SynthVLM: High-Efficiency and High-Quality Synthetic Data forVision Language Models[视觉语言模型的高效高质量合成数据]-AI论文 by 小远 2024-11-19 0 1.摘要 摘要部分，论文提出了一种名为S ...
DeepMind：强化学习处理不正确的合成数据，使大模型数学推理效率提高八倍[RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold]-AI论文 by 小远 2024-10-31 0 1. Introduction（引言） ...
Meta：放弃人工标注，合成数据自学评估器助力大模型推理[Self-Taught Evaluators]-AI论文 by 小远 2024-10-29 0 1 引言（Introduction） 这 ...
claude Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs[不要过度思考2+3等于几 在类LLM的过度思考上]-AI论文 by 小远 2025-01-12 0 图1：在图（a）中过度思考问题的示意图：... Read more
AI论文 Slow Perception: Let’s Perceive Geometric Figures Step-by-step[缓慢感知：让我们逐步感知几何图形]-AI论文 by 小远 2025-01-12 0 摘要 近期，“视觉感知”开始进入人们的视... Read more
claude Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning[结合大型语言模型与过程奖励引导的树搜索以提升复杂推理能力]-AI论文 by 小远 2025-01-12 0 摘要 尽管大型语言模型近期取得了显著进展... Read more
AI论文 Large Concept Models:Language Modeling in a Sentence Representation Space[大型概念模型：在句子表示空间中的语言建模]-AI论文 by 小远 2025-01-06 0 大型语言模型（LLMs）已经彻底改变了人... Read more
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![DeepMind：强化学习处理不正确的合成数据，使大模型数学推理效率提高八倍[RL on Incorrect Synthetic Data Scales the Efficiency of LLM Math Reasoning by Eight-Fold]-AI论文](https://assh83.com/wp-content/uploads/2024/10/figure6-350x250.jpg)
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