Reverse Engineering the Microchip CLB Part 1: Background and Reverse Engineering the BLEs
mcp-clb.markomo.me·14m·
Discuss: Lobsters
🔬Binary Analysis
The one-more-re-nightmare compiler (2021)
applied-langua.ge·1d·
Discuss: Lobsters, Hacker News, r/programming
🔍RegEx Engines
Perspectives in Play: A Multi-Perspective Approach for More Inclusive NLP Systems
arxiv.org·2h
📚Digital Humanities
MATER: Multi-level Acoustic and Textual Emotion Representation for Interpretable Speech Emotion Recognition
arxiv.org·2h
🎵Audio ML
CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG Evaluation
arxiv.org·2h
📏Linear Logic
CEGA: A Cost-Effective Approach for Graph-Based Model Extraction and Acquisition
arxiv.org·2d
🧮Prolog Parsing
Argumentative Ensembling for Robust Recourse under Model Multiplicity
arxiv.org·2h
🔗Parser Combinators
Semantic-Aware Parsing for Security Logs
arxiv.org·2d
📝Log Parsing
Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content
arxiv.org·2h
🔍Information Retrieval
Named Entity Recognition using Bidirectional LSTM and Conditional Random Fields
dev.to·3d·
Discuss: DEV
🤖Grammar Induction
On Union-Closedness of Language Generation
arxiv.org·2d
🔗Monadic Parsing
PARALLELPROMPT: Extracting Parallelism from Large Language Model Queries
arxiv.org·2d
🚀SIMD Text Processing
Dialogic Pedagogy for Large Language Models: Aligning Conversational AI with Proven Theories of Learning
arxiv.org·1d
🤖Grammar Induction
Computational Complexity of Model-Checking Quantum Pushdown Systems
arxiv.org·2d
🔐Quantum Security
Probing AI Safety with Source Code
arxiv.org·2h
✨Effect Handlers
CLGRPO: Reasoning Ability Enhancement for Small VLMs
arxiv.org·2d
📏Linear Logic
Multilingual innovation in LLMs: How open models help unlock global communication
developers.googleblog.com·2d
🌀Brotli Internals
Existing LLMs Are Not Self-Consistent For Simple Tasks
arxiv.org·2d
💻Local LLMs
Mirage of Mastery: Memorization Tricks LLMs into Artificially Inflated Self-Knowledge
arxiv.org·1d
🧠Intelligence Compression
LangChain vs. TLRAG: A Comparative Analysis for Investors
dev.to·1d·
Discuss: DEV
🌀Brotli Internals