2025-06-24: GPU Hours Granted on Hypothesis Generation by Oak Ridge Leadership Computing Facility
ws-dl.blogspot.com·1d·
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🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
The Guide to the Foundation Models Framework
azamsharp.com·10h·
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λLambda Formalization
Accumulation of Cognitive Debt When Using an AI Assistant for Essay Writing Task
media.mit.edu·1d·
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🧠Intelligence Compression
The first CNN for playing Scrabble – a game of imperfect information
cesardelsolar.com·2d·
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🔲Cellular Automata
AI’s ‘Neutral Voice’ Is a Structural Illusion
hackernoon.com·17h
💻Local LLMs
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·20h
🧠Machine Learning
PATCH! {P}sychometrics-{A}ssis{T}ed Ben{CH}marking of Large Language Models against Human Populations: A Case Study of Proficiency in 8th Grade Mathematics
arxiv.org·20h
🧠Intelligence Compression
Probing for Phonology in Self-Supervised Speech Representations: A Case Study on Accent Perception
arxiv.org·1d
🗣️CMU Pronouncing
RL for Reasoning by Adaptively Revealing Rationales
arxiv.org·1d
🧠Machine Learning
On Union-Closedness of Language Generation
arxiv.org·1d
🔗Monadic Parsing
Machine Learning Fundamentals: accuracy with python
dev.to·1d·
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👁️Observatory Systems
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
arxiv.org·20h
🧮Kolmogorov Complexity
Lemmatization as a Classification Task: Results from Arabic across Multiple Genres
arxiv.org·1d
🔤Morphological Analysis
LangChain vs. TLRAG: A Comparative Analysis for Investors
dev.to·1d·
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🌀Brotli Internals
Scaffolding Dexterous Manipulation with Vision-Language Models
arxiv.org·20h
🤖Advanced OCR
Programming by Backprop: LLMs Acquire Reusable Algorithmic Abstractions During Code Training
arxiv.org·1d
💻Local LLMs
The Internal Inconsistency of Large Language Models
blog.kortlepel.com·1d·
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💻Local LLMs
The Syntactic Acceptability Dataset (Preview): A Resource for Machine Learning and Linguistic Analysis of English
arxiv.org·1d
🤖Automated Parsing
📢 GreyCollar: Supervised Agentic AI Project
dev.to·7h·
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🌊Stream Processing
[D] Applying COCONUT continuous reasoning into a learnt linear layer that produces sampling parameters (temp, top-k, top-p, etc.) for the current token?
reddit.com·2d·
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💻Local LLMs