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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 451–475 of 14297 papers

TitleStatusHype
Egocentric Video-Language Pretraining @ EPIC-KITCHENS-100 Multi-Instance Retrieval Challenge 2022Code2
Enabling Large Language Models to Generate Text with CitationsCode2
EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing CorporaCode2
RAG-DDR: Optimizing Retrieval-Augmented Generation Using Differentiable Data RewardsCode2
Efficient Remote Sensing with Harmonized Transfer Learning and Modality AlignmentCode2
EfficientRAG: Efficient Retriever for Multi-Hop Question AnsweringCode2
ColBERTv2: Effective and Efficient Retrieval via Lightweight Late InteractionCode2
ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTCode2
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsCode2
RAGViz: Diagnose and Visualize Retrieval-Augmented GenerationCode2
Retrieval with Learned SimilaritiesCode2
AriGraph: Learning Knowledge Graph World Models with Episodic Memory for LLM AgentsCode2
An Open-Source American Sign Language Fingerspell Recognition and Semantic Pose Retrieval InterfaceCode2
Egocentric Video-Language PretrainingCode2
Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge GraphCode2
RankZephyr: Effective and Robust Zero-Shot Listwise Reranking is a Breeze!Code2
Generating Images with Multimodal Language ModelsCode2
Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language ModelsCode2
ECG-Chat: A Large ECG-Language Model for Cardiac Disease DiagnosisCode2
DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented GenerationCode2
Composed Multi-modal Retrieval: A Survey of Approaches and ApplicationsCode2
Reasoning-Enhanced Healthcare Predictions with Knowledge Graph Community RetrievalCode2
Composed Video Retrieval via Enriched Context and Discriminative EmbeddingsCode2
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion PriorsCode2
Animate-A-Story: Storytelling with Retrieval-Augmented Video GenerationCode2
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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