PDF Retrieval Augmented Question Answering
arxiv.org·1d
🔍Information Retrieval
Ask HN: Feedback on "QSS" – A Quantized Vector Search Engine in C
news.ycombinator.com·1d·
Discuss: Hacker News
🗂️Vector Databases
Contextualizing SUTRA: Advancements in Multilingual & Efficient LLMs
hackernoon.com·2h
💻Local LLMs
A Complete Guide to Retrieval-Augmented Generation
dev.to·2d·
Discuss: DEV
🌀Brotli Internals
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
arxiv.org·1d
🌀Riemannian Computing
Using an LLM for query planning in RAG –> 40% better answer relevance
techcommunity.microsoft.com·22h·
Discuss: Hacker News
🔍Information Retrieval
Fast and Distributed Equivariant Graph Neural Networks by Virtual Node Learning
arxiv.org·14h
🌀Riemannian Computing
Kumo Surfaces Structured Data Patterns Generative AI Misses
thenewstack.io·4h
📊Graph Databases
Granular-Ball-Induced Multiple Kernel K-Means
arxiv.org·1d
🌀Differential Geometry
Greedy Is Good. Less Greedy May Be Better
gojiberries.io·17h·
Discuss: Hacker News
🧮Kolmogorov Complexity
Probabilistic and reinforced mining of association rules
arxiv.org·1d
🧠Learned Indexes
Markov-Enhanced Clustering for Long Document Summarization: Tackling the 'Lost in the Middle' Challenge with Large Language Models
arxiv.org·1d
📄Text Chunking
MemeMind: A Large-Scale Multimodal Dataset with Chain-of-Thought Reasoning for Harmful Meme Detection
arxiv.org·14h
🧮Vector Embeddings
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
arxiv.org·14h
🎛️Feed Filtering
Retrieval-Augmented Generation (RAG) System Architecture and Workflow
dev.to·18h·
Discuss: DEV
🔍Information Retrieval
Statistical Multicriteria Evaluation of LLM-Generated Text
arxiv.org·1d
📋Document Grammar
Text2Struct: A Machine Learning Pipeline for Mining Structured Data from Text
arxiv.org·1d
🔤Character Classification
RAG Made Simple: Simplicity’s Approach to Modular Retrieval & Generation (Part 1)
dev.to·3d·
Discuss: DEV
🌀Brotli Internals
ANOVA-boosting for Random Fourier Features
arxiv.org·14h
🧠Machine Learning
Named Entity Recognition using Bidirectional LSTM and Conditional Random Fields
dev.to·3d·
Discuss: DEV
🤖Grammar Induction