🗂️ Vector Search

Embedding Similarity, High-dimensional Indexing, Semantic Retrieval, ML Infrastructure

Where Matters: Location Feature Engineering for Search & Recs
shaped.ai·2d
📏Range Queries
What you see may not be what you get
thoughtbot.com·6h
🔣Unicode
original ↗
dotat.at·2d·
Discuss: Lobsters, Hacker News, r/programming
🌳Trie Structures
Show HN: VectorSeek – Private AI-Powered Search
vectorseek.ai·5d·
Discuss: Hacker News
🔍BitFunnel
Optimal Scheduling Algorithms for LLM Inference: Theory and Practice
arxiv.org·1d
💻Local LLMs
CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge
arxiv.org·1d
🧮Kolmogorov Complexity
Evading Data Provenance in Deep Neural Networks
arxiv.org·1d
🔍Vector Forensics
ReDSM5: A Reddit Dataset for DSM-5 Depression Detection
arxiv.org·2h
🔍Information Retrieval
RooseBERT: A New Deal For Political Language Modelling
arxiv.org·2h
📝Concrete Syntax
Learning from B Cell Evolution: Adaptive Multi-Expert Diffusion for Antibody Design via Online Optimization
arxiv.org·2h
🔍Vector Forensics
Translating Machine Learning Interpretability into Clinical Insights for ICU Mortality Prediction
arxiv.org·1d
🧠Machine Learning
Self-Navigated Residual Mamba for Universal Industrial Anomaly Detection
arxiv.org·1d
🧠Machine Learning
Modality Bias in LVLMs: Analyzing and Mitigating Object Hallucination via Attention Lens
arxiv.org·1d
📊Rate-Distortion Theory
When Cars Have Stereotypes: Auditing Demographic Bias in Objects from Text-to-Image Models
arxiv.org·2h
🤖Advanced OCR
DD-DeepONet: Domain decomposition and DeepONet for solving partial differential equations in three application scenarios
arxiv.org·2h
🌐Computational Topology
Explainable AI Methods for Neuroimaging: Systematic Failures of Common Tools, the Need for Domain-Specific Validation, and a Proposal for Safe Application
arxiv.org·1d
🧠Machine Learning
EHSAN: Leveraging ChatGPT in a Hybrid Framework for Arabic Aspect-Based Sentiment Analysis in Healthcare
arxiv.org·1d
🔍Information Retrieval
Rein++: Efficient Generalization and Adaptation for Semantic Segmentation with Vision Foundation Models
arxiv.org·1d
📊Learned Metrics
Register Anything: Estimating "Corresponding Prompts" for Segment Anything Model
arxiv.org·1d
🚀SIMD Text Processing
Estimating Worst-Case Frontier Risks of Open-Weight LLMs
arxiv.org·2h
💻Local LLMs