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cs.LG2026
Beyond Forgetting: Diagnosing and Harnessing Shared Reasoning in Continual RLVR
Lirui Luo, Guoxi Zhang, Hongming Xu +3
Reinforcement learning with verifiable rewards (RLVR) commonly post-trains reasoning models on multiple tasks, while rerunning multitask RLVR (MTRL) as new tasks are added makes ca…
cs.LG2026
Stable Reasoning, Unstable Responses: Mitigating LLM Deception via Stability Asymmetry
Guoxi Zhang, Jiawei Chen, Tianzhuo Yang +4
As Large Language Models (LLMs) expand in capability and application scope, their trustworthiness becomes critical. A vital risk is intrinsic deception, wherein models strategicall…
cs.LG2024
VickreyFeedback: Cost-efficient Data Construction for Reinforcement Learning from Human Feedback
Guoxi Zhang, Jiuding Duan
This paper addresses the cost-efficiency aspect of Reinforcement Learning from Human Feedback (RLHF). RLHF leverages datasets of human preferences over outputs of large language mo…