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20242026
most citedDo NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

2 citations · 3 across the 10 of their papers we have counts for

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cs.CL2024

Teaching LLMs to Refine with Tools

Dian Yu, Yuheng Zhang, Jiahao Xu +5

Large language models (LLMs) can refine their responses based on feedback, enabling self-improvement through iterative training or test-time refinement. However, existing methods p…

cs.CL2024

Draft Model Knows When to Stop: Self-Verification Speculative Decoding for Long-Form Generation

Ziyin Zhang, Jiahao Xu, Tian Liang +4

Conventional speculative decoding (SD) methods utilize a predefined length policy for proposing drafts, which implies the premise that the target model smoothly accepts the propose…