zhe-Yu Liu, Andrew Pleffer, Kai-Wei Chang |
| 2025 | ACL | Comparing Bad Apples to Good Oranges Aligning Large Language Models via Joint Preference Optimization. | Hritik Bansal, Ashima Suvarna, Gantavya Bhatt, Nanyun Peng, Kai-Wei Chang, Aditya Grover |
| 2025 | ACL | SYNTHIA: Novel Concept Design with Affordance Composition. | Hyeonjeong Ha, Xiaomeng Jin, Jeonghwan Kim, Jiateng Liu, Zhenhailong Wang, Khanh Duy Nguyen, Ansel Blume, Nanyun Peng, Kai-Wei Chang, Heng Ji |
| 2025 | ACL | Towards Safety Reasoning in LLMs: AI-agentic Deliberation for Policy-embedded CoT Data Creation. | Tharindu Kumarage, Ninareh Mehrabi, Anil Ramakrishna, Xinyan Zhao, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta, Charith Peris |
| 2025 | ACL | METAL: A Multi-Agent Framework for Chart Generation with Test-Time Scaling. | Bingxuan Li, Yiwei Wang, Jiuxiang Gu, Kai-Wei Chang, Nanyun Peng |
| 2025 | ACL | V-ALPHASOCIAL: Benchmark and Self-Reflective Chain-of-Thought Generation for Visual Social Commonsense Reasoning. | Zongyu Lin, Zhikun Xu, Xiaohan Song, Yixin Wan, Xingcheng Yao, Tsung-Han Lin, Selina Song, Pranav Subbaraman, Ben Zhou, Kai-Wei Chang, Yizhou Sun |
| 2025 | ACL | DRS: Deep Question Reformulation With Structured Output. | Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang |
| 2025 | ACL | Vulnerability of LLMs to Vertically Aligned Text Manipulations. | Zhecheng Li, Yiwei Wang, Bryan Hooi, Yujun Cai, Zhen Xiong, Nanyun Peng, Kai-Wei Chang |
| 2025 | ACL | White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs. | Yixin Wan, Kai-Wei Chang |
| 2025 | ACL | The Male CEO and the Female Assistant: Evaluation and Mitigation of Gender Biases in Text-To-Image Generation of Dual Subjects. | Yixin Wan, Kai-Wei Chang |
| 2025 | ACL | Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation. | Fan Yin, Zifeng Wang, I-Hung Hsu, Jun Yan, Ke Jiang, Yanfei Chen, Jindong Gu, Long T. Le, Kai-Wei Chang, Chen-Yu Lee, Hamid Palangi, Tomas Pfister |
| 2025 | AIES | Re-imagining Virtual Communities: Ethical Guidelines for Studying Black Twitter. | Christina Chance, Kai-Wei Chang |
| 2025 | COCOON | A Sparse Dynamic Programming Algorithm for Solving the Coding Sequence Design Problem. | Long-Shang Cho, Kai-Wei Chang, Chin Lung Lu |
| 2025 | COLING | Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding. | Cheng Wang, Yiwei Wang, Bryan Hooi, Yujun Cai, Nanyun Peng, Kai-Wei Chang |
| 2025 | CVPR | VISCO: Benchmarking Fine-Grained Critique and Correction Towards Self-Improvement in Visual Reasoning. | Xueqing Wu, Yuheng Ding, Bingxuan Li, Pan Lu, Da Yin, Kai-Wei Chang, Nanyun Peng |
| 2025 | CVPR | Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models. | Shuyang Hao, Bryan Hooi, Jun Liu, Kai-Wei Chang, Zi Huang, Yujun Cai |
| 2025 | EMNLP | Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases. | Jen-tse Huang, Yuhang Yan, Linqi Liu, Yixin Wan, Wenxuan Wang, Kai-Wei Chang, Michael R. Lyu |
| 2025 | EMNLP | SNaRe: Domain-aware Data Generation for Low-Resource Event Detection. | Tanmay Parekh, Yuxuan Dong, Lucas Bandarkar, Artin Kim, I-Hung Hsu, Kai-Wei Chang, Nanyun Peng |
| 2025 | EMNLP | DiCoRe: Enhancing Zero-shot Event Detection via Divergent-Convergent LLM Reasoning. | Tanmay Parekh, Kartik Mehta, Ninareh Mehrabi, Kai-Wei Chang, Nanyun Peng |
| 2025 | EMNLP | LUME: LLM Unlearning with Multitask Evaluations. | Anil Ramakrishna, Yixin Wan, Xiaomeng Jin, Kai-Wei Chang, Zhiqi Bu, Bhanukiran Vinzamuri, Volkan Cevher, Mingyi Hong, Rahul Gupta |
| 2025 | EMNLP | Not Every Token Needs Forgetting: Selective Unlearning Balancing Forgetting and Utility in Large Language Models. | Yixin Wan, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Rahul Gupta |
| 2025 | ICCV | STIV: Scalable Text and Image Conditioned Video Generation. | Zongyu Lin, Wei Liu, Chen Chen, Jiasen Lu, Wenze Hu, Tsu-Jui Fu, Jesse Allardice, Zhengfeng Lai, Liangchen Song, Bowen Zhang, Cha Chen, Yiran Fei, Lezhi Li, Yinfei Yang, Yizhou Sun, Kai-Wei Chang |
| 2025 | ICCV | Verbalized Representation Learning for Interpretable Few-Shot Generalization. | Cheng-Fu Yang, Da Yin, Wenbo Hu, Heng Ji, Nanyun Peng, Bolei Zhou, Kai-Wei Chang |
| 2025 | ICLR | MRAG-Bench: Vision-Centric Evaluation for Retrieval-Augmented Multimodal Models. | Wenbo Hu, Jia-Chen Gu, Zi-Yi Dou, Mohsen Fayyaz, Pan Lu, Kai-Wei Chang, Nanyun Peng |
| 2025 | ICLR | Controllable Generation via Locally Constrained Resampling. | Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck |
| 2025 | ICLR | VideoPhy: Evaluating Physical Commonsense for Video Generation. | Hritik Bansal, Zongyu Lin, Tianyi Xie, Zeshun Zong, Michal Yarom, Yonatan Bitton, Chenfanfu Jiang, Yizhou Sun, Kai-Wei Chang, Aditya Grover |
