Zexue He

Orcid: 0009-0001-9733-0545

According to our database1, Zexue He authored at least 27 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Towards LifeSpan Cognitive Systems.
CoRR, 2024

WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback.
CoRR, 2024

Large Scale Knowledge Washing.
CoRR, 2024

Cognitive Bias in High-Stakes Decision-Making with LLMs.
CoRR, 2024

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory.
CoRR, 2024

LVCHAT: Facilitating Long Video Comprehension.
CoRR, 2024

InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization.
Proceedings of the ACM on Web Conference 2024, 2024

Cognitive Bias in Decision-Making with LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Farzi Data: Autoregressive Data Distillation.
CoRR, 2023

Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models.
CoRR, 2023

Learning Concise and Descriptive Attributes for Visual Recognition.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions.
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Targeted Data Generation: Finding and Fixing Model Weaknesses.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

"Nothing Abnormal": Disambiguating Medical Reports via Contrastive Knowledge Infusion.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Controlling Bias Exposure for Fair Interpretable Predictions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Leashing the Inner Demons: Self-Detoxification for Language Models.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation.
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.
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.
Sci. China Inf. Sci., 2019

Learning Robust Representations by Projecting Superficial Statistics Out.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
A Large-Scale Study of Mobile Search Examination Behavior.
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.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Understanding Reading Attention Distribution during Relevance Judgement.
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.
Proceedings of the 2018 Conference on Human Information Interaction and Retrieval, 2018


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