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 3751–3775 of 14297 papers

TitleStatusHype
KATE: K-Competitive Autoencoder for TextCode0
KazQAD: Kazakh Open-Domain Question Answering DatasetCode0
ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented GeneratorCode0
KEPR: Knowledge Enhancement and Plausibility Ranking for Generative Commonsense Question AnsweringCode0
JustiLM: Few-shot Justification Generation for Explainable Fact-Checking of Real-world ClaimsCode0
Phrase-Indexed Question Answering: A New Challenge for Scalable Document ComprehensionCode0
Kadabra: Adapting Kademlia for the Decentralized WebCode0
JTAV: Jointly Learning Social Media Content Representation by Fusing Textual, Acoustic, and Visual FeaturesCode0
Contrastive Representation Learning for Conversational Question Answering over Knowledge GraphsCode0
Joint Searching and Grounding: Multi-Granularity Video Content RetrievalCode0
Beyond Two-Tower Matching: Learning Sparse Retrievable Cross-Interactions for RecommendationCode0
Judgement Citation Retrieval using Contextual SimilarityCode0
KAP: MLLM-assisted OCR Text Enhancement for Hybrid Retrieval in Chinese Non-Narrative DocumentsCode0
Know2Vec: A Black-Box Proxy for Neural Network RetrievalCode0
Joint Learning of Sentence Embeddings for Relevance and EntailmentCode0
Plan-and-Refine: Diverse and Comprehensive Retrieval-Augmented GenerationCode0
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020Code0
JIR-Arena: The First Benchmark Dataset for Just-in-time Information RecommendationCode0
JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering CapabilityCode0
Joint Embedding of 3D Scan and CAD ObjectsCode0
Joint Multisided Exposure Fairness for RecommendationCode0
JAZZVAR: A Dataset of Variations found within Solo Piano Performances of Jazz Standards for Music OverpaintingCode0
Contrastive learning for natural language-based vehicle retrievalCode0
JavaBERT: Training a transformer-based model for the Java programming languageCode0
JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its ApplicationsCode0
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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