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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 7351–7400 of 14297 papers

TitleStatusHype
Dialog Inpainting: Turning Documents into DialogsCode1
Deep Features for CBIR with Scarce Data using Hebbian Learning—0
VRAG: Region Attention Graphs for Content-Based Video Retrieval—0
Debiasing Neural Retrieval via In-batch Balancing Regularization—0
Health Information Retrieval -- State of the art report—0
A Birds Eye View on Knowledge Graph Embeddings, Software Libraries, Applications and Challenges—0
ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval—0
Entailment Tree Explanations via Iterative Retrieval-Generation ReasonerCode1
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval—0
A CLIP-Hitchhiker's Guide to Long Video RetrievalCode1
ROP inception: signal estimation with quadratic random sketching—0
M6-Rec: Generative Pretrained Language Models are Open-Ended Recommender Systems—0
SAMU-XLSR: Semantically-Aligned Multimodal Utterance-level Cross-Lingual Speech Representation—0
Miutsu: NTU's TaskBot for the Alexa Prize—0
CascadER: Cross-Modal Cascading for Knowledge Graph Link PredictionCode1
Long-term Control for Dialogue Generation: Methods and EvaluationCode0
Differentiable SAR Renderer and SAR Target Reconstruction—0
Pattern reconstruction with restricted Boltzmann machines—0
ScAN: Suicide Attempt and Ideation Events DatasetCode1
Causal Estimation of Position Bias in Recommender Systems Using Marketplace Instruments—0
Single-Server Private Information Retrieval with Side Information Under Arbitrary Popularity Profiles—0
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval—0
How does Feedback Signal Quality Impact Effectiveness of Pseudo Relevance Feedback for Passage Retrieval?—0
One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code—0
CV4Code: Sourcecode Understanding via Visual Code Representations—0
Beyond Griffin-Lim: Improved Iterative Phase Retrieval for Speech—0
Contrastive Supervised Distillation for Continual Representation LearningCode1
Recommending Research Papers to Chemists: A Specialized Interface for Chemical Entity Exploration—0
Learning to Retrieve Videos by Asking QuestionsCode0
Multi-Label Logo Recognition and Retrieval based on Weighted Fusion of Neural FeaturesCode0
UL2: Unifying Language Learning ParadigmsCode1
Identical Image Retrieval using Deep LearningCode1
Transformer-based Cross-Modal Recipe Embeddings with Large Batch Training—0
CODEC: Complex Document and Entity CollectionCode1
Re-thinking Knowledge Graph Completion Evaluation from an Information Retrieval Perspective—0
ISA-bEL: Intelligent Search Algorithm based on Entity Linking—0
Introspective Deep Metric Learning for Image RetrievalCode1
Improved Evaluation and Generation of Grid Layouts using Distance Preservation Quality and Linear Assignment SortingCode1
Robust phase retrieval with complexity-guidance for coherent X-ray imaging—0
Adversarial Learning of Hard Positives for Place Recognition—0
Cross-lingual Adaptation for Recipe Retrieval with Mixup—0
CCMB: A Large-scale Chinese Cross-modal BenchmarkCode1
Better Retrieval May Not Lead to Better Question Answering—0
Vector Representations of Idioms in Conversational Systems—0
Deep Supervised Information Bottleneck Hashing for Cross-modal Retrieval based Computer-aided Diagnosis—0
Dimension Reduction for Efficient Dense Retrieval via Conditional AutoencoderCode1
Implicit semantic-based personalized micro-videos recommendation—0
AODisaggregation: toward global aerosol vertical profilesCode0
Translating Place-Related Questions to GeoSPARQL QueriesCode0
Collective Relevance Labeling for Passage RetrievalCode0
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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