3 papers
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.CL2025
HiMATE: A Hierarchical Multi-Agent Framework for Machine Translation Evaluation
Shijie Zhang, Renhao Li, Songsheng Wang +3
The advancement of Large Language Models (LLMs) enables flexible and interpretable automatic evaluations. In the field of machine translation evaluation, utilizing LLMs with transl…
cs.AI2025
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…