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Data Repetition Beats Data Scaling in Long-CoT Supervised Fine-Tuning

Intermediate

Dawid J. Kopiczko, Sagar Vaze et al.Feb 11arXiv

The paper shows that, when teaching a reasoning AI with step-by-step examples, repeating a small set many times can beat using a huge set only once.

#Supervised Fine-Tuning#Chain-of-Thought#Data Repetition

MindWatcher: Toward Smarter Multimodal Tool-Integrated Reasoning

Intermediate

Jiawei Chen, Xintian Shen et al.Dec 29arXiv

MindWatcher is a smart AI agent that can think step by step and decide when to use tools like web search, image zooming, and a code calculator to solve tough, multi-step problems.

#Tool-Integrated Reasoning#Interleaved Thinking#Multimodal Chain-of-Thought

Schoenfeld's Anatomy of Mathematical Reasoning by Language Models

Intermediate

Ming Li, Chenrui Fan et al.Dec 23arXiv

This paper turns messy chains of thought from language models into clear, named steps so we can see how they really think through math problems.

#Schoenfeld’s Episode Theory#Cognitive Episodes#ThinkARM

Papers3

Data Repetition Beats Data Scaling in Long-CoT Supervised Fine-Tuning

MindWatcher: Toward Smarter Multimodal Tool-Integrated Reasoning

Schoenfeld's Anatomy of Mathematical Reasoning by Language Models