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[ACL-2025] SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs
编辑
2025-07-04
论文阅读
0
ResourceInfo
Paperhttps://arxiv.org/abs/2502.12134
Code & Datahttps://github.com/xuyige/SoftCoT
PublicACL
Date2025.07.04
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[ICLR-2024] Eureka: Human-Level Reward Design via Coding Large Language Models
编辑
2025-06-30
论文阅读
0
ResourceInfo
Paperhttps://arxiv.org/abs/2310.12931
Code & Datahttps://github.com/eureka-research/Eureka
PublicICLR
Date2025.06.30
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[ICML-2025] R*: Efficient Reward Design via Reward Structure Evolution and Parameter Alignment Optimization with Large Language Models
编辑
2025-06-26
论文阅读
0
ResourceInfo
Paperhttps://openreview.net/pdf?id=qZMLrURRr9
Code & Data/
PublicICML
Date2025.06.26
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[arXiv-2025] AdaptThink: Reasoning Models Can Learn When to Think
编辑
2025-06-20
论文阅读
0
ResourceInfo
Paperhttp://arxiv.org/abs/2505.13417
Code & Datahttps://github.com/THU-KEG/AdaptThink
PublicarXiv
Date2025.06.20
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Raise the Ceiling: Clip-Higher
编辑
2025-06-20
NLP
0

Raise the Ceiling: Clip-Higher

Cite from: DAPO: An Open-Source LLM Reinforcement Learning System at Scale

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