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 4826–4850 of 14297 papers

TitleStatusHype
A Survey on Conversational Search and Applications in Biomedicine—0
Constructing Phrase-level Semantic Labels to Form Multi-GrainedSupervision for Image-Text Retrieval—0
A Survey on Complex Question Answering over Knowledge Base: Recent Advances and Challenges—0
Constructing Phrase-level Semantic Labels to Form Multi-Grained Supervision for Image-Text Retrieval—0
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions—0
Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation—0
Adaptability of Neural Networks on Varying Granularity IR Tasks—0
A BERT-based Siamese-structured Retrieval Model—0
Fine-Tuning or Fine-Failing? Debunking Performance Myths in Large Language Models—0
Constructing Image-Text Pair Dataset from Books—0
Constructing Category-Specific Models for Monocular Object-SLAM—0
Alignment Annotation for Clinic Visit Dialogue to Clinical Note Sentence Language Generation—0
AutoKG: Constructing Virtual Knowledge Graphs from Unstructured Documents for Question Answering—0
A Survey on Adversarial Information Retrieval on the Web—0
A Benchmark Suite for Template Detection and Content Extraction—0
Constraint Translation Candidates: A Bridge between Neural Query Translation and Cross-lingual Information Retrieval—0
Constrained Mass Optimal Transport—0
A Survey of Video-based Action Quality Assessment—0
Constrained Dominant sets and Its applications in computer vision—0
Constrained Auto-Regressive Decoding Constrains Generative Retrieval—0
A survey of SMS based Information Systems—0
AdapNet: Adaptive Noise-Based Network for Low-Quality Image Retrieval—0
LawLLM: Law Large Language Model for the US Legal System—0
ConSTR: A Contextual Search Term Recommender—0
Constant-Expansion Suffices for Compressed Sensing with Generative Priors—0
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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