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 3501–3525 of 14297 papers

TitleStatusHype
Exploring the Nexus Between Retrievability and Query Generation Strategies—0
kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies—0
Clothes-Changing Person Re-Identification with Feasibility-Aware Intermediary Matching—0
Competitive Retrieval: Going Beyond the Single Query—0
Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight DetectionCode1
Learning with Noisy Correspondence—0
Multilingual Evaluation of Semantic Textual Relatedness—0
Generative AI Agent for Next-Generation MIMO Design: Fundamentals, Challenges, and Vision—0
Introducing Super RAGs in Mistral 8x7B-v1—0
Approximate Cluster-Based Sparse Document Retrieval with Segmented Maximum Term Weights—0
Lightweight Multi-System Multivariate Interconnection and Divergence DiscoveryCode0
Reducing hallucination in structured outputs via Retrieval-Augmented Generation—0
Accessibility in Information Retrieval—0
Improving Health Question Answering with Reliable and Time-Aware Evidence RetrievalCode0
Generalized Contrastive Learning for Multi-Modal Retrieval and RankingCode2
Connecting NeRFs, Images, and TextCode0
Extending Translate-Train for ColBERT-X to African Language CLIR—0
Generative Information Retrieval Evaluation—0
Overview of the TREC 2023 NeuCLIR Track—0
Do You Remember? Dense Video Captioning with Cross-Modal Memory RetrievalCode2
Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models—0
LLMs in Biomedicine: A study on clinical Named Entity RecognitionCode0
Quati: A Brazilian Portuguese Information Retrieval Dataset from Native SpeakersCode0
Knowledge graphs for empirical concept retrievalCode0
Semantically-correlated memories in a dense associative modelCode1
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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