Golang and Let's Encrypt: a free software story
dotat.at·3h
🌳Archive Merkle Trees
Why Dyad?: A Perspective for Modelica Users
juliahub.com·13h·
Discuss: Hacker News
💧Liquid Types
Show HN: Towards agentic Graph RAG: Enhancing graph retrieval with vector search
blog.kuzudb.com·7h·
Discuss: Hacker News
📊Graph Databases
LOGICPO: Efficient Translation of NL-based Logical Problems to FOL using LLMs and Preference Optimization
arxiv.org·2d
🔗Monadic Parsing
Practical tips to optimize documentation for LLMs, AI agents, and chatbots
biel.ai·1d·
Discuss: Hacker News
🤖Archive Automation
Persona-Assigned Large Language Models Exhibit Human-Like Motivated Reasoning
arxiv.org·50m
🎯Dependent Parsing
MATER: Multi-level Acoustic and Textual Emotion Representation for Interpretable Speech Emotion Recognition
arxiv.org·50m
🎵Audio ML
Apps Script MCP Server
dev.to·9h·
Discuss: DEV
🔐CBOR
Argumentative Ensembling for Robust Recourse under Model Multiplicity
arxiv.org·50m
🔗Parser Combinators
Probing AI Safety with Source Code
arxiv.org·50m
✨Effect Handlers
Conversational Intent-Driven GraphRAG: Enhancing Multi-Turn Dialogue Systems through Adaptive Dual-Retrieval of Flow Patterns and Context Semantics
arxiv.org·1d
🧮Prolog Parsing
Semantic-Aware Parsing for Security Logs
arxiv.org·2d
📝Log Parsing
Small language model for secrets detection
wiz.io·3d·
Discuss: Hacker News
💻Local LLMs
Cactus Language • Syntax 10
inquiryintoinquiry.com·3d
📝Concrete Syntax
Dialogic Pedagogy for Large Language Models: Aligning Conversational AI with Proven Theories of Learning
arxiv.org·1d
🤖Grammar Induction
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·1d
🧠Intelligence Compression
Lightweight Target-Speaker-Based Overlap Transcription for Practical Streaming ASR
arxiv.org·50m
🎙️Whisper
A Multi-Pass Large Language Model Framework for Precise and Efficient Radiology Report Error Detection
arxiv.org·50m
✅Format Verification
Programming by Backprop: LLMs Acquire Reusable Algorithmic Abstractions During Code Training
arxiv.org·2d
💻Local LLMs
On Union-Closedness of Language Generation
arxiv.org·2d
🔗Monadic Parsing