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2020 – today
- 2022
[c119]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- [c118]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 - [c117]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 - [c116]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 - [c115]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 - [c114]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 - [c113]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 - [c112]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 - [c111]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 - [c110]Chien-yu Huang, Kai-Wei Chang, Hung-Yi Lee:
Toward Degradation-Robust Voice Conversion. ICASSP 2022: 6777-6781 - [c109]Vijit Malik, Sunipa Dev, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang:
Socially Aware Bias Measurements for Hindi Language Representations. NAACL-HLT 2022: 1041-1052 - [c108]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 - [i117]Kareem Ahmed, Eric Wang, Kai-Wei Chang, Guy Van den Broeck:
Neuro-Symbolic Entropy Regularization. CoRR abs/2201.11250 (2022) - [i116]Da Yin, Li Dong, Hao Cheng, Xiaodong Liu, Kai-Wei Chang, Furu Wei, Jianfeng Gao:
A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models. CoRR abs/2202.08772 (2022) - [i115]Di Wu, Wasi Uddin Ahmad, Sunipa Dev, Kai-Wei Chang:
Representation Learning for Resource-Constrained Keyphrase Generation. CoRR abs/2203.08118 (2022) - [i114]Kuan-Hao Huang, I-Hung Hsu, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng:
Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction. CoRR abs/2203.08308 (2022) - [i113]Satyapriya Krishna, Rahul Gupta, Apurv Verma, Jwala Dhamala, Yada Pruksachatkun, Kai-Wei Chang:
Measuring Fairness of Text Classifiers via Prediction Sensitivity. CoRR abs/2203.08670 (2022) - [i112]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. CoRR abs/2203.12574 (2022) - [i111]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. CoRR abs/2203.13928 (2022) - [i110]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. CoRR abs/2203.16773 (2022) - [i109]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) - [i108]Zhecan Wang, Noel Codella, Yen-Chun Chen, Luowei Zhou, Xiyang Dai, Bin Xiao, Jianwei Yang, Haoxuan You, Kai-Wei Chang, Shih-Fu Chang, Lu Yuan:
Multimodal Adaptive Distillation for Leveraging Unimodal Encoders for Vision-Language Tasks. CoRR abs/2204.10496 (2022) - [i107]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) - [i106]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) - [i105]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) - [i104]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) - [i103]Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng:
GENEVA: Pushing the Limit of Generalizability for Event Argument Extraction with 100+ Event Types. CoRR abs/2205.12505 (2022) - [i102]I-Hung Hsu, Kuan-Hao Huang, Shuning Zhang, Wenxin Cheng, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng:
A Simple and Unified Tagging Model with Priming for Relational Structure Predictions. CoRR abs/2205.12585 (2022) - [i101]Jingnong Qu, Liunian Harold Li, Jieyu Zhao, Sunipa Dev, Kai-Wei Chang:
DisinfoMeme: A Multimodal Dataset for Detecting Meme Intentionally Spreading Out Disinformation. CoRR abs/2205.12617 (2022) - [i100]Tao Meng, Sidi Lu, Nanyun Peng, Kai-Wei Chang:
Controllable Text Generation with Neurally-Decomposed Oracle. CoRR abs/2205.14219 (2022) - [i99]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) - [i98]Cenyuan Zhang, Xiang Zhou, Yixin Wan, Xiaoqing Zheng, Kai-Wei Chang, Cho-Jui Hsieh:
Improving the Adversarial Robustness of NLP Models by Information Bottleneck. CoRR abs/2206.05511 (2022) - 2021
- [c107]Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang:
GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction. AAAI 2021: 12462-12470 - [c106]Yichao Zhou, Yu Yan, Rujun Han, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global Inference. AAAI 2021: 14647-14655 - [c105]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 - [c104]Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang:
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification. ACL/IJCNLP (Findings) 2021: 3320-3331 - [c103]Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang:
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? ACL/IJCNLP (Findings) 2021: 4158-4164 - [c102]Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng:
Societal Biases in Language Generation: Progress and Challenges. ACL/IJCNLP (1) 2021: 4275-4293 - [c101]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 - [c100]Wasi Uddin Ahmad, Haoran Li, Kai-Wei Chang, Yashar Mehdad:
Syntax-augmented Multilingual BERT for Cross-lingual Transfer. ACL/IJCNLP (1) 2021: 4538-4554 - [c99]Yi Zhou, Xiaoqing Zheng, Cho-Jui Hsieh, Kai-Wei Chang, Xuanjing Huang:
Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble. ACL/IJCNLP (1) 2021: 5482-5492 - [c98]Kuan-Hao Huang
, Kai-Wei Chang:
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs. EACL 2021: 1022-1033 - [c97]Liping Yuan, Xiaoqing Zheng, Yi Zhou, Cho-Jui Hsieh, Kai-Wei Chang:
On the Transferability of Adversarial Attacks against Neural Text Classifier. EMNLP (1) 2021: 1612-1625 - [c96]Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang:
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training. EMNLP (1) 2021: 1684-1697 - [c95]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 - [c94]Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, Kai-Wei Chang:
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning. EMNLP (1) 2021: 2115-2129 - [c93]Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Retrieval Augmented Code Generation and Summarization. EMNLP (Findings) 2021: 2719-2734 - [c92]Zongyi Li, Jianhan Xu, Jiehang Zeng, Linyang Li, Xiaoqing Zheng, Qi Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. EMNLP (1) 2021: 3137-3147 - [c91]Ziniu Hu, Yizhou Sun, Kai-Wei Chang:
Relation-Guided Pre-Training for Open-Domain Question Answering. EMNLP (Findings) 2021: 3431-3448 - [c90]Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta:
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. FAccT 2021: 862-872 - [c89]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 - [c88]Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
CREATe: Clinical Report Extraction and Annotation Technology. ICDE 2021: 2677-2680 - [c87]Tao Meng, Kai-Wei Chang:
An Integer Linear Programming Framework for Mining Constraints from Data. ICML 2021: 7619-7631 - [c86]Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng:
"Nice Try, Kiddo": Investigating Ad Hominems in Dialogue Responses. NAACL-HLT 2021: 750-767 - [c85]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 - [c84]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Unified Pre-training for Program Understanding and Generation. NAACL-HLT 2021: 2655-2668 - [c83]Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation. NAACL-HLT 2021: 3899-3916 - [c82]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 - [c81]Md. Rizwan Parvez, Kai-Wei Chang:
Evaluating the Values of Sources in Transfer Learning. NAACL-HLT 2021: 5084-5116 - [c80]Liunian Harold Li, Haoxuan You, Zhecan Wang, Alireza Zareian, Shih-Fu Chang, Kai-Wei Chang:
Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions. NAACL-HLT 2021: 5339-5350 - [i97]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) - [i96]Kuan-Hao Huang, Kai-Wei Chang:
Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs. CoRR abs/2101.10579 (2021) - [i95]Jwala Dhamala, Tony Sun, Varun Kumar, Satyapriya Krishna, Yada Pruksachatkun, Kai-Wei Chang, Rahul Gupta:
BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation. CoRR abs/2101.11718 (2021) - [i94]Yichao Zhou, Wei-Ting Chen, Bowen Zhang, David Lee, J. Harry Caufield, Kai-Wei Chang, Yizhou Sun, Peipei Ping, Wei Wang:
