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Chen Yang

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#artificial intelligence Preprint Sep 2026

Rethinking Circuit Evaluation: Do Circuits Explain Model Errors?

Mechanistic interpretability (MI) aims to explain a model's behaviour through analyzing its internal computations; circuit-based explanations aim to isolate these computations with compact subnetworks validated by ablating the rest of the model. We show that circuits validated this way may fail to recover the underlyin...

Li Zhang, Chu-Qin Geng, Mark Zhang et al. · 0 citations
Preprint Aug 2026

Evo-Bench: Can Language Models Improve Agent Harness?

Evo-Bench is the first benchmark designed to evaluate models'intrinsic harness-evolving capabilities across Search, Office, and General agent domains, and exposes critical temporal anomalies like early saturation, while demonstrating that the synthesized harnesses act as highly transferable reasoning structures, consis...

Lisheng Huang, Chen Yang, Hao Zhou et al. · 6 citations · ⚡1

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