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⛏️ Grammar Mining

Syntax Discovery, Pattern Extraction, Language Learning, Automated Parsing

XSLT: A Precision Tool for the Future of Structured Transformation
xml.com·2d·
Discuss: Hacker News
📋Document Grammar
RFC 1392: Internet Users' Glossary
rfc-editor.org·1d·
Discuss: Hacker News
📡DNS Archaeology
OpenReasoning-Nemotron: A Family of Distilled Reasoning Models
huggingface.co·1d·
Discuss: Hacker News
💻Local LLMs
A gut sense for a microbial pattern regulates feeding
nature.com·5h
🧮Algorithmic Cooking
Things I Wish I Had Known Before Starting ML
towardsdatascience.com·17h
🏴󠁧󠁢󠁳󠁣󠁴󠁿Scottish Computing
P-CoT: A Pedagogically-motivated Participatory Chain-of-Thought Prompting for Phonological Reasoning in LLMs
arxiv.org·17h
🤖Grammar Induction
Structural variation in 1,019 diverse humans based on long-read sequencing
nature.com·5h
🧬Copy Number Variants
Multi-Strategy Improved Snake Optimizer Accelerated CNN-LSTM-Attention-Adaboost for Trajectory Prediction
arxiv.org·1d
🤖Advanced OCR
The Context Illusion: Why LLMs Don't Know Your Code Like You Think They Do
dev.to·1d·
Discuss: DEV
✨Effect Handlers
Spatial 3D-LLM: Exploring Spatial Awareness in 3D Vision-Language Models
arxiv.org·17h
📐Projective Geometry
How LLMs Comprehend Temporal Meaning in Narratives: A Case Study in Cognitive Evaluation of LLMs
arxiv.org·1d
🧠Intelligence Compression
From Neurons to Semantics: Evaluating Cross-Linguistic Alignment Capabilities of Large Language Models via Neurons Alignment
arxiv.org·1d
🧮Kolmogorov Complexity
Recurrent Neural Networks: A Review
theahura.substack.com·4d·
Discuss: Substack
🧠Machine Learning
Anthropic says that AI can learn risky behaviors even when the training data looks completely safe
the-decoder.com·7h
🎙️Whisper
Now and Future of Artificial Intelligence-based Signet Ring Cell Diagnosis: A Survey
arxiv.org·17h
🤖Advanced OCR
Question-Answer Extraction from Scientific Articles Using Knowledge Graphs and Large Language Models
arxiv.org·2d
🔍Information Retrieval
Title: Concept Learning in Machine Learning: How Machines Learn from Examples
dev.to·16h·
Discuss: DEV
🧠Machine Learning
ICML Statement about subversive hidden LLM prompts
icml.cc·9h·
Discuss: Hacker News
⚖️Constraint Logic
Prompt Power-Up: Master AI Prompts for Seamless Code Migrations
dev.to·6h·
Discuss: DEV
🦋Format Metamorphosis
Deep Generative Models in Condition and Structural Health Monitoring: Opportunities, Limitations and Future Outlook
arxiv.org·1d
🌀Riemannian Computing
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