| 2025 | ICLR | SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation. | Yining Hong, Beide Liu, Maxine Wu, Yuanhao Zhai, Kai-Wei Chang, Linjie Li, Kevin Lin, Chung-Ching Lin, Jianfeng Wang, Zhengyuan Yang, Ying Nian Wu, Lijuan Wang |
| 2025 | ICLR | Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks. | 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, Chih-Kai Yang, Xuanjun Chen, Chi-Yuan Hsiao, Puyuan Peng, Shih-Heng Wang, Chun-Yi Kuan, Ke-Han Lu, Kai-Wei Chang, Fabian Alejandro Ritter Gutierrez, et al. |
| 2025 | ICLR | MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. | 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 |
| 2025 | ICLR | LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory. | Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu |
| 2025 | ICLR | MQuAKE-Remastered: Multi-Hop Knowledge Editing Can Only Be Advanced with Reliable Evaluations. | Shaochen (Henry) Zhong, Yifan Lu, Lize Shao, Bhargav Bhushanam, Xiaocong Du, Yixin Wan, Yucheng Shi, Daochen Zha, Yiwei Wang, Ninghao Liu, Kaixiong Zhou, Shuai Xu, Kai-Wei Chang, Louis Feng, Vipin Chaudhary, Xia Hu |
| 2025 | ICML | Contrastive Visual Data Augmentation. | Yu Zhou, Bingxuan Li, Mohan Tang, Xiaomeng Jin, Te-Lin Wu, Kuan-Hao Huang, Heng Ji, Kai-Wei Chang, Nanyun Peng |
| 2025 | ICML | QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search. | Zongyu Lin, Yao Tang, Xingcheng Yao, Da Yin, Ziniu Hu, Yizhou Sun, Kai-Wei Chang |
| 2025 | ICML | Contradiction Retrieval via Contrastive Learning with Sparsity. | Haike Xu, Zongyu Lin, Kai-Wei Chang, Yizhou Sun, Piotr Indyk |
| 2025 | Interspeech | Analyzing Mitigation Strategies for Catastrophic Forgetting in End-to-End Training of Spoken Language Models. | Chi-Yuan Hsiao, Ke-Han Lu, Kai-Wei Chang, Chih-Kai Yang, Wei-Chih Chen, Hung-yi Lee |
| 2025 | NAACL | On Localizing and Deleting Toxic Memories in Large Language Models. | Anubrata Das, Manoj Kumar, Ninareh Mehrabi, Anil Ramakrishna, Anna Rumshisky, Kai-Wei Chang, Aram Galstyan, Morteza Ziyadi, Rahul Gupta |
| 2025 | NAACL | Unlearning as multi-task optimization: A normalized gradient difference approach with an adaptive learning rate. | Xiaomeng Jin, Zhiqi Bu, Bhanukiran Vinzamuri, Anil Ramakrishna, Kai-Wei Chang, Volkan Cevher, Mingyi Hong |
| 2025 | NAACL | BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via Compression. | Yuankai Li, Jia-Chen Gu, Di Wu, Kai-Wei Chang, Nanyun Peng |
| 2025 | NAACL | Vulnerability of Large Language Models to Output Prefix Jailbreaks: Impact of Positions on Safety. | Yiwei Wang, Muhao Chen, Nanyun Peng, Kai-Wei Chang |
| 2024 | ACL | TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction. | Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Prem Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji |
| 2024 | ACL | Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data. | Xiao Liu, Zirui Wu, Xueqing Wu, Pan Lu, Kai-Wei Chang, Yansong Feng |
| 2024 | ACL | Tree-of-Traversals: A Zero-Shot Reasoning Algorithm for Augmenting Black-box Language Models with Knowledge Graphs. | Elan Markowitz, Anil Ramakrishna, Jwala Dhamala, Ninareh Mehrabi, Charith Peris, Rahul Gupta, Kai-Wei Chang, Aram Galstyan |
| 2024 | ACL | Codec-SUPERB: An In-Depth Analysis of Sound Codec Models. | 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 |
| 2024 | ACL | KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation. | Di Wu, Da Yin, Kai-Wei Chang |
| 2024 | ACL | Agent Lumos: Unified and Modular Training for Open-Source Language Agents. | Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin |
| 2024 | COLING | On Leveraging Encoder-only Pre-trained Language Models for Effective Keyphrase Generation. | Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang |
| 2024 | COLING | Can Small Language Models Help Large Language Models Reason Better?: LM-Guided Chain-of-Thought. | Jooyoung Lee, Fan Yang, Thanh Tran, Qian Hu, Emre Barut, Kai-Wei Chang |
| 2024 | COLING | Medical Vision-Language Pre-Training for Brain Abnormalities. | Masoud Monajatipoor, Zi-Yi Dou, Aichi Chien, Nanyun Peng, Kai-Wei Chang |
| 2024 | CVPR | VideoCon: Robust Video-Language Alignment via Contrast Captions. | Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover |
| 2024 | EACL | Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis. | Oscar Chew, Hsuan-Tien Lin, Kai-Wei Chang, Kuan-Hao Huang |
| 2024 | ECCV | The Hard Positive Truth About Vision-Language Compositionality. | Amita Kamath, Cheng-Yu Hsieh, Kai-Wei Chang, Ranjay Krishna |
| 2024 | ECCV | MATHVERSE: Does Your Multi-modal LLM Truly See the Diagrams in Visual Math Problems? | 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 |
| 2024 | EMNLP | VDebugger: Harnessing Execution Feedback for Debugging Visual Programs. | Xueqing Wu, Zongyu Lin, Songyan Zhao, Te-Lin Wu, Pan Lu, Nanyun Peng, Kai-Wei Chang |
