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Retrieval

A methodology that involves selecting relevant data or examples from a large dataset to support tasks like prediction, learning, or inference. It enhances models by providing context or additional information, often used in systems like retrieval-augmented generation or in-context learning.

Papers

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Showing 2826–2850 of 14297 papers

TitleStatusHype
Tree-Based Text Retrieval via Hierarchical Clustering in RAGFrameworks: Application on Taiwanese RegulationsCode0
Are manual annotations necessary for statutory interpretations retrieval?—0
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding—0
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation—0
eLog analysis for accelerators: status and future outlook—0
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models—0
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document RetrievalCode0
Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs—0
RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning—0
EgoPrivacy: What Your First-Person Camera Says About You?Code0
Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation—0
Beyond True or False: Retrieval-Augmented Hierarchical Analysis of Nuanced ClaimsCode0
On the role of non-linear latent features in bipartite generative neural networks—0
ContextRefine-CLIP for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2025Code0
MSTAR: Box-free Multi-query Scene Text Retrieval with Attention RecyclingCode0
CIIR@LiveRAG 2025: Optimizing Multi-Agent Retrieval Augmented Generation through Self-TrainingCode0
Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry ChallengesCode0
Retrieval of Surface Solar Radiation through Implicit Albedo Recovery from Temporal ContextCode0
Q2E: Query-to-Event Decomposition for Zero-Shot Multilingual Text-to-Video Retrieval—0
Improving Personalized Search with Regularized Low-Rank Parameter UpdatesCode0
Adding simple structure at inference improves Vision-Language CompositionalityCode0
ScholarSearch: Benchmarking Scholar Searching Ability of LLMs—0
MAGMaR Shared Task System Description: Video Retrieval with OmniEmbed—0
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question AnsweringCode0
RAISE: Enhancing Scientific Reasoning in LLMs via Step-by-Step RetrievalCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53—Unverified
2ElasticsearchQueries per second21.8—Unverified
3BM25-PTQueries per second6.49—Unverified
4Rank-BM25Queries per second1.18—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88—Unverified
2ElasticsearchQueries per second7.11—Unverified
3Rank-BM25Queries per second0.04—Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85—Unverified
2ElasticsearchQueries per second12.16—Unverified
3Rank-BM25Queries per second0.1—Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32—Unverified
2RA-VQARecall@582.84—Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30—Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1—Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55—Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222—Unverified