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 2276–2300 of 14297 papers

TitleStatusHype
CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationCode1
CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip RetrievalCode1
Clinical Temporal Relation Extraction with Probabilistic Soft Logic Regularization and Global InferenceCode1
Creating Something from Nothing: Unsupervised Knowledge Distillation for Cross-Modal HashingCode1
CREPE: Can Vision-Language Foundation Models Reason Compositionally?Code1
Chain-of-Skills: A Configurable Model for Open-domain Question AnsweringCode1
CREPE: A Convolutional Representation for Pitch EstimationCode1
Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCOCode1
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean MeasuresCode1
Learning to Rematch Mismatched Pairs for Robust Cross-Modal RetrievalCode1
CrIBo: Self-Supervised Learning via Cross-Image Object-Level BootstrappingCode1
Cross-Batch Memory for Embedding LearningCode1
Learning to Tokenize for Generative RetrievalCode1
ArabicaQA: A Comprehensive Dataset for Arabic Question AnsweringCode1
Cross-Architecture Self-supervised Video Representation LearningCode1
Dependency-based Text Graphs for Keyphrase and Summary Extraction with Applications to Interactive Content RetrievalCode1
Semantic-Fused Multi-Granularity Cross-City Traffic PredictionCode1
Cross-document Event Coreference Search: Task, Dataset and ModelingCode1
CLIP2Video: Mastering Video-Text Retrieval via Image CLIPCode1
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain SearchCode1
Chameleon: a Heterogeneous and Disaggregated Accelerator System for Retrieval-Augmented Language ModelsCode1
Jasper and Stella: distillation of SOTA embedding modelsCode1
Cross-Lingual Cross-Modal Retrieval with Noise-Robust LearningCode1
Less is More: ClipBERT for Video-and-Language Learning via Sparse SamplingCode1
AESOP: Paraphrase Generation with Adaptive Syntactic ControlCode1
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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