| 2024 | EMNLP | MetaKP: On-Demand Keyphrase Generation. | Di Wu, Xiaoxian Shen, Kai-Wei Chang |
| 2024 | EMNLP | Re-ReST: Reflection-Reinforced Self-Training for Language Agents. | Zi-Yi Dou, Cheng-Fu Yang, Xueqing Wu, Kai-Wei Chang, Nanyun Peng |
| 2024 | EMNLP | Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue. | Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, Pan Lu, Zhen-Hua Ling, Kai-Wei Chang, Nanyun Peng |
| 2024 | EMNLP | Control Large Language Models via Divide and Conquer. | Bingxuan Li, Yiwei Wang, Tao Meng, Kai-Wei Chang, Nanyun Peng |
| 2024 | EMNLP | FLIRT: Feedback Loop In-context Red Teaming. | Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard S. Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta |
| 2024 | EMNLP | LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning. | Silin Meng, Yiwei Wang, Cheng-Fu Yang, Nanyun Peng, Kai-Wei Chang |
| 2024 | EMNLP | Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification. | Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard S. Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris |
| 2024 | EMNLP | SPEED++: A Multilingual Event Extraction Framework for Epidemic Prediction and Preparedness. | Tanmay Parekh, Jeffrey Kwan, Jiarui Yu, Sparsh Johri, Hyosang Ahn, Sreya Muppalla, Kai-Wei Chang, Wei Wang, Nanyun Peng |
| 2024 | EMNLP | QUDSELECT: Selective Decoding for Questions Under Discussion Parsing. | Ashima Suvarna, Xiao Liu, Tanmay Parekh, Kai-Wei Chang, Nanyun Peng |
| 2024 | EMNLP | Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models. | Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan |
| 2024 | EMNLP | The Factuality Tax of Diversity-Intervened Text-to-Image Generation: Benchmark and Fact-Augmented Intervention. | Yixin Wan, Di Wu, Haoran Wang, Kai-Wei Chang |
| 2024 | EMNLP | MACAROON: Training Vision-Language Models To Be Your Engaged Partners. | Shujin Wu, Yi Fung, Sha Li, Yixin Wan, Kai-Wei Chang, Heng Ji |
| 2024 | EMNLP | Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented Generation. | Di Wu, Jia-Chen Gu, Fan Yin, Nanyun Peng, Kai-Wei Chang |
| 2024 | ICASSP | Dynamic-Superb: Towards a Dynamic, Collaborative, and Comprehensive Instruction-Tuning Benchmark For Speech. | 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 |
| 2024 | ICLR | MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. | Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao |
| 2024 | ICLR | CoBIT: A Contrastive Bi-directional Image-Text Generation Model. | Haoxuan You, Mandy Guo, Zhecan Wang, Kai-Wei Chang, Jason M. Baldridge, Jiahui Yu |
| 2024 | ICML | Position: TrustLLM: Trustworthiness in Large Language Models. | 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 |
| 2024 | ICML | ConTextual: Evaluating Context-Sensitive Text-Rich Visual Reasoning in Large Multimodal Models. | Rohan Wadhawan, Hritik Bansal, Kai-Wei Chang, Nanyun Peng |
| 2024 | ICML | Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension. | Fan Yin, Jayanth Srinivasa, Kai-Wei Chang |
| 2024 | ICML | On Prompt-Driven Safeguarding for Large Language Models. | Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng |
| 2024 | Interspeech | Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks. | Kai-Wei Chang, Ming-Hao Hsu, Shang-Wen Li, Hung-yi Lee |
| 2024 | NAACL | The steerability of large language models toward data-driven personas. | Junyi Li, Charith Peris, Ninareh Mehrabi, Palash Goyal, Kai-Wei Chang, Aram Galstyan, Richard S. Zemel, Rahul Gupta |
| 2024 | NAACL | CASA: Causality-driven Argument Sufficiency Assessment. | Xiao Liu, Yansong Feng, Kai-Wei Chang |
| 2024 | NAACL | Mitigating Bias for Question Answering Models by Tracking Bias Influence. | Mingyu Derek Ma, Jiun-Yu Kao, Arpit Gupta, Yu-Hsiang Lin, Wenbo Zhao, Tagyoung Chung, Wei Wang, Kai-Wei Chang, Nanyun Peng |
| 2024 | NAACL | Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies. | Anaelia Ovalle, Ninareh Mehrabi, Palash Goyal, Jwala Dhamala, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Yuval Pinter, Rahul Gupta |
| 2024 | NAACL | Contextual Label Projection for Cross-Lingual Structured Prediction. | Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng |
| 2024 | NAACL | Event Detection from Social Media for Epidemic Prediction. | Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang |
| 2023 | ACL | AVATAR: A Parallel Corpus for Java-Python Program Translation. | Wasi Uddin Ahmad, Md Golam Rahman Tushar, Saikat Chakraborty, Kai-Wei Chang |
| 2023 | ACL | PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English. | Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang |
| 2023 | ACL | TAGPRIME: A Unified Framework for Relational Structure Extraction. | I-Hung Hsu, Kuan-Hao Huang, Shuning Zhang, Wenxin Cheng, Prem Natarajan, Kai-Wei Chang, Nanyun Peng |
