M+: Extending MemoryLLM with Scalable Long-Term Memory.
CoRR, February, 2025
Towards LifeSpan Cognitive Systems.
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CoRR, 2024
WildFeedback: Aligning LLMs With In-situ User Interactions And Feedback.
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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
Farzi Data: Autoregressive Data Distillation.
CoRR, 2023
Robust and Interpretable Medical Image Classifiers via Concept Bottleneck Models.
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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
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
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
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
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