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🔍 Information Retrieval

TF-IDF, BM25, Query Expansion, Relevance Feedback, Result Ranking

Expanding Relevance Judgments for Medical Case-based Retrieval Task with Multimodal LLMs
arxiv.org·1d
🎯Retrieval Systems
Using an LLM for query planning in RAG –> 40% better answer relevance
techcommunity.microsoft.com·21h·
Discuss: Hacker News
🎯Retrieval Systems
Contextualizing SUTRA: Advancements in Multilingual & Efficient LLMs
hackernoon.com·1h
💻Local LLMs
Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
arxiv.org·1d
📊Feed Optimization
Retrieval-Augmented Generation (RAG) System Architecture and Workflow
dev.to·17h·
Discuss: DEV
📥Feed Aggregation
PDF Retrieval Augmented Question Answering
arxiv.org·1d
📊Multi-vector RAG
MemeMind: A Large-Scale Multimodal Dataset with Chain-of-Thought Reasoning for Harmful Meme Detection
arxiv.org·13h
🧮Vector Embeddings
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models
arxiv.org·1d
🕸️Graph Embeddings
Join me if you can: ClickHouse vs. Databricks & Snowflake - Part 2
clickhouse.com·17h·
Discuss: Hacker News
🧠Query Planners
LLMs for Customized Marketing Content Generation and Evaluation at Scale
arxiv.org·1d
📊Feed Optimization
Ask HN: Feedback on "QSS" – A Quantized Vector Search Engine in C
news.ycombinator.com·1d·
Discuss: Hacker News
🗂️Vector Databases
What LLMs Know About Their Users
schneier.com·6h·
Discuss: Hacker News
💻Local LLMs
Text2Struct: A Machine Learning Pipeline for Mining Structured Data from Text
arxiv.org·1d
🔤Character Classification
Probabilistic and reinforced mining of association rules
arxiv.org·1d
🧠Learned Indexes
Conversational Intent-Driven GraphRAG: Enhancing Multi-Turn Dialogue Systems through Adaptive Dual-Retrieval of Flow Patterns and Context Semantics
arxiv.org·13h
🧮Prolog Parsing
Why Your Next LLM Might Not Have A Tokenizer
towardsdatascience.com·22h
🤖Grammar Induction
Machine Learning Fundamentals: active learning project
dev.to·2h·
Discuss: DEV
🧠Machine Learning
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
arxiv.org·13h
🎛️Feed Filtering
Uncertainty Quantification on Graph Learning: A Survey
arxiv.org·13h
🕸️Graph Embeddings
Language Bottleneck Models: A Framework for Interpretable Knowledge Tracing and Beyond
arxiv.org·2d
🧮Kolmogorov Complexity
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