| 2023 | ACL | ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation. | Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan |
| 2023 | ACL | Symbolic Chain-of-Thought Distillation: Small Models Can Also "Think" Step-by-Step. | Liunian Harold Li, Jack Hessel, Youngjae Yu, Xiang Ren, Kai-Wei Chang, Yejin Choi |
| 2023 | ACL | Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations. | Zixuan Ling, Xiaoqing Zheng, Jianhan Xu, Jinshu Lin, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang |
| 2023 | ACL | A Survey of Deep Learning for Mathematical Reasoning. | Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang |
| 2023 | ACL | Resolving Ambiguities in Text-to-Image Generative Models. | Ninareh Mehrabi, Palash Goyal, Apurv Verma, Jwala Dhamala, Varun Kumar, Qian Hu, Kai-Wei Chang, Richard S. Zemel, Aram Galstyan, Rahul Gupta |
| 2023 | ACL | MetaVL: Transferring In-Context Learning Ability From Language Models to Vision-Language Models. | Masoud Monajatipoor, Liunian Harold Li, Mozhdeh Rouhsedaghat, Lin Yang, Kai-Wei Chang |
| 2023 | ACL | GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles. | Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng |
| 2023 | ACL | The Tail Wagging the Dog: Dataset Construction Biases of Social Bias Benchmarks. | Nikil Roashan Selvam, Sunipa Dev, Daniel Khashabi, Tushar Khot, Kai-Wei Chang |
| 2023 | ACL | UniFine: A Unified and Fine-grained Approach for Zero-shot Vision-Language Understanding. | Rui Sun, Zhecan Wang, Haoxuan You, Noel Codella, Kai-Wei Chang, Shih-Fu Chang |
| 2023 | ACL | PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation. | Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang |
| 2023 | ACL | Efficient Shapley Values Estimation by Amortization for Text Classification. | Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang |
| 2023 | AIES | Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness. | Anaelia Ovalle, Arjun Subramonian, Vagrant Gautam, Gilbert Gee, Kai-Wei Chang |
| 2023 | AISTATS | Semantic Strengthening of Neuro-Symbolic Learning. | Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck |
| 2023 | ASRU | Prompting and Adapter Tuning For Self-Supervised Encoder-Decoder Speech Model. | 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 |
| 2023 | ASRU | Towards General-Purpose Text-Instruction-Guided Voice Conversion. | Chun-Yi Kuan, Chen-An Li, Tsu-Yuan Hsu, Tse-Yang Lin, Ho-Lam Chung, Kai-Wei Chang, Shuo-Yiin Chang, Hung-Yi Lee |
| 2023 | ASRU | Minisuperb: Lightweight Benchmark for Self-Supervised Speech Models. | Yu-Hsiang Wang, Huang-Yu Chen, Kai-Wei Chang, Winston H. Hsu, Hung-Yi Lee |
| 2023 | CVPR | Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. | Ziniu Hu, Ahmet Iscen, Chen Sun, Zirui Wang, Kai-Wei Chang, Yizhou Sun, Cordelia Schmid, David A. Ross, Alireza Fathi |
| 2023 | CVPR | GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods. | Da Yin, Feng Gao, Govind Thattai, Michael Johnston, Kai-Wei Chang |
| 2023 | EACL | Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages. | Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang |
| 2023 | EACL | Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies. | Md. Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang |
| 2023 | EMNLP | Text encoders bottleneck compositionality in contrastive vision-language models. | Amita Kamath, Jack Hessel, Kai-Wei Chang |
| 2023 | EMNLP | What's "up" with vision-language models? Investigating their struggle with spatial reasoning. | Amita Kamath, Jack Hessel, Kai-Wei Chang |
| 2023 | EMNLP | Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks. | Po-Nien Kung, Fan Yin, Di Wu, Kai-Wei Chang, Nanyun Peng |
| 2023 | EMNLP | Dataset Bias Mitigation in Multiple-Choice Visual Question Answering and Beyond. | Zhecan Wang, Long Chen, Haoxuan You, Keyang Xu, Yicheng He, Wenhao Li, Noel Codella, Kai-Wei Chang, Shih-Fu Chang |
| 2023 | EMNLP | "Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letters. | Yixin Wan, George Pu, Jiao Sun, Aparna Garimella, Kai-Wei Chang, Nanyun Peng |
| 2023 | EMNLP | Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems. | Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, Kai-Wei Chang |
| 2023 | EMNLP | Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models. | Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang |
| 2023 | EMNLP | LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following. | Cheng-Fu Yang, Yen-Chun Chen, Jianwei Yang, Xiyang Dai, Lu Yuan, Yu-Chiang Frank Wang, Kai-Wei Chang |
| 2023 | EMNLP | Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation. | Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal, Jiawei Han, Kai-Wei Chang |
