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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 3701–3725 of 14297 papers

TitleStatusHype
Repoformer: Selective Retrieval for Repository-Level Code Completion—0
DRAGIN: Dynamic Retrieval Augmented Generation based on the Information Needs of Large Language ModelsCode2
Multiscale Matching Driven by Cross-Modal Similarity Consistency for Audio-Text Retrieval—0
Improving Medical Multi-modal Contrastive Learning with Expert AnnotationsCode0
KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and DeformationCode1
Enhancing LLM Factual Accuracy with RAG to Counter Hallucinations: A Case Study on Domain-Specific Queries in Private Knowledge-BasesCode1
Exploring the Capabilities and Limitations of Large Language Models in the Electric Energy Sector—0
Re-Search for The Truth: Multi-round Retrieval-augmented Large Language Models are Strong Fake News Detectors—0
Online and Offline Evaluation in Search Clarification—0
Seed-based information retrieval in networks of research publications: Evaluation of direct citations, bibliographic coupling, co-citations and PubMed related article score—0
RAGGED: Towards Informed Design of Retrieval Augmented Generation SystemsCode2
What Sketch Explainability Really Means for Downstream Tasks—0
Logical Discrete Graphical Models Must Supplement Large Language Models for Information Synthesis—0
Retrieval augmented text-to-SQL generation for epidemiological question answering using electronic health recordsCode1
Foundation Models and Information Retrieval in Digital Pathology—0
Detecting Hallucination and Coverage Errors in Retrieval Augmented Generation for Controversial Topics—0
PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal ModelsCode1
Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling—0
Leveraging Compressed Frame Sizes For Ultra-Fast Video Classification—0
Analyzing Adversarial Attacks on Sequence-to-Sequence Relevance ModelsCode0
Mechanics of Next Token Prediction with Self-Attention—0
Textual Knowledge Matters: Cross-Modality Co-Teaching for Generalized Visual Class DiscoveryCode1
You'll Never Walk Alone: A Sketch and Text Duet for Fine-Grained Image Retrieval—0
Learn and Search: An Elegant Technique for Object Lookup using Contrastive Learning—0
It's All About Your Sketch: Democratising Sketch Control in Diffusion ModelsCode1
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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