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 3601–3625 of 14297 papers

TitleStatusHype
Automating Bibliometric Analysis with Sentence Transformers and Retrieval-Augmented Generation (RAG): A Pilot Study in Semantic and Contextual Search for Customized Literature Characterization for High-Impact Urban Research—0
Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors—0
DeepShape: Deep Learned Shape Descriptor for 3D Shape Matching and Retrieval—0
An Empirical Study of Frame Selection for Text-to-Video Retrieval—0
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification—0
Deep Sketch-Shape Hashing With Segmented 3D Stochastic Viewing—0
Automatic View-Point Selection for Inter-Operative Endoscopic Surveillance—0
Analysis of Wikipedia-based Corpora for Question Answering—0
Data-Efficient Ranking Distillation for Image Retrieval—0
Deep Spherical Quantization for Image Search—0
Automatic video scene segmentation based on spatial-temporal clues and rhythm—0
Data-Efficient Methods for Dialogue Systems—0
Data-Efficient Massive Tool Retrieval: A Reinforcement Learning Approach for Query-Tool Alignment with Language Models—0
DeepStyle: Multimodal Search Engine for Fashion and Interior Design—0
Automatic Transcription of Flamenco Singing from Polyphonic Music Recordings—0
Deep Supervised Discrete Hashing—0
BERT-Embedding and Citation Network Analysis based Query Expansion Technique for Scholarly Search—0
Deep supervised hashing for fast retrieval of radio image cubes—0
Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval—0
Deep Supervised Hashing With Anchor Graph—0
Analysis of Similes in Serbian Literary Texts (1860-1920) using computational methods—0
Deep Supervised Information Bottleneck Hashing for Cross-modal Retrieval based Computer-aided Diagnosis—0
Deep Tensor Encoding—0
BERT for Target Apps Selection: Analyzing the Diversity and Performance of BERT in Unified Mobile Search—0
Ad Auctions for LLMs via Retrieval Augmented Generation—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