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Machine Learning Theory articles

Study Reveals How RL and SFT Differently Teach Transformers Chain-of-Thought Reasoning on Sparse Boolean Functions

Transformers can acquire Chain-of-Thought (CoT) capabilities to solve complex reasoning tasks through fine-tuning. Reinforcement learning (RL) and supervised fine-tuning (SFT) are two primary approaches to this end. In this work, we specifically examine R

Insighteducationsciencemachine learning theory

arxiv.org·Tech by Flipboard·1mo ago·2 min read

VC Dimension and the Fundamental Theorem of Statistical Learning: A Complete Mathematical Derivation

May 2026

Insighteducationscience

prateekchandrajha.github.io1mo ago

Emerging Scientific Theory of Deep Learning: The Case for "Learning Mechanics"

In this paper, we make the case that a scientific theory of deep learning is emerging. By this we mean a theory which characterizes important properties and statistics of the training process, hidden representations, final weights, and performance of neur

Insighttechnologyscience

arxiv.org2mo ago

Scaling Laws Limit Reliability of Large Language Models, Study Finds

We show that the scaling laws which determine the performance of large language models (LLMs) severely limit their ability to improve the uncertainty of their predictions. As a result, raising their reliability to meet the standards of scientific inquiry

Insighttechnologyscience

arxiv.org10mo ago