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Jiaqi Shao

2 accepted papers

2026

Do LLM Agents Know How to Ground, Recover, and Assess? Evaluating Epistemic Competence in Information-Seeking Agents

ICLR 2026poster

Recent work has explored training Large Language Model (LLM) search agents with reinforcement learning (RL) for open-domain question answering. However, most evaluations focus solely on final answer accuracy, overlooking how these agents reason with and act on external evidence. We introduce **SeekB…

Cited by 0SourcecodeScholar
2024

A Rigid-Flexible Coupling Oscillator for Pneumatic Autonomous Robots

RA-L 2024

The traditional oscillators are limited by their material characteristics and structural configuration, exhibiting a low oscillation frequency and low output power under pressure input. This results in a slow locomotion speed for the robot. To address these limitations, this work presents a compact,

Cited by 1SourceScholar