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 3701–3725 of 14297 papers

TitleStatusHype
Text-to-SQL Generation for Question Answering on Electronic Medical RecordsCode0
KITAB: Evaluating LLMs on Constraint Satisfaction for Information RetrievalCode0
KGR^4: Retrieval, Retrospect, Refine and Rethink for Commonsense GenerationCode0
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User RecommendationsCode0
Keyword Spotting Simplified: A Segmentation-Free Approach using Character Counting and CTC re-scoringCode0
KidneyTalk-open: No-code Deployment of a Private Large Language Model with Medical Documentation-Enhanced Knowledge Database for Kidney DiseaseCode0
Key-Value Retrieval Networks for Task-Oriented DialogueCode0
Conversational Gold: Evaluating Personalized Conversational Search System using Gold NuggetsCode0
DeSIGN: Design Inspiration from Generative NetworksCode0
Designing an Evaluation Framework for Large Language Models in Astronomy ResearchCode0
KiloGrams: Very Large N-Grams for Malware ClassificationCode0
Learning Disentangled Representations via Mutual Information EstimationCode0
Conversational Factor Information Retrieval Model (ConFIRM)Code0
Conversational BrowsingCode0
A Topological Nomenclature for 3D Shape Analysis in ConnectomicsCode0
KATE: K-Competitive Autoencoder for TextCode0
Conventional Contrastive Learning Often Falls Short: Improving Dense Retrieval with Cross-Encoder Listwise Distillation and Synthetic DataCode0
KazQAD: Kazakh Open-Domain Question Answering DatasetCode0
K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected CompressorCode0
Beyond MeSH: Fine-Grained Semantic Indexing of Biomedical Literature based on Weak SupervisionCode0
JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world ClaimsCode0
Judgement Citation Retrieval using Contextual SimilarityCode0
Kadabra: Adapting Kademlia for the Decentralized WebCode0
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting FrameworkCode0
A Tool for Conducting User Studies on Mobile DevicesCode0
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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