Author

Bo-Xun Li

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#machine learning Jun 2026

Claw-SWE-Bench: A Benchmark for Evaluating OpenClaw-style Agent Harnesses on Coding Tasks

Claw-SWE-Bench is introduced, a unified benchmark that enables researchers to systematically assess the capabilities and efficiency of general-purpose harnesses on software engineering tasks and guide the development of more capable and efficient harnesses.

Meng-Yu Zheng, Kai Han, Bo-Xun Li et al. · arXiv.org · 5 citations

#natural language process... Preprint Sep 2026

NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness

Recursive self-improvement (RSI) requires a concrete mechanism through which an AI system observes its capabilities and converts that evidence into the next round of learning. We present NeoHorse-1, a family of agent-native models developed to explore this path through agentic post-training. Our system combines a heter...

NeoHorse Team, Guo-Liang Cao, Guo-Hao Dai et al. · 0 citations