Adding linear-time lookbehinds to RE2
systemf.epfl.ch·4d·
Discuss: Lobsters, Hacker News, r/programming
🔍RegEx Engines
Plan for Speed -- Dilated Scheduling for Masked Diffusion Language Models
arxiv.org·1d
💻Local LLMs
Dive Deep into Higher-Order Functions: Essential Resources for Functional Programmers
dev.to·1d·
Discuss: DEV
🧬Functional Programming
Meet Mojo: The Language That Could Replace Python, C++, and CUDA
hackernoon.com·21h
⬆️Lambda Lifting
Semantic-Aware Parsing for Security Logs
arxiv.org·2d
📝Log Parsing
RepuNet: A Reputation System for Mitigating Malicious Clients in DFL
arxiv.org·45m
🔍BitFunnel
Black-Box Test Code Fault Localization Driven by Large Language Models and Execution Estimation
arxiv.org·1d
🔍Concolic Testing
The Internal Inconsistency of Large Language Models
blog.kortlepel.com·1d·
Discuss: Hacker News
💻Local LLMs
[R] [ClsToken, AvgPool] can be a poor choice for transformer embedding models
reddit.com·3d·
Discuss: r/MachineLearning
🌊Streaming Compression
Named Entity Recognition using Bidirectional LSTM and Conditional Random Fields
dev.to·3d·
Discuss: DEV
🤖Grammar Induction
MMSearch-R1: Incentivizing LMMs to Search
arxiv.org·45m
🔍BitFunnel
End-to-End Spoken Grammatical Error Correction
arxiv.org·2d
🔍Z3 Parsing
Programming Entry Level: how to interpreter
dev.to·1d·
Discuss: DEV
🔗Lisp
Accurate and Energy Efficient: Local Retrieval-Augmented Generation Models Outperform Commercial Large Language Models in Medical Tasks
arxiv.org·45m
🌀Brotli Internals
LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning
arxiv.org·3d
✓Automated Theorem Proving
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
arxiv.org·1d
🧮Kolmogorov Complexity
COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees
arxiv.org·45m
🧠Intelligence Compression
LangChain vs. TLRAG: A Comparative Analysis for Investors
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
CLGRPO: Reasoning Ability Enhancement for Small VLMs
arxiv.org·2d
📏Linear Logic
MATER: Multi-level Acoustic and Textual Emotion Representation for Interpretable Speech Emotion Recognition
arxiv.org·45m
🎵Audio ML