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 8401–8425 of 14297 papers

TitleStatusHype
Reversible Attack based on Local Visual Adversarial Perturbation—0
3rd Place Solution to Google Landmark Recognition Competition 2021—0
Teach Me What to Say and I Will Learn What to Pick: Unsupervised Knowledge Selection Through Response Generation with Pretrained Generative Models—0
Analyzing the Impact of COVID-19 on Economy from the Perspective of Users Reviews—0
FooDI-ML: a large multi-language dataset of food, drinks and groceries images and descriptionsCode1
Voice Information Retrieval In Collaborative Information Seeking—0
EntQA: Entity Linking as Question AnsweringCode1
A Survey On Neural Word Embeddings—0
Learning Structural Representations for Recipe Generation and Food Retrieval—0
LawSum: A weakly supervised approach for Indian Legal Document Summarization—0
A Proposed Conceptual Framework for a Representational Approach to Information Retrieval—0
Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering—0
SDR: Efficient Neural Re-ranking using Succinct Document Representation—0
Matching Models for Graph Retrieval—0
Spatio-Temporal Video Representation Learning for AI Based Video Playback Style Prediction—0
Tao: A Learning Framework for Adaptive Nearest Neighbor Search using Static Features Only—0
TopiOCQA: Open-domain Conversational Question Answering with Topic SwitchingCode1
A BERT-based Siamese-structured Retrieval Model—0
A Study on Using Transfer Learning to Improve BERT Model for Emotional Classification of Chinese Lyrics—0
Video Temporal Relationship Mining for Data-Efficient Person Re-identification—0
Robust and Decomposable Average Precision for Image RetrievalCode1
Factored couplings in multi-marginal optimal transport via difference of convex programming—0
Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning—0
Library of Congress Subject Heading (LCSH) Browsing and Natural Language Searching—0
BERT got a Date: Introducing Transformers to Temporal TaggingCode1
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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