most citedPruning the Unsurprising: Efficient LLM Reasoning via First-Token Surprisal

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cs.LG2026

ResearchClawBench: A Benchmark for End-to-End Autonomous Scientific Research

Wanghan Xu, Shuo Li, Tianlin Ye +48

AI coding agents are increasingly used for scientific work, but their end-to-end autonomous research capability remains difficult to verify. We present ResearchClawBench, a benchma…

cs.LG2025★ 1 cited

Pruning the Unsurprising: Efficient LLM Reasoning via First-Token Surprisal

Wenhao Zeng, Yaoning Wang, Chao Hu +4

Large Reasoning Models (LRMs) have demonstrated remarkable capabilities by scaling up the length of Chain-of-Thought (CoT). However, excessively long reasoning traces pose substant…