SOTAVerified

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 51–100 of 14297 papers

TitleStatusHype
Dialogic Pedagogy for Large Language Models: Aligning Conversational AI with Proven Theories of Learning—0
Controlled Retrieval-augmented Context Evaluation for Long-form RAG—0
Retrieval-Confused Generation is a Good Defender for Privacy Violation Attack of Large Language Models—0
RAG-6DPose: Retrieval-Augmented 6D Pose Estimation via Leveraging CAD as Knowledge Base—0
From Web Search towards Agentic Deep Research: Incentivizing Search with Reasoning AgentsCode4
Referring Expression Instance Retrieval and A Strong End-to-End Baseline—0
Phase retrieval with rank d measurements -- descending algorithms phase transitions—0
Phase transition of descending phase retrieval algorithms—0
H-QuEST: Accelerating Query-by-Example Spoken Term Detection with Hierarchical Indexing—0
A Simple Contrastive Framework Of Item Tokenization For Generative Recommendation—0
Fine-grained Image Retrieval via Dual-Vision Adaptation—0
REIS: A High-Performance and Energy-Efficient Retrieval System with In-Storage Processing—0
From RAG to Agentic: Validating Islamic-Medicine Responses with LLM Agents—0
Optimizing Web-Based AI Query Retrieval with GPT Integration in LangChain A CoT-Enhanced Prompt Engineering Approach—0
Veracity: An Open-Source AI Fact-Checking System—0
cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax TreeCode2
ImpliRet: Benchmarking the Implicit Fact Retrieval ChallengeCode0
AviationLLM: An LLM-based Knowledge System for Aviation Training—0
Reimagining Target-Aware Molecular Generation through Retrieval-Enhanced Aligned Diffusion—0
EVA02-AT: Egocentric Video-Language Understanding with Spatial-Temporal Rotary Positional Embeddings and Symmetric OptimizationCode0
A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis—0
InsertRank: LLMs can reason over BM25 scores to Improve Listwise Reranking—0
Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval—0
RMIT-ADM+S at the SIGIR 2025 LiveRAG ChallengeCode1
Refining music sample identification with a self-supervised graph neural networkCode1
AdaVideoRAG: Omni-Contextual Adaptive Retrieval-Augmented Efficient Long Video UnderstandingCode0
Tree-Based Text Retrieval via Hierarchical Clustering in RAGFrameworks: Application on Taiwanese RegulationsCode0
Hierarchical Multi-Positive Contrastive Learning for Patent Image Retrieval—0
A Semantically-Aware Relevance Measure for Content-Based Medical Image Retrieval Evaluation—0
Are manual annotations necessary for statutory interpretations retrieval?—0
What Matters in Learning from Large-Scale Datasets for Robot Manipulation—0
SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative RefinementCode1
DeSPITE: Exploring Contrastive Deep Skeleton-Pointcloud-IMU-Text Embeddings for Advanced Point Cloud Human Activity Understanding—0
eLog analysis for accelerators: status and future outlook—0
SciSage: A Multi-Agent Framework for High-Quality Scientific Survey Generation—0
MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document RetrievalCode0
CORONA: A Coarse-to-Fine Framework for Graph-based Recommendation with Large Language Models—0
FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented GenerationCode3
RAG+: Enhancing Retrieval-Augmented Generation with Application-Aware Reasoning—0
DeepResearch Bench: A Comprehensive Benchmark for Deep Research AgentsCode4
Chunk Twice, Embed Once: A Systematic Study of Segmentation and Representation Trade-offs in Chemistry-Aware Retrieval-Augmented Generation—0
EgoPrivacy: What Your First-Person Camera Says About You?Code0
Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs—0
GLAP: General contrastive audio-text pretraining across domains and languagesCode2
Reasoning RAG via System 1 or System 2: A Survey on Reasoning Agentic Retrieval-Augmented Generation for Industry ChallengesCode0
ContextRefine-CLIP for EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2025Code0
Constructing and Evaluating Declarative RAG Pipelines in PyTerrierCode1
On the role of non-linear latent features in bipartite generative neural networks—0
MSTAR: Box-free Multi-query Scene Text Retrieval with Attention RecyclingCode0
TableRAG: A Retrieval Augmented Generation Framework for Heterogeneous Document ReasoningCode2
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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