ML-assisted Data Structures, Neural Networks, B-tree Replacement, Database Optimization

Beyond Vector Search: Building a RAG That *Actually* Understands Your Data
dev.to·21h·
Discuss: DEV
🗂️Vector Databases
Getting a Hypergraph of Functions to a Browser
systeminit.com·17h·
Discuss: Hacker News
📐E-graphs
Inverse Mixed-Integer Programming: Learning Constraints then Objective Functions
arxiv.org·3d
📈Linear programming
LogSTOP: Temporal Scores over Prediction Sequences for Matching and Retrieval
arxiv.org·1d
📊Learned Metrics
How well can large language models predict the future?
forecastingresearch.substack.com·14h·
Discuss: Substack
📈Time Series
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
arxiv.org·1d
🔨Compilers
Evolution Strategies at Scale: LLM Fine-Tuning Beyond Reinforcement Learning
arxiviq.substack.com·1d·
Discuss: Substack
💻Local LLMs
Making GitHub Issues Search Suck Less with BigQuery, Vertex AI and CloudQuery
cloudquery.io·22h·
Discuss: Hacker News
🌐Federated Search
Randomized and quantum approximate matrix multiplication
arxiv.org·6h
🔐Quantum Cryptography
TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance
arxiv.org·6h
👤Search Personalization
ACMID: Automatic Curation of Musical Instrument Dataset for 7-Stem Music Source Separation
arxiv.org·6h
🎵Audio Formats
AI Vector Database: Transforming Search with Smarter Vector Database Solutions
future.forem.com·3d·
Discuss: DEV
🗂️Vector Databases
ARMOR: High-Performance Semi-Structured Pruning via Adaptive Matrix Factorization
arxiv.org·2d
🧠Machine Learning
Optimal Stopping in Latent Diffusion Models
arxiv.org·6h
🧠Machine Learning
**The Hidden Bias in AI Hiring Systems: A Threat to Diversit
dev.to·13h·
Discuss: DEV
🧠Machine Learning
RVFL-X: A Novel Randomized Network Based on Complex Transformed Real-Valued Tabular Datasets
arxiv.org·1d
🔍Vector Forensics
Out-of-Distribution Generalization in Climate-Aware Yield Prediction with Earth Observation Data
arxiv.org·6h
🧠Machine Learning
Inductive inference of gradient-boosted decision trees on graphs for insurance fraud detection
arxiv.org·2d
🧠Machine Learning
CIR-CoT: Towards Interpretable Composed Image Retrieval via End-to-End Chain-of-Thought Reasoning
arxiv.org·6h
🧮Vector Embeddings