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Kaiwei Chang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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- Kai-Wei Chang 0001
![[0000-0001-5365-0072]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-5365-0072")
— University of California, Los Angeles, CA, USA
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2020 – today
- 2025
[c75]Yixin Wan, Kai-Wei Chang:
White Men Lead, Black Women Help? Benchmarking and Mitigating Language Agency Social Biases in LLMs. ACL (1) 2025: 9082-9108- [c74]Yixin Wan, Kai-Wei Chang:
The Male CEO and the Female Assistant: Evaluation and Mitigation of Gender Biases in Text-To-Image Generation of Dual Subjects. ACL (1) 2025: 9174-9190 - [c73]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:
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation. ACL (1) 2025: 32600-32616 - [c72]Long-Shang Cho, Kai-Wei Chang, Chin Lung Lu:
A Sparse Dynamic Programming Algorithm for Solving the Coding Sequence Design Problem. COCOON (2) 2025: 327-340 - [c71]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
Controllable Generation via Locally Constrained Resampling. ICLR 2025 - [i79]Jen-tse Huang, Yuhang Yan, Linqi Liu, Yixin Wan, Wenxuan Wang, Kai-Wei Chang, Michael R. Lyu:
Fact-or-Fair: A Checklist for Behavioral Testing of AI Models on Fairness-Related Queries. CoRR abs/2502.05849 (2025) - [i78]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:
Magnet: Multi-turn Tool-use Data Synthesis and Distillation via Graph Translation. CoRR abs/2503.07826 (2025) - [i77]Salman Rahman, Liwei Jiang, James Shiffer, Genglin Liu, Sheriff Issaka, Md. Rizwan Parvez, Hamid Palangi, Kai-Wei Chang, Yejin Choi, Saadia Gabriel:
X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents. CoRR abs/2504.13203 (2025) - [i76]Yixin Wan, Kai-Wei Chang:
CompAlign: Improving Compositional Text-to-Image Generation with a Complex Benchmark and Fine-Grained Feedback. CoRR abs/2505.11178 (2025) - [i75]Shufan Li, Konstantinos Kallidromitis, Hritik Bansal, Akash Gokul, Yusuke Kato, Kazuki Kozuka, Jason Kuen, Zhe Lin, Kai-Wei Chang, Aditya Grover:
LaViDa: A Large Diffusion Language Model for Multimodal Understanding. CoRR abs/2505.16839 (2025) - [i74]Di Wu, Yixin Wan, Kai-Wei Chang:
Visualized Text-to-Image Retrieval. CoRR abs/2505.20291 (2025) - [i73]Menglin Zhao, Zhuorui Yong, Ruijia Guan, Kai-Wei Chang, Adrian Haimovich, Kei Ouchi, Timothy W. Bickmore, Bingsheng Yao, Dakuo Wang, Smit Desai:
Designing AI Tools for Clinical Care Teams to Support Serious Illness Conversations with Older Adults in the Emergency Department. CoRR abs/2506.00241 (2025) - [i72]Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Sprague, Ashima Suvarna, Benjamin Feuer, Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M. Pratt, Vivek Ramanujan, Jon Saad-Falcon, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A. Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alexandros G. Dimakis, Ludwig Schmidt:
OpenThoughts: Data Recipes for Reasoning Models. CoRR abs/2506.04178 (2025) - [i71]Yixin Wan, Xingrun Chen, Kai-Wei Chang:
Which Cultural Lens Do Models Adopt? On Cultural Positioning Bias and Agentic Mitigation in LLMs. CoRR abs/2509.21080 (2025) - [i70]Eric Hanchen Jiang, Guancheng Wan, Sophia Yin, Mengting Li, Yuchen Wu, Xiao Liang, Xinfeng Li, Yizhou Sun, Wei Wang, Kai-Wei Chang, Ying Nian Wu:
Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models. CoRR abs/2510.07799 (2025) - [i69]Hritik Bansal, Devandra Singh Sachan, Kai-Wei Chang, Aditya Grover, Gargi Ghosh, Wen-tau Yih, Ramakanth Pasunuru:
HoneyBee: Data Recipes for Vision-Language Reasoners. CoRR abs/2510.12225 (2025) - 2024
- [j5]Everett Fall, Kai-Wei Chang, Liang-Gee Chen:
Tree-managed network ensembles for video prediction. Mach. Vis. Appl. 35(4): 90 (2024) - [c70]Di Wu, Da Yin, Kai-Wei Chang:
KPEval: Towards Fine-Grained Semantic-Based Keyphrase Evaluation. ACL (Findings) 2024: 1959-1981 - [c69]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 - [c68]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 - [c67]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 - [c66]Amita Kamath, Cheng-Yu Hsieh, Kai-Wei Chang, Ranjay Krishna:
