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cs.AI2026
MetaExp: Learning to Self-Improve through Experience via Verifiable Cross-Task Environment Scaling
Renhao Li, Xinjie Shen, Yang Su +4
Language-model agents can accumulate interaction feedback, but reliably turning that feedback into reusable experience remains challenging. Existing methods either optimize externa…
cs.AI2025
ToolRM: Towards Agentic Tool-Use Reward Modeling
Renhao Li, Jianhong Tu, Yang Su +6
Reward models (RMs) play a critical role in aligning large language models (LLMs) with human preferences. Yet in the domain of tool learning, the lack of RMs specifically designed…
cs.AI2025★ 1 cited
Exploring the Impact of Personality Traits on LLM Bias and Toxicity
Shuo Wang, Renhao Li, Xi Chen +3
With the different roles that AI is expected to play in human life, imbuing large language models (LLMs) with different personalities has attracted increasing research interests. W…