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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 9726–9750 of 14297 papers

TitleStatusHype
Occlusion-Aware Search for Object Retrieval in Clutter—0
Efficient image retrieval using multi neural hash codes and bloom filters—0
Deep Cross-modal Hashing via Margin-dynamic-softmax Loss—0
(Quasi-)Real-Time Inversion of Airborne Time-Domain Electromagnetic Data via Artificial Neural Network—0
HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification—0
Investigating Societal Biases in a Poetry Composition SystemCode0
Entity Linking in 100 LanguagesCode1
Improving Commonsense Question Answering by Graph-based Iterative Retrieval over Multiple Knowledge Sources—0
JNLP Team: Deep Learning for Legal Processing in COLIEE 2020Code0
Graph Based Temporal Aggregation for Video RetrievalCode0
Extended Missing Data Imputation via GANs for Ranking Applications—0
Augmenting Images for ASR and TTS through Single-loop and Dual-loop Multimodal Chain Framework—0
Diversity Aware Relevance Learning for Argument SearchCode0
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain SearchCode1
BioNerFlair: biomedical named entity recognition using flair embedding and sequence taggerCode0
University of Washington at TREC 2020 Fairness Ranking Track—0
Role Taxonomy of Units in Deep Neural Networks—0
Cross-Lingual Document Retrieval with Smooth LearningCode0
Information retrieval for animal disease surveillance: a pattern-based approach.—0
Towards Grounding of Formulae—0
A Little Bit Is Worse Than None: Ranking with Limited Training DataCode0
An Element-wise Visual-enhanced BiLSTM-CRF Model for Location Name Recognition—0
Detecting Trending Terms in Cybersecurity Forum Discussions—0
Improving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues—0
Approximation of Response Knowledge Retrieval in Knowledge-grounded Dialogue GenerationCode0
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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