The Hard Positive Truth About Vision-Language Compositionality. ECCV (14) 2024: 37-54 - [c65]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 - [c64]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 - [c63]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 - [c62]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 - [c61]Fan Yin, Jayanth Srinivasa, Kai-Wei Chang:
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension. ICML 2024 - [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] - [i68]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) - [i67]Fan Yin, Jayanth Srinivasa, Kai-Wei Chang:
Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension. CoRR abs/2402.18048 (2024) - [i66]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) - [i65]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) - [i64]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) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]Amita Kamath, Cheng-Yu Hsieh, Kai-Wei Chang, Ranjay Krishna:
The Hard Positive Truth about Vision-Language Compositionality. CoRR abs/2409.17958 (2024) - [i57]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
Controllable Generation via Locally Constrained Resampling. CoRR abs/2410.13111 (2024) - 2023
- [c60]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 - [c59]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: 495-508 - [c58]Wasi Uddin Ahmad, Md Golam Rahman Tushar, Saikat Chakraborty, Kai-Wei Chang:
AVATAR: A Parallel Corpus for Java-Python Program Translation. ACL (Findings) 2023: 2268-2281 - [c57]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: 2665-2679 - [c56]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: 8666-8680 - [c55]Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang:
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation. ACL (Findings) 2023: 10372-10380 - [c54]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
Semantic Strengthening of Neuro-Symbolic Learning. AISTATS 2023: 10252-10261 - [c53]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: 10951-10961 - [c52]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: 201-210 - [c51]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages. EACL 2023: 1520-1534 - [c50]Amita Kamath, Jack Hessel, Kai-Wei Chang:
Text encoders bottleneck compositionality in contrastive vision-language models. EMNLP 2023: 4933-4944 - [c49]Amita Kamath, Jack Hessel, Kai-Wei Chang:
What's "up" with vision-language models? Investigating their struggle with spatial reasoning. EMNLP 2023: 9161-9175 - [c48]Hritik Bansal, Fan Yin, Nishad Singhi, Aditya Grover, Yu Yang, Kai-Wei Chang:
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. ICCV 2023: 112-123 - [c47]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: 3365-3373 - [c46]Yixin Wan, Yuan Zhou, Xiulian Peng, Kai-Wei Chang, Yan Lu:
ABC-KD: Attention-Based-Compression Knowledge Distillation for Deep Learning-Based Noise Suppression. INTERSPEECH 2023: 2528-2532 - [c45]Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari:
Semantic Probabilistic Layers for Neuro-Symbolic Learning. NeSy 2023: 413 - [c44]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints. NeurIPS 2023 - [p1]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. Compendium of Neurosymbolic Artificial Intelligence 2023: 485-505 - [i56]Da Yin, Feng Gao, Govind Thattai, Michael Johnston, Kai-Wei Chang:
GIVL: Improving Geographical Inclusivity of Vision-Language Models with Pre-Training Methods. CoRR abs/2301.01893 (2023) - [i55]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
Semantic Strengthening of Neuro-Symbolic Learning. CoRR abs/2302.14207 (2023) - [i54]Hritik Bansal, Nishad Singhi, Yu Yang, Fan Yin, Aditya Grover, Kai-Wei Chang:
CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. CoRR abs/2303.03323 (2023) - [i53]Haoxuan You, Mandy Guo, Zhecan Wang, Kai-Wei Chang, Jason Baldridge, Jiahui Yu:
