Fil-C
fil-c.org·6d
💧Liquid Types
Master Foo and LLM Mountain
tusshah.github.io·3d·
Discuss: Hacker News
🏗️Compiler Archaeology
The Power of and
lucasbarbosa.net·7h·
Discuss: Hacker News
🔲Cellular Automata
Experimenting with local LLMs on macOS
blog.6nok.org·3d·
Discuss: Lobsters, Hacker News
💻Local LLMs
Agentic AI Runs on Tools
simplicityissota.substack.com·3d·
Discuss: Substack
⚡Incremental Computation
How To Upgrade Your MCP Server With Context Engineering
thenewstack.io·3d
🦋Format Metamorphosis
Explainability of CNN Based Classification Models for Acoustic Signal
arxiv.org·1d
🎧Learned Audio
Scaling behavior of large language models in emotional safety classification across sizes and tasks
arxiv.org·4d
🔗Monadic Parsing
BEDTime: A Unified Benchmark for Automatically Describing Time Series
arxiv.org·4d
📈Time Series
ACE-RL: Adaptive Constraint-Enhanced Reward for Long-form Generation Reinforcement Learning
arxiv.org·4d
🔲Cellular Automata
FSP: Novel Compression Algorithm Based on Pattern Similarity Unlike the Others
news.ycombinator.com·4d·
Discuss: Hacker News
📦Deflate
Leveraging Generic Foundation Models for Multimodal Surgical Data Analysis
arxiv.org·3d
🧠Machine Learning
Students' Perception of LLM Use in Requirements Engineering Education: An Empirical Study Across Two Universities
arxiv.org·3d
💻Programming languages
Another Turn, Better Output? A Turn-Wise Analysis of Iterative LLM Prompting
arxiv.org·3d
✨Effect Handlers
Benchmarking Gender and Political Bias in Large Language Models
arxiv.org·3d
🚀SIMD Text Processing
Benchmarking Large Language Models for Personalized Guidance in AI-Enhanced Learning
arxiv.org·3d
🎙️Whisper
The Choice of Divergence: A Neglected Key to Mitigating Diversity Collapse in Reinforcement Learning with Verifiable Reward
arxiv.org·2d
🔲Cellular Automata
Point Linguist Model: Segment Any Object via Bridged Large 3D-Language Model
arxiv.org·2d
🌀Hyperbolic Geometry
The Ultimate Developer's Guide to AI Tools in 2025: 247+ Curated Tools That Actually Matter
dev.to·1d·
Discuss: DEV
🔄Language Evolution
Boosted Training of Lightweight Early Exits for Optimizing CNN Image Classification Inference
arxiv.org·1d
📊Quantization