Zexue He
17 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
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Machine Learning
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Learning Types · Deep Learning
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Learning Types · Machine Learning
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Generation
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Data Science & Analytics
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Healthcare & Medicine
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large language model
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text generation
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bias mitigation
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zero-shot learning
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data augmentation
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contrastive learning
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text rewriting
(2)
interpretable prediction
(2)
natural language processing
(2)
sensitive attribute
(2)
transfer learning
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self-supervised learning
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attention mechanism
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weakly supervised learning
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feature selection
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domain generalization
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text classification
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word sense disambiguation
(1)
few-shot learning
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natural language inference
(1)
Papers
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
ACL 2026
Large Scale Knowledge Washing
ICLR 2025
M+: Extending MemoryLLM with Scalable Long-Term Memory
ICML 2025
Cognitive Bias in Decision-Making with LLMs
EMNLP 2024
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation
AAAI 2024
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions
EMNLP 2023
Learning Concise and Descriptive Attributes for Visual Recognition
ICCV 2023
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation
EMNLP 2023
“Nothing Abnormal”: Disambiguating Medical Reports via Contrastive Knowledge Infusion
AAAI 2023
Synthetic Pre-Training Tasks for Neural Machine Translation
ACL 2023
Targeted Data Generation: Finding and Fixing Model Weaknesses
ACL 2023
Controlling Bias Exposure for Fair Interpretable Predictions
EMNLP 2022
Leashing the Inner Demons: Self-Detoxification for Language Models
AAAI 2022
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding
EMNLP 2021
Weakly Supervised Contrastive Learning for Chest X-Ray Report Generation
EMNLP 2021
Learning Robust Representations by Projecting Superficial Statistics Out
ICLR 2019
Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention
EMNLP 2018