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 151–200 of 14297 papers

TitleStatusHype
Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query ExpansionCode0
From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained VideosCode0
PRJ: Perception-Retrieval-Judgement for Generated Images—0
A Retrieval-Augmented Multi-Agent Framework for Psychiatry DiagnosisCode0
Uniqueness of phase retrieval from offset linear canonical transform—0
Preface to the Special Issue of the TAL Journal on Scholarly Document Processing—0
Magic Mushroom: A Customizable Benchmark for Fine-grained Analysis of Retrieval Noise Erosion in RAG Systems—0
Contrast & Compress: Learning Lightweight Embeddings for Short Trajectories—0
TriPSS: A Tri-Modal Keyframe Extraction Framework Using Perceptual, Structural, and Semantic Representations—0
Retrieval-Augmented Generation as Noisy In-Context Learning: A Unified Theory and Risk Bounds—0
MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query—0
MotionRAG-Diff: A Retrieval-Augmented Diffusion Framework for Long-Term Music-to-Dance Generation—0
Enhancing Automatic PT Tagging for MEDLINE Citations Using Transformer-Based Models—0
Hybrid AI for Responsive Multi-Turn Online Conversations with Novel Dynamic Routing and Feedback Adaptation—0
Latent Structured Hopfield Network for Semantic Association and RetrievalCode0
Engram Memory Encoding and Retrieval: A Neurocomputational Perspective—0
Small Stickers, Big Meanings: A Multilingual Sticker Semantic Understanding Dataset with a Gamified Approach—0
Retrieval-Augmented Generation of Ontologies from Relational Databases—0
Predicting Empirical AI Research Outcomes with Language Models—0
MCP-Zero: Active Tool Discovery for Autonomous LLM Agents—0
RARE: Retrieval-Aware Robustness Evaluation for Retrieval-Augmented Generation SystemsCode0
CoQuIR: A Comprehensive Benchmark for Code Quality-Aware Information Retrieval—0
PAKTON: A Multi-Agent Framework for Question Answering in Long Legal AgreementsCode1
FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models—0
SORCE: Small Object Retrieval in Complex EnvironmentsCode0
SA-Person: Text-Based Person Retrieval with Scene-aware Re-ranking—0
Adversarial Threat Vectors and Risk Mitigation for Retrieval-Augmented Generation Systems—0
Optimizing the Interface Between Knowledge Graphs and LLMs for Complex Reasoning—0
E^2GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness—0
KEVER^2: Knowledge-Enhanced Visual Emotion Reasoning and Retrieval—0
CoRet: Improved Retriever for Code Editing—0
Advancing Compositional Awareness in CLIP with Efficient Fine-Tuning—0
Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document EmbeddingsCode1
ClueAnchor: Clue-Anchored Knowledge Reasoning Exploration and Optimization for Retrieval-Augmented GenerationCode0
A Mathematical Perspective On Contrastive Learning—0
On the Scaling of Robustness and Effectiveness in Dense Retrieval—0
Cloud Optical Thickness Retrievals Using Angle Invariant Attention Based Deep Learning Models—0
RealDrive: Retrieval-Augmented Driving with Diffusion Models—0
Harnessing Large Language Models for Scientific Novelty Detection—0
Leveraging Auxiliary Information in Text-to-Video Retrieval: A Review—0
mRAG: Elucidating the Design Space of Multi-modal Retrieval-Augmented Generation—0
Retrieval Augmented Generation based Large Language Models for Causality MiningCode0
Query Routing for Retrieval-Augmented Language Models—0
Deep Retrieval at CheckThat! 2025: Identifying Scientific Papers from Implicit Social Media Mentions via Hybrid Retrieval and Re-Ranking—0
From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information RetrievalCode0
MCP Safety Training: Learning to Refuse Falsely Benign MCP Exploits using Improved Preference Alignment—0
DocReRank: Single-Page Hard Negative Query Generation for Training Multi-Modal RAG Rerankers—0
Learning World Models for Interactive Video Generation—0
LegalSearchLM: Rethinking Legal Case Retrieval as Legal Elements Generation—0
SkewRoute: Training-Free LLM Routing for Knowledge Graph Retrieval-Augmented Generation via Score Skewness of Retrieved Context—0
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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