🔍 Information Retrieval - linearizable · Scour

The Pre-Training Study of Expanded-SPLADE Models on Web Document Titles 📌Embedding Retrieval

Hypencoder Revisited: Reproducibility and Analysis of Non-Linear Scoring for First-Stage Retrieval 📌Embedding Retrieval

A Hybrid Retrieval and Reranking Framework for Evidence-Grounded Retrieval-Augmented Generation 📌Embedding Retrieval

Reproducing Adaptive Reranking for Reasoning-Intensive IR 🔍SPLADE

A Survey of Reasoning-Intensive Retrieval: Progress and Challenges 🔍Search Indexing

Benchmarking Retrieval Strategies for Biomedical Retrieval-Augmented Generation: A Controlled Empirical Study 📌Embedding Retrieval

When to Retrieve During Reasoning: Adaptive Retrieval for Large Reasoning Models 📏ANN Benchmarks

Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation 🔍Search Indexing

A Reproducibility Study of LLM-Based Query Reformulation 🧠Query Planners

LLM-Oriented Information Retrieval: A Denoising-First Perspective 🔍SPLADE

FollowTable: A Benchmark for Instruction-Following Table Retrieval 📏ANN Benchmarks

NeocorRAG: Less Irrelevant Information, More Explicit Evidence, and More Effective Recall via Evidence Chains 📌Embedding Retrieval

Structure-Aware Chunking for Tabular Data in Retrieval-Augmented Generation 📇Indexing Strategies

Negative Data Mining for Contrastive Learning in Dense Retrieval at IKEA.com 🔍Search Indexing

RAQG-QPP: Query Performance Prediction with Retrieved Query Variants and Retrieval Augmented Query Generation 🧠Query Planners

Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented Generation 🔍SPLADE

Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG 🎯Vector Search

SCARV: Structure-Constrained Aggregation for Stable Sample Ranking in Redundant NLP Datasets 🔍Vector Search Algorithms

Retrieval-Augmented Reasoning for Chartered Accountancy 🧠Query Planners

From Unstructured to Structured: LLM-Guided Attribute Graphs for Entity Search and Ranking 📌Embedding Retrieval

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