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 426–450 of 14297 papers

TitleStatusHype
MacRAG: Compress, Slice, and Scale-up for Multi-Scale Adaptive Context RAGCode1
A Grounded Memory System For Smart Personal Assistants—0
NeoQA: Evidence-based Question Answering with Generated News EventsCode0
ArtRAG: Retrieval-Augmented Generation with Structured Context for Visual Art Understanding—0
Query-driven Document-level Scientific Evidence Extraction from Biomedical Studies—0
Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems—0
Artifact Sharing for Information Retrieval Research—0
LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device CollaborationCode0
VR-RAG: Open-vocabulary Species Recognition with RAG-Assisted Large Multi-Modal Models—0
Lost in OCR Translation? Vision-Based Approaches to Robust Document Retrieval—0
FG-CLIP: Fine-Grained Visual and Textual AlignmentCode4
An Open-Source Dual-Loss Embedding Model for Semantic Retrieval in Higher Education—0
QBR: A Question-Bank-Based Approach to Fine-Grained Legal Knowledge Retrieval for the General Public—0
Fine-Tuning Large Language Models and Evaluating Retrieval Methods for Improved Question Answering on Building Codes—0
HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights—0
Retrieval Augmented Generation Evaluation for Health Documents—0
The stability of generalized phase retrieval problem over compact groups—0
Theoretical Guarantees for LT-TTD: A Unified Transformer-based Architecture for Two-Level Ranking Systems—0
ZeroSearch: Incentivize the Search Capability of LLMs without SearchingCode5
LLM-Independent Adaptive RAG: Let the Question Speak for Itself—0
Retrieval Augmented Time Series ForecastingCode1
QBD-RankedDataGen: Generating Custom Ranked Datasets for Improving Query-By-Document Search Using LLM-Reranking with Reduced Human Effort—0
Attonsecond Streaking Phase Retrieval Via Deep Learning Methods—0
Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions—0
Multimodal Benchmarking and Recommendation of Text-to-Image Generation ModelsCode0
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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