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 8101–8125 of 14297 papers

TitleStatusHype
Estimating the Usefulness of Clarifying Questions and Answers for Conversational Search—0
MaRI: Material Retrieval Integration across Domains—0
Estimating Robust Query Models with Convex Optimization—0
Chinese Characters Mapping Table of Japanese, Traditional Chinese and Simplified Chinese—0
Domain-invariant feature learning in brain MR imaging for content-based image retrieval—0
Marking anything: application of point cloud in extracting video target features—0
Estimating Personal Model Parameters from Utterances in Model-based Reminiscence—0
MaRU: A Manga Retrieval and Understanding System Connecting Vision and Language—0
Domain-matched Pre-training Tasks for Dense Retrieval—0
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve—0
CHIC: Corporate Document for Visual question Answering—0
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation—0
Aggregated Knowledge Model: Enhancing Domain-Specific QA with Fine-Tuned and Retrieval-Augmented Generation Models—0
Masked Contrastive Pre-Training for Efficient Video-Text Retrieval—0
Mining Internet-Scale Software Repositories—0
Are LLMs Prescient? A Continuous Evaluation using Daily News as the Oracle—0
Establishing Performance Baselines in Fine-Tuning, Retrieval-Augmented Generation and Soft-Prompting for Non-Specialist LLM Users—0
Domain-Specific Improvement on Psychotherapy Chatbot Using Assistant—0
Establishing a Foundation for Tetun Ad-Hoc Text Retrieval: Stemming, Indexing, Retrieval, and Ranking—0
MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification—0
Chemical detection and indexing in PubMed full text articles using deep learning and rule-based methods—0
Mask to reconstruct: Cooperative Semantics Completion for Video-text Retrieval—0
Domain Transfer based Data Augmentation for Neural Query Translation—0
MASS: Overcoming Language Bias in Image-Text Matching—0
Mindful-RAG: A Study of Points of Failure in 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