Author

Kai Chen

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#artificial intelligence Review Jul 2026

InternReviewer&InternAdvocate: Objective Reward and Evaluation for Agentic Reinforcement Learning in Peer Review and Rebuttal

This work presents a comprehensive framework for the development and evaluation of specialized scholarly agents, InternReviewer and InternAdvocate, by implementing an agentic Reinforcement Learning (RL) paradigm driven by a unified objective metric and reward system.

Xuerui Su, Liya Guo, Qizhi Pei et al. · 0 citations

Jul 2026

AgentCompass: A Unified Evaluation Infrastructure for Agent Capabilities

AgentCompass is introduced, an open-source, lightweight, and extensible infrastructure for evaluating LLM-based agents that organizes the evaluation process around three independent components, thereby enabling flexible configurations without requiring the reimplementation of complex execution logic.

Zichen Ding, Jiaye Ge, Shufan Jiang et al. · arXiv.org · 2 citations