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 1351–1375 of 14297 papers

TitleStatusHype
GERE: Generative Evidence Retrieval for Fact VerificationCode1
Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation PerspectiveCode1
Data Curation Alone Can Stabilize In-context LearningCode1
CCL: Continual Contrastive Learning for LiDAR Place RecognitionCode1
ComFact: A Benchmark for Linking Contextual Commonsense KnowledgeCode1
ComCLIP: Training-Free Compositional Image and Text MatchingCode1
AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level RetrievalCode1
Fast Online Hashing with Multi-Label ProjectionCode1
AcuRank: Uncertainty-Aware Adaptive Computation for Listwise RerankingCode1
CompAct: Compressing Retrieved Documents Actively for Question AnsweringCode1
Align and Prompt: Video-and-Language Pre-training with Entity PromptsCode1
Fast Passage Re-ranking with Contextualized Exact Term Matching and Efficient Passage ExpansionCode1
Feature Representation Learning for Unsupervised Cross-domain Image RetrievalCode1
CompoDiff: Versatile Composed Image Retrieval With Latent DiffusionCode1
Few-Shot Generative Conversational Query RewritingCode1
Complex Claim Verification with Evidence Retrieved in the WildCode1
Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language ModelCode1
A Rotation-Invariant Framework for Deep Point Cloud AnalysisCode1
Composed Image Retrieval with Text Feedback via Multi-grained Uncertainty RegularizationCode1
Fast Exact Retrieval for Nearest-neighbor Lookup (FERN)Code1
AdaCQR: Enhancing Query Reformulation for Conversational Search via Sparse and Dense Retrieval AlignmentCode1
FastFill: Efficient Compatible Model UpdateCode1
Can large language models reason about medical questions?Code1
Composing Text and Image for Image Retrieval - An Empirical OdysseyCode1
Fast and Scalable Image Search For HistologyCode1
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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