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Articles

Paper page - LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

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By Yingzhe Peng, Gongrui Zhang, Zhiyuan You, Miaosen Zhang
| huggingface.co
TL;DR: We present a two-stage rule-based reinforcement learning approach that significantly improves multimodal reasoning capabilities in LMMs, enabling our 3B model to outperform much larger models like Claude 3.5 and GPT-4o on agent tasks.
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ICCV23 Visual-Dialog Emotion Explanation Challenge: SEU_309 Team Technical Report

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By Yingzhe Peng
| arxiv.org
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