CoBIT: A Contrastive Bi-directional Image-Text Generation Model. CoRR abs/2303.13455 (2023) - [i52]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 abs/2303.17555 (2023) - [i51]Oscar Chew, Kuan-Hao Huang, Kai-Wei Chang, Hsuan-Tien Lin:
Understanding and Mitigating Spurious Correlations in Text Classification. CoRR abs/2305.13654 (2023) - [i50]Amita Kamath, Jack Hessel, Kai-Wei Chang:
Text encoders are performance bottlenecks in contrastive vision-language models. CoRR abs/2305.14897 (2023) - [i49]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 abs/2305.16665 (2023) - [i48]Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang:
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation. CoRR abs/2305.16701 (2023) - [i47]Chenghao Yang, Fan Yin, He He, Kai-Wei Chang, Xiaofei Ma, Bing Xiang:
Efficient Shapley Values Estimation by Amortization for Text Classification. CoRR abs/2305.19998 (2023) - [i46]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 abs/2306.01311 (2023) - [i45]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 abs/2306.14050 (2023) - [i44]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 abs/2310.10865 (2023) - [i43]Amita Kamath, Jack Hessel, Kai-Wei Chang:
What's "up" with vision-language models? Investigating their struggle with spatial reasoning. CoRR abs/2310.19785 (2023) - [i42]Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Raghavi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin:
Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs. CoRR abs/2311.05657 (2023) - [i41]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 abs/2312.01097 (2023) - [i40]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
A Pseudo-Semantic Loss for Autoregressive Models with Logical Constraints. CoRR abs/2312.03905 (2023) - 2022
- [c43]Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh:
PYLON: A PyTorch Framework for Learning with Constraints. AAAI 2022: 13152-13154 - [c42]Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang:
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? EMNLP 2022: 1358-1370 - [c41]Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang:
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. EMNLP 2022: 2039-2055 - [c40]Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian:
Conditional Supervised Contrastive Learning for Fair Text Classification. EMNLP (Findings) 2022: 2736-2756 - [c39]Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, C.-C. Jay Kuo, Aichi Chien, Kai-Wei Chang:
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. MICCAI (5) 2022: 725-734 - [c38]Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari:
Semantic Probabilistic Layers for Neuro-Symbolic Learning. NeurIPS 2022 - [c37]Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck:
Neuro-symbolic entropy regularization. UAI 2022: 43-53 - [i39]Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck:
Neuro-Symbolic Entropy Regularization. CoRR abs/2201.11250 (2022) - [i38]Md. Rizwan Parvez, Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang:
Retrieval Enhanced Data Augmentation for Question Answering on Privacy Policies. CoRR abs/2204.08952 (2022) - [i37]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages. CoRR abs/2205.11116 (2022) - [i36]Jianfeng Chi, William Shand, Yaodong Yu, Kai-Wei Chang, Han Zhao, Yuan Tian:
Conditional Supervised Contrastive Learning for Fair Text Classification. CoRR abs/2205.11485 (2022) - [i35]Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, Guy Van den Broeck:
On the Paradox of Learning to Reason from Data. CoRR abs/2205.11502 (2022) - [i34]Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, Kai-Wei Chang:
GeoMLAMA: Geo-Diverse Commonsense Probing on Multilingual Pre-Trained Language Models. CoRR abs/2205.12247 (2022) - [i33]Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari:
Semantic Probabilistic Layers for Neuro-Symbolic Learning. CoRR abs/2206.00426 (2022) - [i32]Mozhdeh Rouhsedaghat, Masoud Monajatipoor, Kai-Wei Chang, C.-C. Jay Kuo, Iacopo Masi:
MAGIC: Mask-Guided Image Synthesis by Inverting a Quasi-Robust Classifier. CoRR abs/2209.11549 (2022) - [i31]Hritik Bansal, Da Yin, Masoud Monajatipoor, Kai-Wei Chang:
