🔍 Tokenizers

Lexical Analysis, Token Recognition, State Machines, Parsing Pipeline

Translating English Sentences into Propositional Logic Statements
nbviewer.ipython.org·5d
📊LR Parsing
A visit to the North End's zero-waste store, where nothing is packed in plastic and the straws are made of metal
universalhub.com·1h
🔗Concatenative
E-Democracy Lab, BIRDBASE, Gullah Geechee, More: Tuesday ResearchBuzz, October 7, 2025
researchbuzz.me·10h
📋JSON Parsing
MathArena Apex: Unconquered Final-Answer Problems
matharena.ai·2d·
Discuss: Hacker News
🧩Constraint Solvers
LLM-Based Instance-Driven Heuristic Bias in the Context of a BRKGA
researchgate.net·3d·
Discuss: Hacker News
🪜Recursive Descent
IBM claims 45% productivity gains with Project Bob, its multi-model IDE that orchestrates LLMs with full repository context
venturebeat.com·12h
🎮Language Ergonomics
Fast Generic Hash-Table Update
reddit.com·3h·
Discuss: r/C_Programming
📋Row Typing
What Happens Behind the Scenes When You Run Python Code
dev.to·1d·
Discuss: DEV
🔍Execution Tracing
The Ultimate Guide to PDF SDKs for Powerful Document Processing
dev.to·4h·
Discuss: DEV
🌐Web Standards
Key components of a data-driven agentic AI application | AWS Database Blog
aws.amazon.com·1d
🤖Abstract Machines
Docker Model Runner: Run AI Models Locally Within Your Docker Ecosystem
dev.to·9h·
Discuss: DEV
🌐WASM Runtimes
Python + EVM without the paper cuts: a senior playbook for fast, correct, and scalable reads
dev.to·1d·
Discuss: DEV
🌐Network Protocols
Transductive and Learning-Augmented Online Regression
arxiv.org·18h
🪜Recursive Descent
Telling the Difference Between Memories & Logical Guesses
lesswrong.com·16h
🧠Memory Ordering
Probing Whisper for Dysarthric Speech in Detection and Assessment
arxiv.org·18h
🚀Tokenizer Performance
ReSharper and Rider 2025.2.3: The Third Set of Updates Released
blog.jetbrains.com·1d
🐛Interactive Debuggers
90% of Claude Apps Leak Context. Here's How to Fix It Before It Costs You Thousands
dev.to·2d·
Discuss: DEV
🌊Streaming Lexers
Toward a Holistic Evaluation of Robustness in CLIP Models
arxiv.org·1d
🚂Error Propagation
Farewell-to-Framework-Bloat-How-I-Rediscovered-Simplicity-Without-Sacrificing-Performance
dev.to·1d·
Discuss: DEV
📦Monorepos
Towards Open-Ended Discovery for Low-Resource NLP
arxiv.org·4d
📊LR Parsing