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 9201–9225 of 14297 papers

TitleStatusHype
On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search—0
Replay in Deep Learning: Current Approaches and Missing Biological Elements—0
Sub-GMN: The Neural Subgraph Matching Network Model—0
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant AnalysisCode0
FeTaQA: Free-form Table Question AnsweringCode1
CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning—0
A Joint Network for Grasp Detection Conditioned on Natural Language Commands—0
Frozen in Time: A Joint Video and Image Encoder for End-to-End RetrievalCode1
UC2: Universal Cross-lingual Cross-modal Vision-and-Language Pre-training—0
Scalable Visual Attribute Extraction through Hidden Layers of a Residual ConvNet—0
Learning by Aligning Videos in Time—0
Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation ModelsCode1
An In-depth Analysis of Passage-Level Label Transfer for Contextual Document RankingCode0
Fast and Accurate Normal Estimation for Point Cloud via Patch Stitching—0
Large Scale Visual Food Recognition—0
Kaleido-BERT: Vision-Language Pre-training on Fashion DomainCode1
Self-supervised Image-text Pre-training With Mixed Data In Chest X-rays—0
Probabilistic Analogical Mapping with Semantic Relation Networks—0
Thinking Fast and Slow: Efficient Text-to-Visual Retrieval with Transformers—0
Grounding Physical Concepts of Objects and Events Through Dynamic Visual Reasoning—0
TREC 2020 Podcasts Track Overview—0
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval—0
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised LearningCode1
Whitening Sentence Representations for Better Semantics and Faster RetrievalCode1
Proxy Synthesis: Learning with Synthetic Classes for Deep Metric LearningCode1
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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