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The Geometry of Probabilities in LLMs
Mike’s Daily Paper Review: 22.02.26, Review 582, THE INFORMATION GEOMETRY OF SOFTMAX: PROBING AND STEERING
 • Mike Erlihson, Mathy AI
Merging via Lie Algebra: Preserving Manifold Geometry in Deep Model Merging
Mike’s Daily Paper Review: 20.02.26, Review 581; Orthogonal Model Merging
 • Mike Erlihson, Mathy AI
LLMs as Operators on Measures: A Clean Mathematical Pipeline for Tokenization, Training, Attention, and Decoding
Mike’s daily paper review: 18.02.26LARGE LANGUAGE MODELS: A MATHEMATICAL FORMULATION
 • Mike Erlihson, Mathy AI
The “Aha” That Wasn’t: When Language Models Only Pretend to Think
Omri and Mike’s Daily Paper, 16.02.26, Review 579; The Illusion of Insight in Reasoning Models
 • Mike Erlihson, Mathy AI and Omri Sapir
Bees, Flowers, Deep in the Web
Shlomi and Mike’s Daily Paper, 13.02.26; Interpretability of Graph Neural Networks to Assess Effects of Global Change Drivers on Ecological Networks
 • Mike Erlihson, Mathy AI and Shlomi Bereznik
The Thermodynamics of Transformer Errors: A New Physics of Scale
Mike’s daily paper review: 11.02.26 , A MODEL OF ERRORS IN TRANSFORMERS, Review 577
 • Mike Erlihson, Mathy AI
From World Cup Statistics to Business Data: AI21’s New RAG
Shmulik and Mike’s Daily Paper Review 09.02.26, Structured RAG for Answering Aggregative Questions
 • Mike Erlihson, Mathy AI and Shmulik Cohen
Mathy AI Substack
Mathy AI Substack
Deep learning paper reviews, blogs about machine learning techniques, LLM discussions
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