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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 1101–1125 of 14297 papers

TitleStatusHype
Deconfounded Video Moment Retrieval with Causal InterventionCode1
Declarative Experimentation in Information Retrieval using PyTerrierCode1
dEchorate: a Calibrated Room Impulse Response Database for Echo-aware Signal ProcessingCode1
DeCLUTR: Deep Contrastive Learning for Unsupervised Textual RepresentationsCode1
A Rotation-Invariant Framework for Deep Point Cloud AnalysisCode1
DeCEMBERT: Learning from Noisy Instructional Videos via Dense Captions and Entropy MinimizationCode1
Decomposed Prompting: A Modular Approach for Solving Complex TasksCode1
Decoupling Strategy and Generation in Negotiation DialoguesCode1
Developing Retrieval Augmented Generation (RAG) based LLM Systems from PDFs: An Experience ReportCode1
ALIP: Adaptive Language-Image Pre-training with Synthetic CaptionCode1
Dataflow-Guided Retrieval Augmentation for Repository-Level Code CompletionCode1
Data-Free Sketch-Based Image RetrievalCode1
Data-Efficient Multimodal Fusion on a Single GPUCode1
A BFS-Tree of Ranking References for Unsupervised Manifold LearningCode1
DataFinder: Scientific Dataset Recommendation from Natural Language DescriptionsCode1
Data Roaming and Quality Assessment for Composed Image RetrievalCode1
DAPR: A Benchmark on Document-Aware Passage RetrievalCode1
DAS: Densely-Anchored Sampling for Deep Metric LearningCode1
AlignRAG: Leveraging Critique Learning for Evidence-Sensitive Retrieval-Augmented ReasoningCode1
DAM: Dynamic Attention Mask for Long-Context Large Language Model Inference AccelerationCode1
DASGIL: Domain Adaptation for Semantic and Geometric-aware Image-based LocalizationCode1
DataSculpt: Crafting Data Landscapes for Long-Context LLMs through Multi-Objective PartitioningCode1
CXR-CLIP: Toward Large Scale Chest X-ray Language-Image Pre-trainingCode1
Curriculum Learning for Dense Retrieval DistillationCode1
C-STS: Conditional Semantic Textual SimilarityCode1
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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