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2020 – today
- 2023
[c171]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- [c170]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 - [c169]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: 778-793 - [c168]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: 1373-1386 - [c167]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 - [c166]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 - [c165]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: 3664-3686 - [c164]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. ACL (1) 2023: 8047-8061 - [c163]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 - [c162]Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang:
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation. ACL (Findings) 2023: 10372-10380 - [c161]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: 11454-11465 - [c160]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: 12917-12932 - [c159]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: 14367-14388 - [c158]Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, Kai-Wei Chang:
A Survey of Deep Learning for Mathematical Reasoning. ACL (1) 2023: 14605-14631 - [c157]Wenpeng Yin, Muhao Chen, Ben Zhou, Qiang Ning, Kai-Wei Chang, Dan Roth:
Indirectly Supervised Natural Language Processing. ACL (tutorial) 2023: 32-40 - [c156]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: 496-511 - [c155]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
Semantic Strengthening of Neuro-Symbolic Learning. AISTATS 2023: 10252-10261 - [c154]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: 668-681 - [c153]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 - [c152]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: 23369-23379 - [c151]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 - [c150]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 - [c149]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: 1246-1266 - [c148]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: 1-5 - [c147]Pan Lu, Liang Qiu, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Tanmay Rajpurohit, Peter Clark, Ashwin Kalyan:
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning. ICLR 2023 - [c146]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 - [c145]Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari:
Semantic Probabilistic Layers for Neuro-Symbolic Learning. NeSy 2023: 413 - [c144]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: 1289-1290 - [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 - [i187]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) - [i186]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 abs/2302.12757 (2023) - [i185]Kareem Ahmed, Kai-Wei Chang, Guy Van den Broeck:
Semantic Strengthening of Neuro-Symbolic Learning. CoRR abs/2302.14207 (2023) - [i184]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 abs/2303.00733 (2023) - [i183]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) - [i182]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) - [i181]Di Wu, Da Yin, Kai-Wei Chang:
KPEval: Towards Fine-grained Semantic-based Evaluation of Keyphrase Extraction and Generation Systems. CoRR abs/2303.15422 (2023) - [i180]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) - [i179]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 abs/2304.09842 (2023) - [i178]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 abs/2305.09941 (2023) - [i177]Oscar Chew, Kuan-Hao Huang, Kai-Wei Chang, Hsuan-Tien Lin:
Understanding and Mitigating Spurious Correlations in Text Classification. CoRR abs/2305.13654 (2023) - [i176]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 abs/2305.14327 (2023) - [i175]Amita Kamath, Jack Hessel, Kai-Wei Chang:
Text encoders are performance bottlenecks in contrastive vision-language models. CoRR abs/2305.14897 (2023) - [i174]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 abs/2305.14985 (2023) - [i173]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 abs/2305.16585 (2023) - [i172]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) - [i171]Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang:
PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation. CoRR abs/2305.16701 (2023) - [i170]Yu-Hsiang Wang, Huang-Yu Chen, Kai-Wei Chang, Winston H. Hsu, Hung-yi Lee:
MiniSUPERB: Lightweight Benchmark for Self-supervised Speech Models. CoRR abs/2305.19011 (2023) - [i169]Zhouxing Shi, Yihan Wang, Fan Yin, Xiangning Chen, Kai-Wei Chang, Cho-Jui Hsieh:
Red Teaming Language Model Detectors with Language Models. CoRR abs/2305.19713 (2023) - [i168]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) - [i167]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) - [i166]Haibin Wu, Kai-Wei Chang, Yuan-Kuei Wu, Hung-yi Lee:
SpeechGen: Unlocking the Generative Power of Speech Language Models with Prompts. CoRR abs/2306.02207 (2023) - [i165]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 abs/2306.05552 (2023) - [i164]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 abs/2306.08129 (2023) - [i163]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) - [i162]Liunian Harold Li, Zi-Yi Dou, Nanyun Peng, Kai-Wei Chang:
DesCo: Learning Object Recognition with Rich Language Descriptions. CoRR abs/2306.14060 (2023) - [i161]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 abs/2307.00862 (2023) - [i160]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 abs/2308.04265 (2023) - [i159]Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng:
Contextual Label Projection for Cross-Lingual Structure Extraction. CoRR abs/2309.08943 (2023) - [i158]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 abs/2309.09510 (2023) - [i157]Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen:
Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer. CoRR abs/2309.10891 (2023) - [i156]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 abs/2309.14324 (2023) - [i155]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 abs/2310.02255 (2023) - [i154]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 abs/2310.02971 (2023) - [i153]Yixin Wan, Jieyu Zhao, Aman Chadha, Nanyun Peng, Kai-Wei Chang:
Are Personalized Stochastic Parrots More Dangerous? Evaluating Persona Biases in Dialogue Systems. CoRR abs/2310.05280 (2023) - [i152]Di Wu, Wasi Uddin Ahmad, Kai-Wei Chang:
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models. CoRR abs/2310.06374 (2023) - [i151]Mingyu Derek Ma, Jiun-Yu Kao, Arpit Gupta, Yu-Hsiang Lin, Wenbo Zhao, Tagyoung Chung, Wei Wang, Kai-Wei Chang, Nanyun Peng:
Mitigating Bias for Question Answering Models by Tracking Bias Influence. CoRR abs/2310.08795 (2023) - [i150]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 abs/2310.09219 (2023) - [i149]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) - [i148]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 abs/2310.12344 (2023) - [i147]Ming-Hao Hsu, Kai-Wei Chang, Shang-Wen Li, Hung-yi Lee:
An Exploration of In-Context Learning for Speech Language Model. CoRR abs/2310.12477 (2023) - [i146]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 abs/2310.14670 (2023) - [i145]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) - [i144]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 abs/2311.00288 (2023) - [i143]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 abs/2311.04978 (2023) - [i142]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 abs/2311.05657 (2023) - [i141]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 abs/2311.09473 (2023) - [i140]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 abs/2311.09562 (2023) - [i139]Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover:
VideoCon: Robust Video-Language Alignment via Contrast Captions. CoRR abs/2311.10111 (2023) - [i138]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) - 2022
- [c143]Zhecan Wang, Haoxuan You, Liunian Harold Li, Alireza Zareian, Suji Park, Yiqing Liang, Kai-Wei Chang, Shih-Fu Chang:
SGEITL: Scene Graph Enhanced Image-Text Learning for Visual Commonsense Reasoning. AAAI 2022: 5914-5922 - [c142]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 - [c141]Yang Trista Cao, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta, Varun Kumar, Jwala Dhamala, Aram Galstyan:
On the Intrinsic and Extrinsic Fairness Evaluation Metrics for Contextualized Language Representations. ACL (2) 2022: 561-570 - [c140]Umang Gupta, Jwala Dhamala, Varun Kumar, Apurv Verma, Yada Pruksachatkun, Satyapriya Krishna, Rahul Gupta, Kai-Wei Chang, Greg Ver Steeg, Aram Galstyan:
Mitigating Gender Bias in Distilled Language Models via Counterfactual Role Reversal. ACL (Findings) 2022: 658-678 - [c139]Jianhan Xu, Cenyuan Zhang, Xiaoqing Zheng, Linyang Li, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang:
Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples. ACL (Findings) 2022: 1694-1707 - [c138]Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang:
On the Sensitivity and Stability of Model Interpretations in NLP. ACL (1) 2022: 2631-2647 - [c137]Cenyuan Zhang, Xiang Zhou, Yixin Wan, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh:
Improving the Adversarial Robustness of NLP Models by Information Bottleneck. ACL (Findings) 2022: 3588-3598 - [c136]Kuan-Hao Huang, I-Hung Hsu, Prem Natarajan, Kai-Wei Chang, Nanyun Peng:
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction. ACL (1) 2022: 4633-4646 - [c135]Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang:
Measuring Fairness of Text Classifiers via Prediction Sensitivity. ACL (1) 2022: 5830-5842 - [c134]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:
Grounded Language-Image Pre-training. CVPR 2022: 10955-10965 - [c133]Di Wu, Wasi Uddin Ahmad, Sunipa Dev, Kai-Wei Chang:
Representation Learning for Resource-Constrained Keyphrase Generation. EMNLP (Findings) 2022: 700-716 - [c132]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 - [c131]Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan:
Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations. EMNLP (Findings) 2022: 1547-1554 - [c130]Jieyu Zhao, Xuezhi Wang, Yao Qin, Jilin Chen, Kai-Wei Chang:
Investigating Ensemble Methods for Model Robustness Improvement of Text Classifiers. EMNLP (Findings) 2022: 1634-1640 - [c129]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 - [c128]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 - [c127]Haoxuan You, Rui Sun, Zhecan Wang, Kai-Wei Chang, Shih-Fu Chang:
Find Someone Who: Visual Commonsense Understanding in Human-Centric Grounding. EMNLP (Findings) 2022: 5444-5454 - [c126]Fan Yin, Yao Li, Cho-Jui Hsieh, Kai-Wei Chang:
ADDMU: Detection of Far-Boundary Adversarial Examples with Data and Model Uncertainty Estimation. EMNLP 2022: 6567-6584 - [c125]Jianhan Xu, Linyang Li, Jiping Zhang, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh, Xuanjing Huang:
Weight Perturbation as Defense against Adversarial Word Substitutions. EMNLP (Findings) 2022: 7054-7063 - [c124]Zhecan Wang, Haoxuan You, Yicheng He, Wenhao Li, Kai-Wei Chang, Shih-Fu Chang:
Understanding ME? Multimodal Evaluation for Fine-grained Visual Commonsense. EMNLP 2022: 9212-9224 - [c123]Ziniu Hu, Yichong Xu, Wenhao Yu, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Kai-Wei Chang, Yizhou Sun:
Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. EMNLP 2022: 9562-9581 - [c122]Chien-yu Huang, Kai-Wei Chang, Hung-Yi Lee:
Toward Degradation-Robust Voice Conversion. ICASSP 2022: 6777-6781 - [c121]Sheng Shen, Liunian Harold Li, Hao Tan, Mohit Bansal, Anna Rohrbach, Kai-Wei Chang, Zhewei Yao, Kurt Keutzer:
How Much Can CLIP Benefit Vision-and-Language Tasks? ICLR 2022 - [c120]Sunipa Dev, Emily Sheng, Jieyu Zhao, Aubrie Amstutz, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang:
On Measures of Biases and Harms in NLP. AACL/IJCNLP (Findings) 2022: 246-267 - [c119]Kai-Wei Chang, Wei-Cheng Tseng, Shang-Wen Li, Hung-yi Lee:
An Exploration of Prompt Tuning on Generative Spoken Language Model for Speech Processing Tasks. INTERSPEECH 2022: 5005-5009 - [c118]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 - [c117]Vijit Malik, Sunipa Dev, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang:
Socially Aware Bias Measurements for Hindi Language Representations. NAACL-HLT 2022: 1041-1052 - [c116]I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng:
DEGREE: A Data-Efficient Generation-Based Event Extraction Model. NAACL-HLT 2022: 1890-1908 - [c115]Kareem Ahmed, Stefano Teso, Kai-Wei Chang, Guy Van den Broeck, Antonio Vergari:
Semantic Probabilistic Layers for Neuro-Symbolic Learning. NeurIPS 2022 - [c114]