How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? CoRR abs/2210.15230 (2022) - [i30]Jianfeng Chi, Wasi Uddin Ahmad, Yuan Tian, Kai-Wei Chang:
PLUE: Language Understanding Evaluation Benchmark for Privacy Policies in English. CoRR abs/2212.10011 (2022) - 2021
- [c36]Wasi Uddin Ahmad, Xiao Bai, Soomin Lee, Kai-Wei Chang:
Select, Extract and Generate: Neural Keyphrase Generation with Layer-wise Coverage Attention. ACL/IJCNLP (1) 2021: 1389-1404 - [c35]Wasi Uddin Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang:
Intent Classification and Slot Filling for Privacy Policies. ACL/IJCNLP (1) 2021: 4402-4417 - [c34]Wasi Uddin Ahmad, Haoran Li, Kai-Wei Chang, Yashar Mehdad:
Syntax-augmented Multilingual BERT for Cross-lingual Transfer. ACL/IJCNLP (1) 2021: 4538-4554 - [c33]Kuan-Hao Huang, Kai-Wei Chang:
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs. EACL 2021: 1022-1033 - [c32]Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang:
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. EMNLP (1) 2021: 1968-1994 - [c31]Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Retrieval Augmented Code Generation and Summarization. EMNLP (Findings) 2021: 2719-2734 - [c30]Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C.-C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang:
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. ICCVW 2021: 3327-3336 - [c29]Tao Meng, Kai-Wei Chang:
An Integer Linear Programming Framework for Mining Constraints from Data. ICML 2021: 7619-7631 - [c28]James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang:
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models. NAACL-HLT 2021: 1372-1379 - [c27]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Unified Pre-training for Program Understanding and Generation. NAACL-HLT 2021: 2655-2668 - [c26]Ankith Uppunda, Susan D. Cochran, Jacob G. Foster, Alina Arseniev-Koehler, Vickie M. Mays, Kai-Wei Chang:
Adapting Coreference Resolution for Processing Violent Death Narratives. NAACL-HLT 2021: 4553-4559 - [c25]Md. Rizwan Parvez, Kai-Wei Chang:
Evaluating the Values of Sources in Transfer Learning. NAACL-HLT 2021: 5084-5116 - [c24]Kareem Ahmed, Tao Li, Thy Ton, Quan Guo, Kai-Wei Chang, Parisa Kordjamshidi, Vivek Srikumar, Guy Van den Broeck, Sameer Singh:
Pylon: A PyTorch Framework for Learning with Constraints. NeurIPS (Competition and Demos) 2021: 319-324 - [i29]Wasi Uddin Ahmad, Jianfeng Chi, Tu Le, Thomas Norton, Yuan Tian, Kai-Wei Chang:
Intent Classification and Slot Filling for Privacy Policies. CoRR abs/2101.00123 (2021) - [i28]Kuan-Hao Huang, Kai-Wei Chang:
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs. CoRR abs/2101.10579 (2021) - [i27]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Unified Pre-training for Program Understanding and Generation. CoRR abs/2103.06333 (2021) - [i26]Kareem Ahmed, Eric Wang, Guy Van den Broeck, Kai-Wei Chang:
Leveraging Unlabeled Data for Entity-Relation Extraction through Probabilistic Constraint Satisfaction. CoRR abs/2103.11062 (2021) - [i25]James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang:
Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models. CoRR abs/2104.05115 (2021) - [i24]Md. Rizwan Parvez, Kai-Wei Chang:
Evaluating the Values of Sources in Transfer Learning. CoRR abs/2104.12567 (2021) - [i23]Ankith Uppunda, Susan D. Cochran, Jacob G. Foster, Alina Arseniev-Koehler, Vickie M. Mays, Kai-Wei Chang:
Adapting Coreference Resolution for Processing Violent Death Narratives. CoRR abs/2104.14703 (2021) - [i22]Wasi Uddin Ahmad, Haoran Li, Kai-Wei Chang, Yashar Mehdad:
Syntax-augmented Multilingual BERT for Cross-lingual Transfer. CoRR abs/2106.02134 (2021) - [i21]Alina Arseniev-Koehler, Susan D. Cochran, Vickie M. Mays, Kai-Wei Chang, Jacob Gates Foster:
Integrating topic modeling and word embedding to characterize violent deaths. CoRR abs/2106.14365 (2021) - [i20]Masoud Monajatipoor, Mozhdeh Rouhsedaghat, Liunian Harold Li, Aichi Chien, C.-C. Jay Kuo, Fabien Scalzo, Kai-Wei Chang:
