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cs.AI2026
MCAIR: Monitoring and Correcting Agent Unfaithfulness via Internal Representations
Yan Xu, Dandan Song, Luan Zhang +8
Large Language Model (LLM)-based agents have demonstrated remarkable capabilities in completing complex tasks through multi-step reasoning and tool interactions. However, recent st…
cs.AI2026
Co-Harness: Co-Evolving Harnesses and Model Weights for LLM Agents
Zhengyu Chen, Teng Xiao, Huaisheng Zhu +3
Post-training agents for automated AI research requires optimizing not only model parameters, but also the runtime harness that shapes how research trajectories are generated, eval…