| 2023 | EMNLP | IdealGPT: Iteratively Decomposing Vision and Language Reasoning via Large Language Models. | Haoxuan You, Rui Sun, Zhecan Wang, Long Chen, Gengyu Wang, Hammad A. Ayyubi, Kai-Wei Chang, Shih-Fu Chang |
| 2023 | ICASSP | Ensemble Knowledge Distillation of Self-Supervised Speech Models. | Kuan-Po Huang, Tzu-hsun Feng, Yu-Kuan Fu, Tsu-Yuan Hsu, Po-Chieh Yen, Wei-Cheng Tseng, Kai-Wei Chang, Hung-Yi Lee |
| 2023 | ICCV | CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. | Hritik Bansal, Fan Yin, Nishad Singhi, Aditya Grover, Yu Yang, Kai-Wei Chang |
| 2023 | ICLR | Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. | Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan |
| 2023 | IJCAI | On the Paradox of Learning to Reason from Data. | Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck |
| 2023 | IJCNLP | Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer. | Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen |
| 2023 | Interspeech | ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression. | Yixin Wan, Yuan Zhou, Xiulian Peng, Kai-Wei Chang, Yan Lu |
| 2023 | NeSy | Semantic Probabilistic Layers for Neuro-Symbolic Learning. | Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari |
| 2023 | WSDM | Incorporating Fairness in Large Scale NLU Systems. | 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 |
| 2022 | AAAI | PYLON: A PyTorch Framework for Learning with Constraints. | Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh |
| 2022 | AAAI | SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning. | Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang |
| 2022 | ACL | On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. | Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan |
| 2022 | ACL | Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. | Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan |
| 2022 | ACL | Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction. | Kuan-Hao Huang, I-Hung Hsu, Prem Natarajan, Kai-Wei Chang, Nanyun Peng |
| 2022 | ACL | Measuring Fairness of Text Classifiers via Prediction Sensitivity. | Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang |
| 2022 | ACL | Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples. | Jianhan Xu, Cenyuan Zhang, Xiaoqing Zheng, Linyang Li, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang |
| 2022 | ACL | On the Sensitivity and Stability of Model Interpretations in NLP. | Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang |
| 2022 | ACL | Improving the Adversarial Robustness of NLP Models by Information Bottleneck. | Cenyuan Zhang, Xiang Zhou, Yixin Wan, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh |
| 2022 | CVPR | Grounded Language-Image Pre-training. | Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao |
| 2022 | EMNLP | How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? | Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang |
| 2022 | EMNLP | Conditional Supervised Contrastive Learning for Fair Text Classification. | Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian |
| 2022 | EMNLP | Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations. | Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan |
| 2022 | EMNLP | Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. | Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun |
| 2022 | EMNLP | Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense. | Zhecan Wang, Haoxuan You, Yicheng He, Wenhao Li, Kai-Wei Chang, Shih-Fu Chang |
| 2022 | EMNLP | Representation Learning for Resource-Constrained Keyphrase Generation. | Di Wu, Wasi Uddin Ahmad, Sunipa Dev, Kai-Wei Chang |
| 2022 | EMNLP | Weight Perturbation as Defense against Adversarial Word Substitutions. | Jianhan Xu, Linyang Li, Jiping Zhang, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang |
| 2022 | EMNLP | GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. | Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang |
| 2022 | EMNLP | ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation. | Fan Yin, Yao Li, Cho-Jui Hsieh, Kai-Wei Chang |
| 2022 | EMNLP | Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding. | Haoxuan You, Rui Sun, Zhecan Wang, Kai-Wei Chang, Shih-Fu Chang |
| 2022 | EMNLP | Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. | Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang |
| 2022 | ICASSP | Toward Degradation-Robust Voice Conversion. | Chien-yu Huang, Kai-Wei Chang, Hung-Yi Lee |
| 2022 | ICLR | How Much Can CLIP Benefit Vision-and-Language Tasks? | Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer |
| 2022 | IJCNLP | On Measures of Biases and Harms in NLP. | Sunipa Dev, Emily Sheng, Jieyu Zhao, Aubrie Amstutz, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang |
| 2022 | Interspeech | An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks. | Kai-Wei Chang, Wei-Cheng Tseng, Shang-Wen Li, Hung-yi Lee |
| 2022 | MICCAI | BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. | Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, C.-C. Jay Kuo, Aichi Chien, Kai-Wei Chang |
| 2022 | NAACL | DEGREE: A Data-Efficient Generation-Based Event Extraction Model. | I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng |
| 2022 | NAACL | Socially Aware Bias Measurements for Hindi Language Representations. | Vijit Malik, Sunipa Dev, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang |
| 2022 | UAI | Neuro-symbolic entropy regularization. | Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck |
| 2021 | AAAI | GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction. | Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang |
| 2021 | AAAI | Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference. | Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang |
| 2021 | ACL | Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention. | Wasi Uddin Ahmad, Xiao Bai, Soomin Lee, Kai-Wei Chang |
| 2021 | ACL | Intent Classification and Slot Filling for Privacy Policies. | Wasi Uddin Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang |
| 2021 | ACL | Syntax-augmented Multilingual BERT for Cross-lingual Transfer. | Wasi Uddin Ahmad, Haoran Li, Kai-Wei Chang, Yashar Mehdad |
| 2021 | ACL | Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification. | Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang |
| 2021 | ACL | Societal Biases in Language Generation: Progress and Challenges. | Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng |
| 2021 | ACL | Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? | Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang |
| 2021 | ACL | Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble. | Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang |
| 2021 | EACL | Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs. | Kuan-Hao Huang, Kai-Wei Chang |
| 2021 | EMNLP | Robustness and Adversarial Examples in Natural Language Processing. | Kai-Wei Chang, He He, Robin Jia, Sameer Singh |
| 2021 | EMNLP | Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. | Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang |
| 2021 | EMNLP | Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training. | Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang |
| 2021 | EMNLP | Relation-Guided Pre-Training for Open-Domain Question Answering. | Ziniu Hu, Yizhou Sun, Kai-Wei Chang |
| 2021 | EMNLP | Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. | Zongyi Li, Jianhan Xu, Jiehang Zeng, Linyang Li, Xiaoqing Zheng, Qi Zhang, Kai-Wei Chang, Cho-Jui Hsieh |
| 2021 | EMNLP | Retrieval Augmented Code Generation and Summarization. | Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang |
| 2021 | EMNLP | Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning. | Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, Kai-Wei Chang |
| 2021 | EMNLP | On the Transferability of Adversarial Attacks against Neural Text Classifier. | Liping Yuan, Xiaoqing Zheng, Yi Zhou, Cho-Jui Hsieh, Kai-Wei Chang |
| 2021 | ICDE | CREATe: Clinical Report Extraction and Annotation Technology. | Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang |
| 2021 | ICML | An Integer Linear Programming Framework for Mining Constraints from Data. | Tao Meng, Kai-Wei Chang |
| 2021 | NAACL | Unified Pre-training for Program Understanding and Generation. | Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang |
| 2021 | NAACL | Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models. | James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang |
| 2021 | NAACL | Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions. | Liunian Harold Li, Haoxuan You, Zhecan Wang, Alireza Zareian, Shih-Fu Chang, Kai-Wei Chang |
| 2021 | NAACL | Evaluating the Values of Sources in Transfer Learning. | Md. Rizwan Parvez, Kai-Wei Chang |
| 2021 | NAACL | "Nice Try, Kiddo": Investigating Ad Hominems in Dialogue Responses. | Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng |
| 2021 | NAACL | Adapting Coreference Resolution for Processing Violent Death Narratives. | Ankith Uppunda, Susan D. Cochran, Jacob G. Foster, Alina Arseniev-Koehler, Vickie M. Mays, Kai-Wei Chang |
| 2021 | NAACL | Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation. | Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh |
| 2020 | AAAI | Learning Directional Sentence-Pair Embedding for Natural Language Reasoning (Student Abstract). | Yuchen Jiang, Zhenxin Xiao, Kai-Wei Chang |
| 2020 | ACL | A Transformer-based Approach for Source Code Summarization. | Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang |
| 2020 | ACL | Towards Understanding Gender Bias in Relation Extraction. | 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 |
| 2020 | ACL | Mitigating Gender Bias Amplification in Distribution by Posterior Regularization. | Shengyu Jia, Tao Meng, Jieyu Zhao, Kai-Wei Chang |
| 2020 | ACL | What Does BERT with Vision Look At? | Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang |
| 2020 | ACL | On the Robustness of Language Encoders against Grammatical Errors. | Fan Yin, Quanyu Long, Tao Meng, Kai-Wei Chang |
| 2020 | ACL | SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics. | Da Yin, Tao Meng, Kai-Wei Chang |
| 2020 | ACL | Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer. | Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, Ahmed Hassan Awadallah |
| 2020 | ACL | "The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. | Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang |
| 2020 | EMNLP | PolicyQA: A Reading Comprehension Dataset for Privacy Policies. | Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, Kai-Wei Chang |
| 2020 | EMNLP | Cross-Lingual Dependency Parsing by POS-Guided Word Reordering. | Lu Liu, Yi Zhou, Jianhan Xu, Xiaoqing Zheng, Kai-Wei Chang, Xuanjing Huang |
| 2020 | EMNLP | Towards Controllable Biases in Language Generation. | Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng |
| 2020 | EMNLP | LOGAN: Local Group Bias Detection by Clustering. | Jieyu Zhao, Kai-Wei Chang |
| 2020 | ICLR | Robustness Verification for Transformers. | Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh |
| 2020 | IJCNLP | Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization. | Kuan-Hao Huang, Chen Li, Kai-Wei Chang |
| 2020 | KDD | GPT-GNN: Generative Pre-Training of Graph Neural Networks. | Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun |
| 2019 | ACL | Few-Shot Representation Learning for Out-Of-Vocabulary Words. | Ziniu Hu, Ting Chen, Kai-Wei Chang, Yizhou Sun |
| 2019 | ACL | Mitigating Gender Bias in Natural Language Processing: Literature Review. | Tony Sun, Andrew Gaut, Shirlyn Tang, Yuxin Huang, Mai ElSherief, Jieyu Zhao, Diba Mirza, Elizabeth M. Belding, Kai-Wei Chang, William Yang Wang |
| 2019 | CoNLL | Cross-Lingual Dependency Parsing with Unlabeled Auxiliary Languages. | Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Kai-Wei Chang, Nanyun Peng |
| 2019 | CoNLL | Learning to Represent Bilingual Dictionaries. | Muhao Chen, Yingtao Tian, Haochen Chen, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo |
| 2019 | EMNLP | Bias and Fairness in Natural Language Processing. | Kai-Wei Chang, Vinod Prabhakaran, Vicente Ordonez |
| 2019 | EMNLP | Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing. | Tao Meng, Nanyun Peng, Kai-Wei Chang |
| 2019 | EMNLP | Robust Text Classifier on Test-Time Budgets. | Md. Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Saligrama |
| 2019 | EMNLP | The Woman Worked as a Babysitter: On Biases in Language Generation. | Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng |
| 2019 | EMNLP | Retrofitting Contextualized Word Embeddings with Paraphrases. | Weijia Shi, Muhao Chen, Pei Zhou, Kai-Wei Chang |
| 2019 | EMNLP | Visualizing Trends of Key Roles in News Articles. | Chen Xia, Haoxiang Zhang, Jacob Moghtader, Allen Wu, Kai-Wei Chang |
| 2019 | EMNLP | Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification. | Yichao Zhou, Jyun-Yu Jiang, Kai-Wei Chang, Wei Wang |
| 2019 | EMNLP | Examining Gender Bias in Languages with Grammatical Gender. | Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang |
| 2019 | ICCV | Balanced Datasets Are Not Enough: Estimating and Mitigating Gender Bias in Deep Image Representations. | Tianlu Wang, Jieyu Zhao, Mark Yatskar, Kai-Wei Chang, Vicente Ordonez |
| 2019 | ICDM | Computational Analysis of French Reborrowing Process for English Loanwords. | Zhubo Deng, Weijia Shi, Pei Zhou, Muhao Chen, Kai-Wei Chang |
| 2019 | NAACL | On Difficulties of Cross-Lingual Transfer with Order Differences: A Case Study on Dependency Parsing. | Wasi Uddin Ahmad, Zhisong Zhang, Xuezhe Ma, Eduard H. Hovy, Kai-Wei Chang, Nanyun Peng |
| 2019 | NAACL | Gender Bias in Contextualized Word Embeddings. | Jieyu Zhao, Tianlu Wang, Mark Yatskar, Ryan Cotterell, Vicente Ordonez, Kai-Wei Chang |
| 2019 | SIGIR | Context Attentive Document Ranking and Query Suggestion. | Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang |
| 2018 | ACL | Building Language Models for Text with Named Entities. | Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang |
| 2018 | EMNLP | Generating Natural Language Adversarial Examples. | Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani B. Srivastava, Kai-Wei Chang |
