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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 5701–5725 of 14297 papers

TitleStatusHype
Give Me More Details: Improving Fact-Checking with Latent Retrieval—0
GIVE: Structured Reasoning with Knowledge Graph Inspired Veracity Extrapolation—0
Giving Lexical Resources a Second Life: D\'emonette, a Multi-sourced Morpho-semantic Network for French—0
GLAD: Global-Local-Alignment Descriptor for Pedestrian Retrieval—0
FaNS: a Facet-based Narrative Similarity Metric—0
Context Tuning for Retrieval Augmented Generation—0
CodeXEmbed: A Generalist Embedding Model Family for Multiligual and Multi-task Code Retrieval—0
A Critical Review of Causal Reasoning Benchmarks for Large Language Models—0
Tencent Text-Video Retrieval: Hierarchical Cross-Modal Interactions with Multi-Level Representations—0
GliLem: Leveraging GliNER for Contextualized Lemmatization in Estonian—0
FaMTEB: Massive Text Embedding Benchmark in Persian Language—0
Code to Comment "Translation": Data, Metrics, Baselining & Evaluation—0
Code-switched inspired losses for spoken dialog representations—0
A Simple and Effective Method of Cross-Lingual Plagiarism Detection—0
Humpty Dumpty: Controlling Word Meanings via Corpus Poisoning—0
Global Image Sentiment Transfer—0
Global–Local Information Soft-Alignment for Cross-Modal Remote-Sensing Image–Text Retrieval—0
Global Ranking Using Continuous Conditional Random Fields—0
HuTO: an Human Time Ontology for Semantic Web Applications—0
FAKTA: An Automatic End-to-End Fact Checking System—0
Code-switched inspired losses for generic spoken dialog representations—0
GLRT-Based Metric Learning for Remote Sensing Object Retrieval—0
"Glue pizza and eat rocks" -- Exploiting Vulnerabilities in Retrieval-Augmented Generative Models—0
GME: Improving Universal Multimodal Retrieval by Multimodal LLMs—0
Faithful learning with sure data for lung nodule diagnosis—0
Show:102550
← PrevPage 229 of 572Next →
All datasetsQuora Question PairsHotpotQANatural QuestionsOK-VQAInfoSeekMVKPolyvorePubMedQAPubMedQA corpus with metadataToolLensคลิปไวรัล!! ไอซ์ ปรีชญา ลืมปิดไลฟ์สดตอนอาบน้ำ ถูกแชร์กระหึ่มเน็ต

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