RIP Graphics (altervista.org)
kwasstuff.altervista.org·7h
📟Terminal Physics
QuasarQ
hackster.io·1d
⚙️DIY Electronics
Show HN: Nihondex Learn Japanese Fast
nihondex.com·15h·
Discuss: Hacker News
🇯🇵Japanese Computing
Introducing Claude Sonnet 4.5 in Amazon Bedrock: Anthropic’s most intelligent model, best for coding and complex agents
aws.amazon.com·7h
💻Programming languages
OjaKV: Context-Aware Online Low-Rank KV Cache Compression with Oja's Rule
arxiv.org·21h
🌊Streaming Compression
FoodSEM: Large Language Model Specialized in Food Named-Entity Linking
arxiv.org·21h
🔍Information Retrieval
Teaching LLMs to spell with token healing
blog.sweep.dev·3d·
Discuss: Hacker News
🔍Z3 Parsing
SCORE: A Semantic Evaluation Framework for Generative Document Parsing
arxiv.org·4d
📄Text Chunking
StepORLM: A Self-Evolving Framework With Generative Process Supervision For Operations Research Language Models
arxiv.org·21h
⚡Incremental Computation
Dynamic Experts Search: Enhancing Reasoning in Mixture-of-Experts LLMs at Test Time
arxiv.org·21h
✓Automated Theorem Proving
Positional Encoding - Sense of direction for Transformers
dev.to·1d·
Discuss: DEV
🎯Arithmetic Coding Theory
Let's Take Esoteric Programming Languages Seriously
feelingof.com·2d·
Discuss: Hacker News
🧪Binary Fuzzing
What Is The Political Content in LLMs' Pre- and Post-Training Data?
arxiv.org·21h
📋Document Grammar
Understanding, not slop, is what’s interesting about LLMs
blakewatson.com·1d·
Discuss: Hacker News
🌀Brotli Internals
Brain PathoGraph Learning
arxiv.org·21h
🧠Machine Learning
Weekly Challenge: Ascending Regex to remove the Duplicates
dev.to·1d·
Discuss: DEV
🌳Trie Structures
5M Param LM Running in Minecraft
github.com·1d·
Discuss: Hacker News
⚡Homebrew CPUs
S2J: Bridging the Gap Between Solving and Judging Ability in Generative Reward Models
arxiv.org·21h
🧮Vector Embeddings
VideoJudge: Bootstrapping Enables Scalable Supervision of MLLM-as-a-Judge for Video Understanding
arxiv.org·21h
📊Learned Metrics
Automated Neuro-Symbolic Reasoning for Explainable Medical Diagnosis via Dynamic Graph Augmentation
dev.to·1d·
Discuss: DEV
🕸️Graph Embeddings