Yanrui Du
Orcid: 0000-0002-6821-7690
According to our database1,
Yanrui Du authored at least 27 papers
between 2021 and 2026.
Collaborative distances:
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Bibliography
2026
SL-BiLEM: Structured Learnable Behavior-in-the-Loop Epidemic Modeling for Forecasting and Policy Evaluation.
CoRR, May, 2026
medR: Reward Engineering for Clinical Offline Reinforcement Learning via Tri-Drive Potential Functions.
CoRR, February, 2026
From Latent Signals to Reflection Behavior: Tracing Meta-Cognitive Activation Trajectory in R1-Style LLMs.
CoRR, February, 2026
CoRR, February, 2026
OptiSet: Unified Optimizing Set Selection and Ranking for Retrieval-Augmented Generation.
CoRR, January, 2026
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026
2025
CoRR, September, 2025
Anchoring Refusal Direction: Mitigating Safety Risks in Tuning via Projection Constraint.
CoRR, September, 2025
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Trustworthy Response Generation in Chinese.
ACM Trans. Knowl. Discov. Data, February, 2025
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views.
Proceedings of the International Joint Conference on Neural Networks, 2025
Investigating the Security Threat Arising from "Yes-No" Implicit Bias in Large Language Models.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Towards Secure Tuning: Mitigating Security Risks Arising from Benign Instruction Fine-Tuning.
CoRR, 2024
MolFusion: Multimodal Fusion Learning for Molecular Representations via Multi-granularity Views.
CoRR, 2024
MoGU: A Framework for Enhancing Safety of Open-Sourced LLMs While Preserving Their Usability.
CoRR, 2024
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024
MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
From Artificially Real to Real: Leveraging Pseudo Data from Large Language Models for Low-Resource Molecule Discovery.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Analyzing the Inherent Response Tendency of LLMs: Real-World Instructions-Driven Jailbreak.
CoRR, 2023
The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature.
CoRR, 2023
Knowledge-tuning Large Language Models with Structured Medical Knowledge Bases for Reliable Response Generation in Chinese.
CoRR, 2023
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue.
CoRR, 2023
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Make Your Decision Convincing! A Unified Two-Stage Framework: Self-Attribution and Decision-Making.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation.
CoRR, 2022
2021
Health Inf. Sci. Syst., 2021
Health Inf. Sci. Syst., 2021