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 1201–1225 of 14297 papers

TitleStatusHype
Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation PerspectiveCode1
Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object RecognitionCode1
Expand, Rerank, and Retrieve: Query Reranking for Open-Domain Question AnsweringCode1
EXIT: Context-Aware Extractive Compression for Enhancing Retrieval-Augmented GenerationCode1
Expectation-Maximization Contrastive Learning for Compact Video-and-Language RepresentationsCode1
Data Curation Alone Can Stabilize In-context LearningCode1
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale ExtractionCode1
Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency BenefitsCode1
Exploring the Impact of Noise on Hybrid Inversion of PROSAIL RTM on Sentinel-2 DataCode1
FashionViL: Fashion-Focused Vision-and-Language Representation LearningCode1
FILIP: Fine-grained Interactive Language-Image Pre-TrainingCode1
Frozen in Time: A Joint Video and Image Encoder for End-to-End RetrievalCode1
Evidence Selection as a Token-Level Prediction TaskCode1
Evidentiality-guided Generation for Knowledge-Intensive NLP TasksCode1
AARGH! End-to-end Retrieval-Generation for Task-Oriented DialogCode1
AI Literature Review SuiteCode1
Can large language models reason about medical questions?Code1
EViT: Privacy-Preserving Image Retrieval via Encrypted Vision Transformer in Cloud ComputingCode1
Evaluating the Robustness of Retrieval Pipelines with Query Variation GeneratorsCode1
Everything at Once -- Multi-modal Fusion Transformer for Video RetrievalCode1
Candidate Set Re-ranking for Composed Image Retrieval with Dual Multi-modal EncoderCode1
Contextual Compression in Retrieval-Augmented Generation for Large Language Models: A SurveyCode1
Evaluating Retrieval Quality in Retrieval-Augmented GenerationCode1
Everything at Once - Multi-Modal Fusion Transformer for Video RetrievalCode1
ExaRanker: Explanation-Augmented Neural RankerCode1
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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