BERTHop: An Effective Vision-and-Language Model for Chest X-ray Disease Diagnosis. CoRR abs/2108.04938 (2021) - [i19]Wasi Uddin Ahmad, Md Golam Rahman Tushar, Saikat Chakraborty, Kai-Wei Chang:
AVATAR: A Parallel Corpus for Java-Python Program Translation. CoRR abs/2108.11590 (2021) - [i18]Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Retrieval Augmented Code Generation and Summarization. CoRR abs/2108.11601 (2021) - [i17]Sunipa Dev, Masoud Monajatipoor, Anaelia Ovalle, Arjun Subramonian, Jeff M. Phillips, Kai-Wei Chang:
Harms of Gender Exclusivity and Challenges in Non-Binary Representation in Language Technologies. CoRR abs/2108.12084 (2021) - 2020
- [c23]Yuchen Jiang, Zhenxin Xiao, Kai-Wei Chang:
Learning Directional Sentence-Pair Embedding for Natural Language Reasoning (Student Abstract). AAAI 2020: 13825-13826 - [c22]Fan Yin, Quanyu Long, Tao Meng, Kai-Wei Chang:
On the Robustness of Language Encoders against Grammatical Errors. ACL 2020: 3386-3403 - [c21]Da Yin, Tao Meng, Kai-Wei Chang:
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics. ACL 2020: 3695-3706 - [c20]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
A Transformer-based Approach for Source Code Summarization. ACL 2020: 4998-5007 - [c19]Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, Kai-Wei Chang:
PolicyQA: A Reading Comprehension Dataset for Privacy Policies. EMNLP (Findings) 2020: 743-749 - [c18]Everett Fall, Kai-Wei Chang, Liang-Gee Chen:
Dynamically Expanded CNN Array for Video Coding. ICIGP 2020: 85-90 - [c17]Kuan-Hao Huang, Chen Li, Kai-Wei Chang:
Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization. AACL/IJCNLP 2020: 609-615 - [i16]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
A Transformer-based Approach for Source Code Summarization. CoRR abs/2005.00653 (2020) - [i15]Da Yin, Tao Meng, Kai-Wei Chang:
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics. CoRR abs/2005.04114 (2020) - [i14]Fan Yin, Quanyu Long, Tao Meng, Kai-Wei Chang:
On the Robustness of Language Encoders against Grammatical Errors. CoRR abs/2005.05683 (2020) - [i13]Tao Meng, Kai-Wei Chang:
An Integer Linear Programming Framework for Mining Constraints from Data. CoRR abs/2006.10836 (2020) - [i12]Juan Carlo Rebanal, Yuqi Tang, Jordan Combitsis, Kai-Wei Chang, Xiang 'Anthony' Chen:
XAlgo: Explaining the Internal States of Algorithms via Question Answering. CoRR abs/2007.07407 (2020) - [i11]Wasi Uddin Ahmad, Xiao Bai, Soomin Lee, Kai-Wei Chang:
Select, Extract and Generate: Neural Keyphrase Generation with Syntactic Guidance. CoRR abs/2008.01739 (2020) - [i10]Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, Kai-Wei Chang:
PolicyQA: A Reading Comprehension Dataset for Privacy Policies. CoRR abs/2010.02557 (2020)
2010 – 2019
- 2019
- [j4]Dat Duong, Wasi Uddin Ahmad, Eleazar Eskin, Kai-Wei Chang, Jingyi Jessica Li:
Word and Sentence Embedding Tools to Measure Semantic Similarity of Gene Ontology Terms by Their Definitions. J. Comput. Biol. 26(1): 38-52 (2019) - [c16]Chen Xia, Haoxiang Zhang, Jacob Moghtader, Allen Wu, Kai-Wei Chang:
Visualizing Trends of Key Roles in News Articles. EMNLP/IJCNLP (3) 2019: 247-252 - [c15]Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang:
Context Attentive Document Ranking and Query Suggestion. SIGIR 2019: 385-394 - [i9]Everett Fall, Kai-Wei Chang, Liang-Gee Chen:
Dynamically Expanded CNN Array for Video Coding. CoRR abs/1905.04326 (2019) - [i8]Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang:
Context Attentive Document Ranking and Query Suggestion. CoRR abs/1906.02329 (2019) - [i7]Chen Xia, Haoxiang Zhang, Jacob Moghtader, Allen Wu, Kai-Wei Chang:
Visualizing Trends of Key Roles in News Articles. CoRR abs/1909.05449 (2019) - 2018
- [j3]Fu-Hau Hsu, Yanling Hwang, Kai-Wei Chang, Chia-Hao Lee, Chuan-Sheng Wang, Chuan-Kai Kao, Zhi-Yao Zhong:
Handover: A mechanism to improve the reliability and availability of network services for clients behind a network address translator. Comput. Electr. Eng. 67: 159-169 (2018) - [j2]Fu-Hau Hsu, Yanling Hwang, Chia-Hao Lee, Chieh-Ju Lin, Kai-Wei Chang, Chen-Chia Huang:
