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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 5976–6000 of 14297 papers

TitleStatusHype
Towards Generalisable Video Moment Retrieval: Visual-Dynamic Injection to Image-Text Pre-Training—0
BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye View ImagesCode2
Joint Representations of Text and Knowledge Graphs for Retrieval and Evaluation—0
Audio Retrieval for Multimodal Design Documents: A New Dataset and Algorithms—0
Spacerini: Plug-and-play Search Engines with Pyserini and Hugging FaceCode1
OEKG: The Open Event Knowledge Graph—0
Linear Spaces of Meanings: Compositional Structures in Vision-Language Models—0
Pretraining De-Biased Language Model with Large-scale Click Logs for Document RankingCode1
Diversity matters: Robustness of bias measurements in WikidataCode0
Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation—0
Training neural networks with structured noise improves classification and generalization—0
Cross-lingual Knowledge Transfer via Distillation for Multilingual Information Retrieval—0
From Audio to Symbolic Encoding—0
Learning cross space mapping via DNN using large scale click-through logs—0
MetaAID 2.0: An Extensible Framework for Developing Metaverse Applications via Human-controllable Pre-trained Models—0
A Preliminary Study on Pattern Reconstruction for Optimal Storage of Wearable Sensor Data—0
DeepBrainPrint: A Novel Contrastive Framework for Brain MRI Re-Identification—0
Human-in-the-Loop Schema Induction—0
LaSER: Language-Specific Event RecommendationCode0
Deep Learning for Video-Text Retrieval: a Review—0
Retrieved Sequence Augmentation for Protein Representation LearningCode1
ProofNet: Autoformalizing and Formally Proving Undergraduate-Level MathematicsCode1
Naver Labs Europe (SPLADE) @ TREC Deep Learning 2022—0
Data leakage in cross-modal retrieval training: A case study—0
Simple and Scalable Nearest Neighbor Machine TranslationCode1
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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