TRIM: Accelerating High-Dimensional Vector Similarity Search with Enhanced Triangle-Inequality-Based Pruning
arxiv.org·23h
🗂️Vector Indexes
Effective Clustering for Large Multi-Relational Graphs
arxiv.org·23h
📊Vector Clustering
Algorithms to Live By: Sliding Window
jordangoodman.bearblog.dev·7h
🔃Feed Algorithms
Learning ON Large Datasets Using Bit-String Trees
arxiv.org·23h
🔢BitNet
Drama Model Inference Efficiency Boosted by 1.7x-2.3x
pytorch.org·4h·
Discuss: Hacker News
🧠LLM Inference
A Tie-breaking based Local Search Algorithm for Stable Matching Problems
arxiv.org·23h
🧮SMT Solvers
Breaking the code in network theory: Bimodularity reveals direction of influence in complex systems
phys.org·9h
🍄Mycorrhizal Networks
Why is my "optimized" O(1) space Python code slower than the "basic" O(n) space version?
leetcode.com·22h·
Discuss: r/programming
📑Inverted Indexes
An experimental approach: The graph of graphs
arxiv.org·23h
📊Vector Databases
Historic recurrence in search: Why AI feels familiar and what’s next
searchengineland.com·14h
💫Search UX
Propose and Rectify: A Forensics-Driven MLLM Framework for Image Manipulation Localization
arxiv.org·23h
📊Vector Databases
Feature-Refined Unsupervised Model for Loanword Detection
arxiv.org·23h
🔎Meilisearch
Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations
arxiv.org·23h
🔍Information Retrieval
MMTok: Multimodal Coverage Maximization for Efficient Inference of VLMs
arxiv.org·23h
🧠LLM Inference
Accelerating Historical K-Core Search in Temporal Graphs
arxiv.org·23h
🏗️Search Infrastructure
A Model for all Ranges
qt.io·13h·
Discuss: Lobsters, Hacker News, r/programming
🎯Qdrant
Introduction to Artificial Neural Networks – Part 1 (2013)
theprojectspot.com·32m·
Discuss: Hacker News
📊Vector Databases
Limits of message passing for node classification: How class-bottlenecks restrict signal-to-noise ratio
arxiv.org·23h
🔢BitNet
Robust Point Cloud Registration via Geometric Overlapping Guided Rotation Search
arxiv.org·23h
🎯Qdrant
ISALux: Illumination and Segmentation Aware Transformer Employing Mixture of Experts for Low Light Image Enhancement
arxiv.org·23h
🔤Font Rendering