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 5051–5075 of 14297 papers

TitleStatusHype
DyRRen: A Dynamic Retriever-Reranker-Generator Model for Numerical Reasoning over Tabular and Textual DataCode0
BULNER: BUg Localization with word embeddings and NEtwork RegularizationCode0
MIRB: Mathematical Information Retrieval BenchmarkCode0
From seeing to remembering: Images with harder-to-reconstruct representations leave stronger memory tracesCode0
ANTIQUE: A Non-Factoid Question Answering BenchmarkCode0
From Selective Deep Convolutional Features to Compact Binary Representations for Image RetrievalCode0
From Spectra to Biophysical Insights: End-to-End Learning with a Biased Radiative Transfer ModelCode0
Dynamic Weighted Combiner for Mixed-Modal Image RetrievalCode0
From Relevance to Utility: Evidence Retrieval with Feedback for Fact VerificationCode0
From Roots to Rewards: Dynamic Tree Reasoning with RLCode0
From Region to Patch: Attribute-Aware Foreground-Background Contrastive Learning for Fine-Grained Fashion RetrievalCode0
From Swath to Full-Disc: Advancing Precipitation Retrieval with Multimodal Knowledge ExpansionCode0
Dynamic Texture Recognition via Nuclear Distances on Kernelized Scattering Histogram SpacesCode0
From MTEB to MTOB: Retrieval-Augmented Classification for Descriptive GrammarsCode0
Answer Retrieval in Legal Community Question AnsweringCode0
From Neural Re-Ranking to Neural Ranking: Learning a Sparse Representation for Inverted IndexingCode0
From Data to Dialogue: Leveraging the Structure of Knowledge Graphs for Conversational Exploratory SearchCode0
From Play to Replay: Composed Video Retrieval for Temporally Fine-Grained VideosCode0
From Third Person to First Person: Dataset and Baselines for Synthesis and RetrievalCode0
From Artificial Needles to Real Haystacks: Improving Retrieval Capabilities in LLMs by Finetuning on Synthetic DataCode0
FrameFinder: Explorative Multi-Perspective Framing Extraction from News HeadlinesCode0
Fair Ranking with Noisy Protected AttributesCode0
A Family of Rank Similarity Measures based on Maximized Effectiveness DifferenceCode0
FormulaReasoning: A Dataset for Formula-Based Numerical ReasoningCode0
Food Recommendations for Reducing Water FootprintCode0
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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