18 citations · 90 across the 17 of their papers we have counts for
4 papers · 1 filter
Steering Black-Box Large Language Model Agents with Pitfall Anticipation World Model
Jiongxiao Wang, Han Ding, Youzhi Luo +4
Frontier black-box Large Language Model (LLM) agents are proficient at long-horizon reasoning and precise action generation. However, when it comes to a specific agentic task, they…
Generating Biomedical Fact-Checking Reports with RL-Enhanced Agentic Search
Jiongxiao Wang, Dingli Ma, Chaoqun Ni
Automated fact-checking is essential for ensuring the reliability of public health information, yet the biomedical domain poses unique challenges. Validating biomedical claims requ…
Reinforcement Learning for Self-Improving Agent with Skill Library
Jiongxiao Wang, Qiaojing Yan, Yawei Wang +6
Large Language Model (LLM)-based agents have demonstrated remarkable capabilities in complex reasoning and multi-turn interactions but struggle to continuously improve and adapt wh…
RLHFPoison: Reward Poisoning Attack for Reinforcement Learning with Human Feedback in Large Language Models
Jiongxiao Wang, Junlin Wu, Muhao Chen +2
Reinforcement Learning with Human Feedback (RLHF) is a methodology designed to align Large Language Models (LLMs) with human preferences, playing an important role in LLMs alignmen…