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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 13301–13350 of 14297 papers

TitleStatusHype
Triplet-Based Deep Hashing Network for Cross-Modal Retrieval—0
One-Shot Multilingual Font Generation Via ViT—0
Triplet Synthesis For Enhancing Composed Image Retrieval via Counterfactual Image Generation—0
TriPSS: A Tri-Modal Keyframe Extraction Framework Using Perceptual, Structural, and Semantic Representations—0
TriSampler: A Better Negative Sampling Principle for Dense Retrieval—0
One-Shot Fine-Grained Instance Retrieval—0
TROVE: A Challenge for Fine-Grained Text Provenance via Source Sentence Tracing and Relationship Classification—0
TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking—0
Pairing Clustered Inverted Indexes with kNN Graphs for Fast Approximate Retrieval over Learned Sparse Representations—0
Paired Cross-Modal Data Augmentation for Fine-Grained Image-to-Text Retrieval—0
One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems—0
P\'agico: Evaluating Wikipedia-based information retrieval in Portuguese—0
Packing and Padding: Coupled Multi-index for Accurate Image Retrieval—0
Trustworthy Answers, Messier Data: Bridging the Gap in Low-Resource Retrieval-Augmented Generation for Domain Expert Systems—0
PAC-GAN: An Effective Pose Augmentation Scheme for Unsupervised Cross-View Person Re-identification—0
TSI: an Ad Text Strength Indicator using Text-to-CTR and Semantic-Ad-Similarity—0
TSPulse: Dual Space Tiny Pre-Trained Models for Rapid Time-Series Analysis—0
TSSRGCN: Temporal Spectral Spatial Retrieval Graph Convolutional Network for Traffic Flow Forecasting—0
TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval—0
TTQA-RS- A break-down prompting approach for Multi-hop Table-Text Question Answering with Reasoning and Summarization—0
OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment—0
Tug-of-War Between Knowledge: Exploring and Resolving Knowledge Conflicts in Retrieval-Augmented Language Models—0
Overview of TREC 2024 Biomedical Generative Retrieval (BioGen) Track—0
Overview of the TREC 2023 Product Product Search Track—0
TURNER: The Uncertainty-based Retrieval Framework for Chinese NER—0
Zero-Shot Learning via Latent Space Encoding—0
Overview of the TREC 2023 NeuCLIR Track—0
TutorialBank: A Manually-Collected Corpus for Prerequisite Chains, Survey Extraction and Resource Recommendation—0
Tutorial: Modern Theoretical Tools for Understanding and Designing Next-generation Information Retrieval System—0
Tutorials on X-ray Phase Contrast Imaging: Some Fundamentals and Some Conjectures on Future Developments—0
TutorLLM: Customizing Learning Recommendations with Knowledge Tracing and Retrieval-Augmented Generation—0
TVD: A Reproducible and Multiply Aligned TV Series Dataset—0
Overview of the TREC 2022 NeuCLIR Track—0
TVPR: Text-to-Video Person Retrieval and a New Benchmark—0
Overview of the TREC 2022 Fair Ranking Track—0
Wiki-LLaVA: Hierarchical Retrieval-Augmented Generation for Multimodal LLMs—0
One Picture is Worth a Thousand Words: A New Wallet Recovery Process—0
Overview of the TREC 2021 Fair Ranking Track—0
Twitter100k: A Real-world Dataset for Weakly Supervised Cross-Media Retrieval—0
Twitter Translation using Translation-Based Cross-Lingual Retrieval—0
Two approaches for integrating translation and retrieval in real applications—0
WikiMuTe: A web-sourced dataset of semantic descriptions for music audio—0
WikiPassageQA: A Benchmark Collection for Research on Non-factoid Answer Passage Retrieval—0
Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction—0
Wikipedia as a Resource for Text Analysis and Retrieval—0
Two-Layer Generalization Analysis for Ranking Using Rademacher Average—0
Two-Layer Retrieval-Augmented Generation Framework for Low-Resource Medical Question Answering Using Reddit Data: Proof-of-Concept Study—0
Two-Level Supervised Contrastive Learning for Response Selection in Multi-Turn Dialogue—0
Two-Level Supervised Contrastive Learning for Response Selection in Multi-Turn Dialogue—0
Overview of the TREC 2020 Fair Ranking Track—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