🎯 Dependent Parsing

Context-sensitive Grammars, Type-dependent Syntax, Proof-carrying Parsers, Verified Parsing

Teaching Models to Decide When to Retrieve: Adaptive RAG, Part 4
blog.reachsumit.com·3d·
Discuss: Hacker News
🧠Learned Indexing
Falsehoods Vibe Coders Believe About LLMs
wilsonhobbs.com·9h·
Discuss: Hacker News
💧Liquid Types
🚀 Hello DEV Community! I’m Thiyagarajan Varadharajan – Python Full Stack Developer | AI Enthusiast
dev.to·1d·
Discuss: DEV
🌀Brotli Internals
Decoding Emotion in the Deep: A Systematic Study of How LLMs Represent, Retain, and Express Emotion
arxiv.org·2d
💻Local LLMs
Feasibility-Aware Decision-Focused Learning for Predicting Parameters in the Constraints
arxiv.org·2d
🧠Machine Learning
Revealing Interconnections between Diseases: from Statistical Methods to Large Language Models
arxiv.org·2d
🧠Machine Learning
DPA-Net: A Dual-Path Attention Neural Network for Inferring Glycemic Control Metrics from Self-Monitored Blood Glucose Data
arxiv.org·7h
🧠Machine Learning
ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL
arxiv.org·7h
🔲Cellular Automata
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·5h·
Discuss: DEV
🌀Brotli Internals
MedReflect: Teaching Medical LLMs to Self-Improve via Reflective Correction
arxiv.org·2d
💻Local LLMs
Emergence of Superposition: Unveiling the Training Dynamics of Chain of Continuous Thought
arxiv.org·2d
🔲Cellular Automata
From Moments to Models: Graphon Mixture-Aware Mixup and Contrastive Learning
arxiv.org·2d
🧠Machine Learning
Improving Metacognition and Uncertainty Communication in Language Models
arxiv.org·1d
🧠Intelligence Compression
Flamed-TTS: Flow Matching Attention-Free Models for Efficient Generating and Dynamic Pacing Zero-shot Text-to-Speech
arxiv.org·3d
🎙️Whisper
Neural Network-Based Anomaly Detection in CI/CD Pipelines: A Technical Overview
dev.to·8h·
Discuss: DEV
🧠Learned Compression
A Detailed Workflow for Creating an MCP Server that Returns MySQL Schema Information Using Vibe Coding
dev.to·18h·
Discuss: DEV
🗄️Database Internals
A tiny recursive reasoning model achieves 45% on ARC-AGI-1 and 8% on ARC-AGI-2
alexiajm.github.io·1d·
Discuss: Hacker News, Hacker News
🧠Intelligence Compression
Cost Efficient Fairness Audit Under Partial Feedback
arxiv.org·2d
🌸Bloom Variants
Mass Conservation on Rails -- Rethinking Physics-Informed Learning of Ice Flow Vector Fields
arxiv.org·7h
🌀Differential Geometry
From Theory to Practice: Evaluating Data Poisoning Attacks and Defenses in In-Context Learning on Social Media Health Discourse
arxiv.org·2d
🔗Monadic Parsing