CREATe: Clinical Report Extraction and Annotation Technology. CoRR abs/2103.00562 (2021) - [i93]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Unified Pre-training for Program Understanding and Generation. CoRR abs/2103.06333 (2021) - [i92]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) - [i91]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) - [i90]Chong Zhang, Jieyu Zhao, Huan Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Double Perturbation: On the Robustness of Robustness and Counterfactual Bias Evaluation. CoRR abs/2104.05232 (2021) - [i89]Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang:
Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training. CoRR abs/2104.08645 (2021) - [i88]Emily Sheng, Josh Arnold, Zhou Yu, Kai-Wei Chang, Nanyun Peng:
Revealing Persona Biases in Dialogue Systems. CoRR abs/2104.08728 (2021) - [i87]Fan Yin, Zhouxing Shi, Cho-Jui Hsieh, Kai-Wei Chang:
On the Faithfulness Measurements for Model Interpretations. CoRR abs/2104.08782 (2021) - [i86]Md. Rizwan Parvez, Kai-Wei Chang:
Evaluating the Values of Sources in Transfer Learning. CoRR abs/2104.12567 (2021) - [i85]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) - [i84]Yi-Chen Chen, Po-Han Chi, Shu-Wen Yang, Kai-Wei Chang, Jheng-Hao Lin, Sung-Feng Huang, Da-Rong Liu, Chi-Liang Liu, Cheng-Kuang Lee, Hung-yi Lee:
SpeechNet: A Universal Modularized Model for Speech Processing Tasks. CoRR abs/2105.03070 (2021) - [i83]Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng:
Societal Biases in Language Generation: Progress and Challenges. CoRR abs/2105.04054 (2021) - [i82]Jieyu Zhao, Daniel Khashabi, Tushar Khot, Ashish Sabharwal, Kai-Wei Chang:
Ethical-Advice Taker: Do Language Models Understand Natural Language Interventions? CoRR abs/2106.01465 (2021) - [i81]Wasi Uddin Ahmad, Haoran Li, Kai-Wei Chang, Yashar Mehdad:
Syntax-augmented Multilingual BERT for Cross-lingual Transfer. CoRR abs/2106.02134 (2021) - [i80]Yada Pruksachatkun, Satyapriya Krishna, Jwala Dhamala, Rahul Gupta, Kai-Wei Chang:
Does Robustness Improve Fairness? Approaching Fairness with Word Substitution Robustness Methods for Text Classification. CoRR abs/2106.10826 (2021) - [i79]Yichao Zhou, Chelsea Ju, J. Harry Caufield, Kevin Shih, Calvin Yu-Chian Chen, Yizhou Sun, Kai-Wei Chang, Peipei Ping, Wei Wang:
Clinical Named Entity Recognition using Contextualized Token Representations. CoRR abs/2106.12608 (2021) - [i78]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) - [i77]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? CoRR abs/2107.06383 (2021) - [i76]Sunipa Dev, Emily Sheng, Jieyu Zhao, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Nanyun Peng, Kai-Wei Chang:
What do Bias Measures Measure? CoRR abs/2108.03362 (2021) - [i75]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) - [i74]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) - [i73]Md. Rizwan Parvez, Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
Retrieval Augmented Code Generation and Summarization. CoRR abs/2108.11601 (2021) - [i72]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) - [i71]I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng:
Event Extraction as Natural Language Generation. CoRR abs/2108.12724 (2021) - [i70]Zongyi Li, Jianhan Xu, Jiehang Zeng, Linyang Li, Xiaoqing Zheng, Qi Zhang, Kai-Wei Chang, Cho-Jui Hsieh:
Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution. CoRR abs/2108.12777 (2021) - [i69]Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, Kai-Wei Chang:
Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning. CoRR abs/2109.06860 (2021) - [i68]Ziniu Hu, Yizhou Sun, Kai-Wei Chang:
Relation-Guided Pre-Training for Open-Domain Question Answering. CoRR abs/2109.10346 (2021) - [i67]Chien-yu Huang, Kai-Wei Chang, Hung-yi Lee:
Toward Degradation-Robust Voice Conversion. CoRR abs/2110.07537 (2021) - [i66]Vijit Malik, Sunipa Dev, Akihiro Nishi, Nanyun Peng, Kai-Wei Chang:
