Zexue He

According to our database, Zexue He authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Cognitive Bias in High-Stakes Decision-Making with LLMs.

Jessica Maria Echterhoff, Yao Liu, Abeer Alessa, Julian J. McAuley, Zexue He

CoRR, 2024

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory.

Zexue He, Leonid Karlinsky, Donghyun Kim, Julian J. McAuley, Dmitry Krotov, Rogério Feris

CoRR, 2024

LVCHAT: Facilitating Long Video Comprehension.

Yu Wang, Zeyuan Zhang, Julian J. McAuley, Zexue He

CoRR, 2024

InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization.

Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley

CoRR, 2024

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation.

Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian J. McAuley

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Farzi Data: Autoregressive Data Distillation.

Noveen Sachdeva, Zexue He, Wang-Cheng Kang, Jianmo Ni, Derek Zhiyuan Cheng, Julian J. McAuley

CoRR, 2023

Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models.

An Yan, Yu Wang, Yiwu Zhong, Zexue He, Petros Karypis, Zihan Wang, Chengyu Dong, Amilcare Gentili, Chun-Nan Hsu, Jingbo Shang, Julian J. McAuley

CoRR, 2023

Learning Concise and Descriptive Attributes for Visual Recognition.

An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Wang, Jingbo Shang, Julian J. McAuley

CoRR, 2023

Learning Concise and Descriptive Attributes for Visual Recognition.

An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions.

Bodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation.

Zexue He, Yu Wang, An Yan, Yao Liu, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Targeted Data Generation: Finding and Fixing Model Weaknesses.

Zexue He, Marco Túlio Ribeiro, Fereshte Khani

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Synthetic Pre-Training Tasks for Neural Machine Translation.

Zexue He, Graeme Blackwood, Rameswar Panda, Julian J. McAuley, Rogério Feris

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion.

Zexue He, An Yan, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Controlling Bias Exposure for Fair Interpretable Predictions.

Zexue He, Yu Wang, Julian J. McAuley, Bodhisattwa Prasad Majumder

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Leashing the Inner Demons: Self-Detoxification for Language Models.

Canwen Xu, Zexue He, Zhankui He, Julian J. McAuley

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation.

An Yan, Zexue He, Xing Lu, Jiang Du, Eric Y. Chang, Amilcare Gentili, Julian J. McAuley, Chun-Nan Hsu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding.

Zexue He, Bodhisattwa Prasad Majumder, Julian J. McAuley

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2019

Rapid and high-quality 3D fusion of heterogeneous CT and MRI data for the human brain.

Zexue He, Li Zhu, Minjie Li, Jinyao Li, Yiran Chen, Yanlin Luo

Sci. China Inf. Sci., 2019

Learning Robust Representations by Projecting Superficial Statistics Out.

Haohan Wang, Zexue He, Zachary C. Lipton, Eric P. Xing

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

A Large-Scale Study of Mobile Search Examination Behavior.

Xiaochuan Wang, Ning Su, Zexue He, Yiqun Liu, Shaoping Ma

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention.

Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui, Baobao Chang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Understanding Reading Attention Distribution during Relevance Judgement.

Xiangsheng Li, Yiqun Liu, Jiaxin Mao, Zexue He, Min Zhang, Shaoping Ma

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

A Two-Stage Model for User's Examination Behavior in Mobile Search.

Jiaxin Mao, Yiqun Liu, Noriko Kando, Zexue He, Min Zhang, Shaoping Ma

Proceedings of the 2018 Conference on Human Information Interaction and Retrieval, 2018