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 851–875 of 14297 papers

TitleStatusHype
Structured Multi-Track Accompaniment Arrangement via Style Prior ModellingCode1
Dual-Modal Attention-Enhanced Text-Video Retrieval with Triplet Partial Margin Contrastive LearningCode1
DeeperImpact: Optimizing Sparse Learned Index StructuresCode1
Text Proxy: Decomposing Retrieval from a 1-to-N Relationship into N 1-to-1 Relationships for Text-Video RetrievalCode1
Accounting for Input Noise in Gaussian Process Parameter RetrievalCode1
Dynamic Knowledge Routing Network For Target-Guided Open-Domain ConversationCode1
Decomposed Prompting: A Modular Approach for Solving Complex TasksCode1
Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial LearningCode1
The Future is Sparse: Embedding Compression for Scalable Retrieval in Recommender SystemsCode1
Dynamic Semantic Graph Construction and Reasoning for Explainable Multi-hop Science Question AnsweringCode1
Deconfounded Video Moment Retrieval with Causal InterventionCode1
Declarative Experimentation in Information Retrieval using PyTerrierCode1
dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal ProcessingCode1
EEG2Mel: Reconstructing Sound from Brain Responses to MusicCode1
Accurate 3-DoF Camera Geo-Localization via Ground-to-Satellite Image MatchingCode1
Efficient 3D Point Cloud Feature Learning for Large-Scale Place RecognitionCode1
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsCode1
Efficient and Scalable Estimation of Tool Representations in Vector SpaceCode1
Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and BetterCode1
Efficient Dynamic Clustering-Based Document Compression for Retrieval-Augmented-GenerationCode1
DeCoRe: Decoding by Contrasting Retrieval Heads to Mitigate HallucinationsCode1
Dealing with Typos for BERT-based Passage Retrieval and RankingCode1
Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware SamplingCode1
Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse AttentionCode1
DecAF: Joint Decoding of Answers and Logical Forms for Question Answering over Knowledge BasesCode1
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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