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 1301–1350 of 14297 papers

TitleStatusHype
Zep: A Temporal Knowledge Graph Architecture for Agent MemoryCode12
ImageRef-VL: Enabling Contextual Image Referencing in Vision-Language ModelsCode0
Investigating the Scalability of Approximate Sparse Retrieval Algorithms to Massive DatasetsCode2
KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval—0
Poison-RAG: Adversarial Data Poisoning Attacks on Retrieval-Augmented Generation in Recommender SystemsCode0
MASS: Overcoming Language Bias in Image-Text Matching—0
RACCOON: A Retrieval-Augmented Generation Approach for Location Coordinate Capture from News ArticlesCode0
Question-to-Question Retrieval for Hallucination-Free Knowledge Access: An Approach for Wikipedia and Wikidata Question Answering—0
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented GenerationCode7
TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval—0
Generative Retrieval for Book search—0
A Method for Multi-Hop Question Answering on Persian Knowledge Graph—0
LD-DETR: Loop Decoder DEtection TRansformer for Video Moment Retrieval and Highlight DetectionCode1
Multi-modal Fusion and Query Refinement Network for Video Moment Retrieval and Highlight Detection—0
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments—0
A Resource-Efficient Training Framework for Remote Sensing Text--Image RetrievalCode0
GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems—0
ArxEval: Evaluating Retrieval and Generation in Language Models for Scientific Literature—0
MechIR: A Mechanistic Interpretability Framework for Information RetrievalCode1
FRAG: A Flexible Modular Framework for Retrieval-Augmented Generation based on Knowledge Graphs—0
Multi-stage Training of Bilingual Islamic LLM for Neural Passage Retrieval—0
AirRAG: Activating Intrinsic Reasoning for Retrieval Augmented Generation via Tree-based Search—0
Passage Segmentation of Documents for Extractive Question Answering—0
Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMsCode0
Conversational Text Extraction with Large Language Models Using Retrieval-Augmented Systems—0
Shape-Based Single Object Classification Using Ensemble Method Classifiers—0
CyberMentor: AI Powered Learning Tool Platform to Address Diverse Student Needs in Cybersecurity EducationCode0
To Retrieve or Not to Retrieve? Uncertainty Detection for Dynamic Retrieval Augmented Generation—0
MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents—0
Guiding Retrieval using LLM-based Listwise RankersCode0
Continuous Approach to Phase (Norm) Retrieval Frames—0
Knowledge Graph-based Retrieval-Augmented Generation for Schema MatchingCode1
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAGCode5
Benchmarking Robustness of Contrastive Learning Models for Medical Image-Report Retrieval—0
GOTPR: General Outdoor Text-based Place Recognition Using Scene Graph Retrieval with OpenStreetMapCode1
Leveraging Large Language Models as Knowledge-Driven Agents for Reliable Retrosynthesis PlanningCode1
Unsupervised Query Routing for Retrieval Augmented Generation—0
ADAM-1: AI and Bioinformatics for Alzheimer's Detection and Microbiome-Clinical Data Integrations—0
ReARTeR: Retrieval-Augmented Reasoning with Trustworthy Process RewardingCode4
Eliciting In-context Retrieval and Reasoning for Long-context Large Language Models—0
Zero-shot Video Moment Retrieval via Off-the-shelf Multimodal Large Language Models—0
Talk to Right Specialists: Routing and Planning in Multi-agent System for Question Answering—0
Multimodal semantic retrieval for product searchCode0
Large Language Models: New Opportunities for Access to Science—0
Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning—0
Enhancing Retrieval-Augmented Generation: A Study of Best PracticesCode2
Rethinking Knowledge in Distillation: An In-context Sample Retrieval Perspective—0
Parallel Key-Value Cache Fusion for Position Invariant RAG—0
WebWalker: Benchmarking LLMs in Web TraversalCode11
The Devil is in the Spurious Correlation: Boosting Moment Retrieval via Temporal Dynamic Learning—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