1.4 Million Open-Source Distilled Reasoning Dataset to Empower Large Language Model Training

25 March 2025

Papers citing "1.4 Million Open-Source Distilled Reasoning Dataset to Empower Large Language Model Training"

6 / 6 papers shown

Title
DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data Training Xiaoyu Tian Sitong Zhao Haotian Wang Shuaiting Chen Yiping Peng Yunjie Ji Han Zhao Xiangang Li LRM 44 1 0 24 Apr 2025
AIMO-2 Winning Solution: Building State-of-the-Art Mathematical Reasoning Models with OpenMathReasoning dataset Ivan Moshkov Darragh Hanley Ivan Sorokin Shubham Toshniwal Christof Henkel Benedikt D. Schifferer Wei Du Igor Gitman ReLM LRM 30 1 0 23 Apr 2025
Leveraging Reasoning Model Answers to Enhance Non-Reasoning Model Capability Haotian Wang Han Zhao Shuaiting Chen Xiaoyu Tian Sitong Zhao Yunjie Ji Yiping Peng Xiangang Li ReLM LRM 48 0 0 13 Apr 2025
How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental Study Yunjie Ji Sitong Zhao Xiaoyu Tian Haotian Wang Shuaiting Chen Yiping Peng Han Zhao Xiangang Li LRM 39 1 0 01 Apr 2025
CrossWordBench: Evaluating the Reasoning Capabilities of LLMs and LVLMs with Controllable Puzzle Generation Jixuan Leng Chengsong Huang Langlin Huang Bill Yuchen Lin William W. Cohen Haohan Wang Jiaxin Huang LRM 27 0 0 30 Mar 2025
Think Twice: Enhancing LLM Reasoning by Scaling Multi-round Test-time Thinking Xiaoyu Tian Sitong Zhao Haotian Wang Shuaiting Chen Yunjie Ji Yiping Peng Han Zhao Xiangang Li ReLM ELM LRM 41 5 0 25 Mar 2025