Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning
arxiv.org·14h
🌀Riemannian Computing
Why Your Next LLM Might Not Have A Tokenizer
towardsdatascience.com·23h
🤖Grammar Induction
Show HN: TableSprint- Supabase alternative with vibe coding features
tablesprint.com·15h·
Discuss: Hacker News
📲Digitization
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·4h
📊Graph Databases
Semantic similarity estimation for domain specific data using BERT and other techniques
arxiv.org·1d
🔍Semantic Search
Named Entity Recognition using Bidirectional LSTM and Conditional Random Fields
dev.to·3d·
Discuss: DEV
🤖Grammar Induction
SUTRA: Decoupling Concept & Language for Multilingual LLM Excellence
hackernoon.com·2h
💻Local LLMs
Detecting Machine-Generated Texts: Not Just "AI vs Humans" and Explainability is Complicated
arxiv.org·14h
🧮Kolmogorov Complexity
A Briefing on Logistic Regression
blog.engora.com·6h·
Discuss: Hacker News
🧠Machine Learning
Outcome-Based Education: Evaluating Students' Perspectives Using Transformer
arxiv.org·1d
📝ABNF Extensions
A Framework for Generating Conversational Recommendation Datasets from Behavioral Interactions
arxiv.org·1d
⚖️Feed Ranking
Contextualizing SUTRA: Advancements in Multilingual & Efficient LLMs
hackernoon.com·2h
💻Local LLMs
How Text Diffusion Works
pierce.dev·1d·
Discuss: Hacker News
📊Quantization
V2T-CoT: From Vision to Text Chain-of-Thought for Medical Reasoning and Diagnosis
arxiv.org·14h
🤖Advanced OCR
Gradient Descent on Token Input Embeddings: A ModernBERT experiment
dev.to·1d·
Discuss: DEV
📊Learned Metrics
[R] [ClsToken, AvgPool] can be a poor choice for transformer embedding models
reddit.com·2d·
Discuss: r/MachineLearning
🌊Streaming Compression
Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models
arxiv.org·1d
🧮Vector Embeddings
Probabilistic and reinforced mining of association rules
arxiv.org·1d
🧠Learned Indexes
A Hybrid DeBERTa and Gated Broad Learning System for Cyberbullying Detection in English Text
arxiv.org·2d
🌀Brotli Internals
DRIFT: Data Reduction via Informative Feature Transformation- Generalization Begins Before Deep Learning starts
arxiv.org·14h
🧠Machine Learning