Weiyang Guo

According to our database1, Weiyang Guo authored at least 9 papers between 2024 and 2026.

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Timeline

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Bibliography

2026
Skill Weaving: Efficient LLM Improvement via Modular Skillpacks.
CoRR, May, 2026

E3-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning.
CoRR, April, 2026

Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Innovator: Scientific Continued Pretraining with Fine-grained MoE Upcycling.
CoRR, July, 2025

Jailbreak-R1: Exploring the Jailbreak Capabilities of LLMs via Reinforcement Learning.
CoRR, June, 2025

Multi-objective Large Language Model Alignment with Hierarchical Experts.
CoRR, May, 2025

LLMs Are Noisy Oracles! LLM-based Noise-aware Graph Active Learning for Node Classification.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
IntFair:Graph Neural Networks for Fair Recommendations with Interest Awareness.
Proceedings of the Database Systems for Advanced Applications, 2024


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