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
Deep Learning-Based Identification of Inconsistent Method Names: How Far Are We?—0
Deep Learning Based Image Retrieval in the JPEG Compressed Domain—0
Automating Legal Concept Interpretation with LLMs: Retrieval, Generation, and Evaluation—0
Automating Horizon Scanning in Future Studies—0
Deep Learning Based Semantic Video Indexing and Retrieval—0
Deep Learning Classification With Noisy Labels—0
Bayesian Deep Learning for Exoplanet Atmospheric Retrieval—0
Deep Learning for Biomedical Information Retrieval: Learning Textual Relevance from Click Logs—0
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild—0
Domain-Specific Retrieval-Augmented Generation Using Vector Stores, Knowledge Graphs, and Tensor Factorization—0
Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives—0
Deep Learning for IoT—0
Deep Learning for MIR Tutorial—0
Deep learning for video game genre classification—0
Deep Learning for Video-Text Retrieval: a Review—0
Deep Learning Initialized Phase Retrieval—0
Deep-learning real-time phase retrieval of imperfect diffraction patterns from X-ray free-electron lasers—0
Deep Learning Relevance: Creating Relevant Information (as Opposed to Retrieving it)—0
Domain Transfer based Data Augmentation for Neural Query Translation—0
Deep Learning Techniques for Future Intelligent Cross-Media Retrieval—0
Deep Learning to Ternary Hash Codes by Continuation—0
Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database—0
Deep Lifelong Cross-modal Hashing—0
Deep Manifold Hashing: A Divide-and-Conquer Approach for Semi-Paired Unsupervised Cross-Modal Retrieval—0
Don't Forget to Connect! Improving RAG with Graph-based Reranking—0
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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