| 2018 | EMNLP | Learning Gender-Neutral Word Embeddings. | Jieyu Zhao, Yichao Zhou, Zeyu Li, Wei Wang, Kai-Wei Chang |
| 2018 | ICDM | Quantification and Analysis of Scientific Language Variation Across Research Fields. | Pei Zhou, Muhao Chen, Kai-Wei Chang, Carlo Zaniolo |
| 2018 | ICLR | Multi-Task Learning for Document Ranking and Query Suggestion. | Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang |
| 2018 | IJCAI | Co-training Embeddings of Knowledge Graphs and Entity Descriptions for Cross-lingual Entity Alignment. | Muhao Chen, Yingtao Tian, Kai-Wei Chang, Steven Skiena, Carlo Zaniolo |
| 2018 | ICRA | Counterexamples for Robotic Planning Explained in Structured Language. | Lu Feng, Mahsa Ghasemi, Kai-Wei Chang, Ufuk Topcu |
| 2018 | LREC | A Corpus to Learn Refer-to-as Relations for Nominals. | Wasi Uddin Ahmad, Kai-Wei Chang |
| 2018 | LREC | A Corpus of Drug Usage Guidelines Annotated with Type of Advice. | Sarah Masud Preum, Md. Rizwan Parvez, Kai-Wei Chang, John A. Stankovic |
| 2018 | NAACL | Learning Word Embeddings for Low-Resource Languages by PU Learning. | Chao Jiang, Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang |
| 2018 | NAACL | Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods. | Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang |
| 2018 | SIGIR | Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search. | Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang |
| 2017 | AAAI | Learning to Suggest Phrases. | Kenneth Charles Arnold, Kai-Wei Chang, Adam Tauman Kalai |
| 2017 | AAAI | Resource Constrained Structured Prediction. | Tolga Bolukbasi, Kai-Wei Chang, Joseph Wang, Venkatesh Saligrama |
| 2017 | EMNLP | Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. | Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang |
| 2017 | IJCNLP | Counterfactual Language Model Adaptation for Suggesting Phrases. | Kenneth C. Arnold, Kai-Wei Chang, Adam Kalai |
| 2016 | EMNLP | Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems. | Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang, Wen-tau Yih |
| 2015 | AAAI | Structural Learning with Amortized Inference. | Kai-Wei Chang, Shyam Upadhyay, Gourab Kundu, Dan Roth |
| 2015 | CoNLL | A Joint Framework for Coreference Resolution and Mention Head Detection. | Haoruo Peng, Kai-Wei Chang, Dan Roth |
| 2015 | ICML | Learning to Search Better than Your Teacher. | Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daum III, John Langford |
| 2015 | NAACL | Hands-on Learning to Search for Structured Prediction. | Hal Daum III, John Langford, Kai-Wei Chang, He He, Sudha Rao |
| 2014 | CoNLL | The Illinois-Columbia System in the CoNLL-2014 Shared Task. | Alla Rozovskaya, Kai-Wei Chang, Mark Sammons, Dan Roth, Nizar Habash |
| 2014 | EMNLP | Typed Tensor Decomposition of Knowledge Bases for Relation Extraction. | Kai-Wei Chang, Wen-tau Yih, Bishan Yang, Christopher Meek |
| 2014 | ICML | A Discriminative Latent Variable Model for Online Clustering. | Rajhans Samdani, Kai-Wei Chang, Dan Roth |
| 2013 | CoNLL | The University of Illinois System in the CoNLL-2013 Shared Task. | Alla Rozovskaya, Kai-Wei Chang, Mark Sammons, Dan Roth |
| 2013 | EMNLP | A Constrained Latent Variable Model for Coreference Resolution. | Kai-Wei Chang, Rajhans Samdani, Dan Roth |
| 2013 | EMNLP | Multi-Relational Latent Semantic Analysis. | Kai-Wei Chang, Wen-tau Yih, Christopher Meek |
| 2012 | CoNLL | Illinois-Coref: The UI System in the CoNLL-2012 Shared Task. | Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, Mark Sammons, Dan Roth |
| 2012 | ICDM | Efficient Pattern-Based Time Series Classification on GPU. | Kai-Wei Chang, Biplab Deka, Wen-mei W. Hwu, Dan Roth |
| 2011 | CoNLL | Inference Protocols for Coreference Resolution. | Kai-Wei Chang, Rajhans Samdani, Alla Rozovskaya, Nick Rizzolo, Mark Sammons, Dan Roth |
| 2011 | IJCAI | Large Linear Classification When Data Cannot Fit in Memory. | Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin |
| 2011 | KDD | Selective block minimization for faster convergence of limited memory large-scale linear models. | Kai-Wei Chang, Dan Roth |
| 2010 | KDD | Large linear classification when data cannot fit in memory. | Hsiang-Fu Yu, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin |
| 2009 | ACL | Iterative Scaling and Coordinate Descent Methods for Maximum Entropy. | Fang-Lan Huang, Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin |
| 2008 | ICML | A dual coordinate descent method for large-scale linear SVM. | Cho-Jui Hsieh, Kai-Wei Chang, Chih-Jen Lin, S. Sathiya Keerthi, S. Sundararajan |
| 2008 | KDD | A sequential dual method for large scale multi-class linear svms. | S. Sathiya Keerthi, S. Sundararajan, Kai-Wei Chang, Cho-Jui Hsieh, Chih-Jen Lin |