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

Showing 24262450 of 14297 papers

TitleStatusHype
H-STAR: LLM-driven Hybrid SQL-Text Adaptive Reasoning on TablesCode1
Building A Coding Assistant via the Retrieval-Augmented Language ModelCode1
Clickbait Spoiling via Question Answering and Passage RetrievalCode1
Answering Complex Open-Domain Questions with Multi-Hop Dense RetrievalCode1
HUE: Pretrained Model and Dataset for Understanding Hanja Documents of Ancient KoreaCode1
CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language PairsCode1
Cross-View Language Modeling: Towards Unified Cross-Lingual Cross-Modal Pre-trainingCode1
HyP^2 Loss: Beyond Hypersphere Metric Space for Multi-label Image RetrievalCode1
Hyperbolic Image EmbeddingsCode1
Cross Modal Retrieval with Querybank NormalisationCode1
Clinfo.ai: An Open-Source Retrieval-Augmented Large Language Model System for Answering Medical Questions using Scientific LiteratureCode1
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global InferenceCode1
Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question AnsweringCode1
Identical Image Retrieval using Deep LearningCode1
Identity-Guided Human Semantic Parsing for Person Re-IdentificationCode1
CLIP2Video: Mastering Video-Text Retrieval via Image CLIPCode1
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip RetrievalCode1
Cross-Modal Retrieval with Partially Mismatched PairsCode1
Towards Completeness-Oriented Tool Retrieval for Large Language ModelsCode1
Cross-modal Scene Graph Matching for Relationship-aware Image-Text RetrievalCode1
Cross-Modal Retrieval for Motion and Text via DopTriple LossCode1
1st Place Solution to Google Landmark Retrieval 2020Code1
Image Retrieval on Real-life Images with Pre-trained Vision-and-Language ModelsCode1
3D-CSL: self-supervised 3D context similarity learning for Near-Duplicate Video RetrievalCode1
Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and MiningCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified