🔍 Information Retrieval - matmat · Scour

RLM-on-KG: Heuristics First, LLMs When Needed: Adaptive Retrieval Control over Mention Graphs for Scattered Evidence 🎯Retrieval Systems

Coverage, Not Averages: Semantic Stratification for Trustworthy Retrieval Evaluation 📊Search Ranking

Association Is Not Similarity: Learning Corpus-Specific Associations for Multi-Hop Retrieval 🗂️Vector Search

vstash: Local-First Hybrid Retrieval with Adaptive Fusion for LLM Agents 🗂️Vector Search

Semantic Recall for Vector Search 🗂️Vector Search

SPIRE: Structure-Preserving Interpretable Retrieval of Evidence 🔍Semantic Search

UsefulBench: Towards Decision-Useful Information as a Target for Information Retrieval 🔍Semantic Search

LiteSemRAG: Lightweight LLM-Free Semantic-Aware Graph Retrieval for Robust RAG 📊Multi-vector RAG

Bayesian Active Learning with Gaussian Processes Guided by LLM Relevance Scoring for Dense Passage Retrieval 🔍Semantic Search

FlexStructRAG: Flexible Structure-Aware Multi-Granular Relational Retrieval for RAG 📊Multi-vector RAG

On the Robustness of LLM-Based Dense Retrievers: A Systematic Analysis of Generalizability and Stability 🎯Retrieval Systems

SeekerGym: A Benchmark for Reliable Information Seeking 🧠Intelligence Compression

Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking 🧠Learned Indexing

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders 💻Local LLMs

DocQAC: Adaptive Trie-Guided Decoding for Effective In-Document Query Auto-Completion 🌳Trie Structures

Dual-View Training for Instruction-Following Information Retrieval 🎯Retrieval Systems

MARA: A Multimodal Adaptive Retrieval-Augmented Framework for Document Question Answering 🧮Vector Embeddings

A Reference Architecture for Agentic Hybrid Retrieval in Dataset Search 🎯Retrieval Systems

STRIDE: Strategic Iterative Decision-Making for Retrieval-Augmented Multi-Hop Question Answering 🗂️Vector Search

Diagnosable ColBERT: Debugging Late-Interaction Retrieval Models Using a Learned Latent Space as Reference 🧮Vector Embeddings

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