Zexue He
17 papers · 2018–2026 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Cross-Pollinator (12) π Interdisciplinary Bridge π Academic Marathon (7) π Conference Polyglot (6) π Renaissance Researcher (7)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(48)
π§
Keyword Pioneer
π€
Dynamic Duo
(13)
π
Keyword Champion
(2)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(71)
π₯
Unstoppable
(5)
π
Trend Setter
π
Century Club
(16)
Conferences
EMNLP (7)
AAAI (3)
ACL (3)
ICLR (2)
ICCV (1)
ICML (1)
Top co-authors
Keywords
bias mitigation
(4)
large language model
(4)
text generation
(3)
contrastive learning
(2)
text rewriting
(2)
data augmentation
(2)
sensitive attribute
(2)
natural language processing
(2)
interpretable prediction
(2)
zero-shot learning
(2)
sentiment analysis
(1)
weakly supervised learning
(1)
knowledge distillation
(1)
preference alignment
(1)
attention mechanism
(1)
domain adaptation
(1)
self-supervised learning
(1)
cross-lingual transfer
(1)
feature selection
(1)
transfer learning
(1)
Papers
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback
ACL 2026
M+: Extending MemoryLLM with Scalable Long-Term Memory
ICML 2025
Large Scale Knowledge Washing
ICLR 2025
Cognitive Bias in Decision-Making with LLMs
EMNLP 2024
Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation
AAAI 2024
Synthetic Pre-Training Tasks for Neural Machine Translation
ACL 2023
Targeted Data Generation: Finding and Fixing Model Weaknesses
ACL 2023
Learning Concise and Descriptive Attributes for Visual Recognition
ICCV 2023
βNothing Abnormalβ: Disambiguating Medical Reports via Contrastive Knowledge Infusion
AAAI 2023
MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation
EMNLP 2023
InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions
EMNLP 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