A Cloud-based Protection approach against JavaScript-based attacks to browsers. Comput. Electr. Eng. 68: 241-251 (2018) - [j1]Chiu-Hsien Wu, Guo-Jhen Jiang, Kai-Wei Chang, Zu-Yin Deng, Yu-Ning Li, Kuen-Lin Chen, Chien-Chung Jeng:
Analysis of the Sensing Properties of a Highly Stable and Reproducible Ozone Gas Sensor Based on Amorphous In-Ga-Zn-O Thin Film. Sensors 18(1): 163 (2018) - [c14]Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Building Language Models for Text with Named Entities. ACL (1) 2018: 2373-2383 - [c13]Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani B. Srivastava, Kai-Wei Chang:
Generating Natural Language Adversarial Examples. EMNLP 2018: 2890-2896 - [c12]Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang:
Multi-Task Learning for Document Ranking and Query Suggestion. ICLR (Poster) 2018 - [c11]Lu Feng, Mahsa Ghasemi, Kai-Wei Chang, Ufuk Topcu:
Counterexamples for Robotic Planning Explained in Structured Language. ICRA 2018: 7292-7297 - [c10]Wasi Uddin Ahmad, Kai-Wei Chang:
A Corpus to Learn Refer-to-as Relations for Nominals. LREC 2018 - [c9]Sarah Masud Preum, Md. Rizwan Parvez, Kai-Wei Chang, John A. Stankovic:
A Corpus of Drug Usage Guidelines Annotated with Type of Advice. LREC 2018 - [c8]Wasi Uddin Ahmad, Kai-Wei Chang, Hongning Wang:
Intent-aware Query Obfuscation for Privacy Protection in Personalized Web Search. SIGIR 2018: 285-294 - [i6]Lu Feng, Mahsa Ghasemi, Kai-Wei Chang, Ufuk Topcu:
Counterexamples for Robotic Planning Explained in Structured Language. CoRR abs/1803.08966 (2018) - [i5]Moustafa Alzantot, Yash Sharma, Ahmed Elgohary, Bo-Jhang Ho, Mani B. Srivastava, Kai-Wei Chang:
Generating Natural Language Adversarial Examples. CoRR abs/1804.07998 (2018) - [i4]Md. Rizwan Parvez, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Building Language Models for Text with Named Entities. CoRR abs/1805.04836 (2018) - [i3]Md. Rizwan Parvez, Tolga Bolukbasi, Kai-Wei Chang, Venkatesh Sarigrama:
Building a Robust Text Classifier on a Test-Time Budget. CoRR abs/1808.08270 (2018) - 2017
- [e2]Kai-Wei Chang, Ming-Wei Chang, Vivek Srikumar, Alexander M. Rush:
Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, SPNLP@EMNLP, Copenhagen, Denmark, September 2017. Association for Computational Linguistics 2017, ISBN 978-1-945626-93-7 [contents] - 2016
- [c7]Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang, Wen-tau Yih:
Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems. EMNLP 2016: 297-306 - [c6]Kai-Wei Chang, He He, Stéphane Ross, Hal Daumé III, John Langford:
A Credit Assignment Compiler for Joint Prediction. NIPS 2016: 1705-1713 - [e1]Kai-Wei Chang, Ming-Wei Chang, Alexander M. Rush, Vivek Srikumar:
Proceedings of the Workshop on Structured Prediction for NLP@EMNLP 2016, Austin, TX, USA, November 5, 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-29-6 [contents] - 2015
- [b1]Kai-Wei Chang:
Selective algorithms for large-scale classification and structured learning. University of Illinois Urbana-Champaign, USA, 2015 - [c5]Shu-Yen Lin, Jin-Yi Lin, Kai-Wei Chang, Cheng-Hung Huang:
Real-time data compression for thermal-controlled three-dimensional DRAM systems. GCCE 2015: 48-49 - [c4]Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daumé III, John Langford:
Learning to Search Better than Your Teacher. ICML 2015: 2058-2066 - [c3]Hal Daumé III, John Langford, Kai-Wei Chang, He He, Sudha Rao:
Hands-on Learning to Search for Structured Prediction. HLT-NAACL 2015: 1 - [i2]Kai-Wei Chang, Akshay Krishnamurthy, Alekh Agarwal, Hal Daumé III, John Langford:
Learning to Search Better Than Your Teacher. CoRR abs/1502.02206 (2015) - [i1]Kai-Wei Chang, He He, Hal Daumé III, John Langford:
Learning to Search for Dependencies. CoRR abs/1503.05615 (2015) - 2014
- [c2]Kai-Wei Chang, Wen-tau Yih, Bishan Yang, Christopher Meek:
Typed Tensor Decomposition of Knowledge Bases for Relation Extraction. EMNLP 2014: 1568-1579 - 2013
- [c1]Kai-Wei Chang, Wen-tau Yih, Christopher Meek:
Multi-Relational Latent Semantic Analysis. EMNLP 2013: 1602-1612
Coauthor Index
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