Socially Aware Bias Measurements for Hindi Language Representations. CoRR abs/2110.07871 (2021) - [i65]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. CoRR abs/2112.03857 (2021) - [i64]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. CoRR abs/2112.08587 (2021) - 2020
- [j14]Ching-Pei Lee, Kai-Wei Chang:
Distributed block-diagonal approximation methods for regularized empirical risk minimization. Mach. Learn. 109(4): 813-852 (2020) - [c79]Yuchen Jiang, Zhenxin Xiao, Kai-Wei Chang:
Learning Directional Sentence-Pair Embedding for Natural Language Reasoning (Student Abstract). AAAI 2020: 13825-13826 - [c78]Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang:
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. ACL 2020: 813-822 - [c77]Jieyu Zhao, Subhabrata Mukherjee, Saghar Hosseini, Kai-Wei Chang, Ahmed Hassan Awadallah:
Gender Bias in Multilingual Embeddings and Cross-Lingual Transfer. ACL 2020: 2896-2907 - [c76]Shengyu Jia, Tao Meng, Jieyu Zhao, Kai-Wei Chang:
Mitigating Gender Bias Amplification in Distribution by Posterior Regularization. ACL 2020: 2936-2942 - [c75]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:
Towards Understanding Gender Bias in Relation Extraction. ACL 2020: 2943-2953 - [c74]Fan Yin, Quanyu Long, Tao Meng, Kai-Wei Chang:
On the Robustness of Language Encoders against Grammatical Errors. ACL 2020: 3386-3403 - [c73]Da Yin, Tao Meng, Kai-Wei Chang:
SentiBERT: A Transferable Transformer-Based Architecture for Compositional Sentiment Semantics. ACL 2020: 3695-3706 - [c72]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
A Transformer-based Approach for Source Code Summarization. ACL 2020: 4998-5007 - [c71]Liunian Harold Li, Mark Yatskar, Da Yin, Cho-Jui Hsieh, Kai-Wei Chang:
What Does BERT with Vision Look At? ACL 2020: 5265-5275 - [c70]Wasi Uddin Ahmad, Jianfeng Chi, Yuan Tian, Kai-Wei Chang:
PolicyQA: A Reading Comprehension Dataset for Privacy Policies. EMNLP (Findings) 2020: 743-749 - [c69]Jieyu Zhao, Kai-Wei Chang:
LOGAN: Local Group Bias Detection by Clustering. EMNLP (1) 2020: 1968-1977 - [c68]Lu Liu, Yi Zhou, Jianhan Xu, Xiaoqing Zheng, Kai-Wei Chang, Xuanjing Huang:
Cross-Lingual Dependency Parsing by POS-Guided Word Reordering. EMNLP (Findings) 2020: 2938-2948 - [c67]Emily Sheng, Kai-Wei Chang, Prem Natarajan, Nanyun Peng:
Towards Controllable Biases in Language Generation. EMNLP (Findings) 2020: 3239-3254 - [c66]Everett Fall, Kai-Wei Chang, Liang-Gee Chen:
Dynamically Expanded CNN Array for Video Coding. ICIGP 2020: 85-90 - [c65]Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh:
Robustness Verification for Transformers. ICLR 2020 - [c64]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 - [c63]Ziniu Hu, Yuxiao Dong, Kuansan Wang, Kai-Wei Chang, Yizhou Sun:
GPT-GNN: Generative Pre-Training of Graph Neural Networks. KDD 2020: 1857-1867 - [c62]Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh:
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond. NeurIPS 2020 - [i63]Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh:
Robustness Verification for Transformers. CoRR abs/2002.06622 (2020) - [i62]Kaidi Xu, Zhouxing Shi, Huan Zhang, Minlie Huang, Kai-Wei Chang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh:
Automatic Perturbation Analysis on General Computational Graphs. CoRR abs/2002.12920 (2020) - [i61]Yichao Zhou, Jyun-Yu Jiang, Jieyu Zhao, Kai-Wei Chang, Wei Wang:
"The Boating Store Had Its Best Sail Ever": Pronunciation-attentive Contextualized Pun Recognition. CoRR abs/2004.14457 (2020) - [i60]Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, Nanyun Peng:
Towards Controllable Biases in Language Generation. CoRR abs/2005.00268 (2020) - [i59]Wasi Uddin Ahmad, Saikat Chakraborty, Baishakhi Ray, Kai-Wei Chang:
A Transformer-based Approach for Source Code Summarization. CoRR abs/2005.00653 (2020) - [i58]