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 4101–4125 of 14297 papers

TitleStatusHype
A data-driven model of explanations for a chatbot that helps to practice conversation in a foreign language—0
Enriching Existing Test Collections with OXPath—0
Ensemble Diffusion for Retrieval—0
Entity based Q\&A Retrieval—0
CUSATNLP@HASOC-Dravidian-CodeMix-FIRE2020:Identifying Offensive Language from ManglishTweets—0
Cursive Caption Text Detection in Videos—0
Automatic Evaluation vs. User Preference in Neural Textual QuestionAnswering over COVID-19 Scientific Literature—0
Curse of Heterogeneity: Computational Barriers in Sparse Mixture Models and Phase Retrieval—0
CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion—0
Automatic Electrodes Detection during simultaneous EEG/fMRI acquisition—0
A Data-centric Framework for Improving Domain-specific Machine Reading Comprehension Datasets—0
Automatic Distractor Suggestion for Multiple-Choice Tests Using Concept Embeddings and Information Retrieval—0
A new algorithm for shape matching and pattern recognition using dynamic programming—0
Curriculum Learning for Data-Efficient Vision-Language Alignment—0
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures—0
Enhancing Tourism Recommender Systems for Sustainable City Trips Using Retrieval-Augmented Generation—0
Enhancing Translation Language Models with Word Embedding for Information Retrieval—0
CURE Dataset: Ladder Networks for Audio Event Classification—0
CURE: Collection for Urdu Information Retrieval Evaluation and Ranking—0
Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks—0
An Alternative to FLOPS Regularization to Effectively Productionize SPLADE-Doc—0
Curating Stopwords in Marathi: A TF-IDF Approach for Improved Text Analysis and Information Retrieval—0
Accelerating Retrieval-Augmented Generation—0
Investigating the Role of Attribute Context in Vision-Language Models for Object Recognition and Detection—0
CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning—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