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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 2451–2475 of 14297 papers

TitleStatusHype
LowCLIP: Adapting the CLIP Model Architecture for Low-Resource Languages in Multimodal Image Retrieval TaskCode0
Pandora's Box or Aladdin's Lamp: A Comprehensive Analysis Revealing the Role of RAG Noise in Large Language ModelsCode0
Structural Representation Learning and Disentanglement for Evidential Chinese Patent Approval Prediction—0
Grounding Fallacies Misrepresenting Scientific Publications in EvidenceCode0
Transforming Location Retrieval at Airbnb: A Journey from Heuristics to Reinforcement Learning—0
Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering—0
CodeRefine: A Pipeline for Enhancing LLM-Generated Code Implementations of Research Papers—0
Multi-Faceted Question Complexity Estimation Targeting Topic Domain-Specificity—0
QD-VMR: Query Debiasing with Contextual Understanding Enhancement for Video Moment Retrieval—0
A Comparative Analysis of Faithfulness Metrics and Humans in Citation Evaluation—0
GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level Corrections—0
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment—0
GRATR: Zero-Shot Evidence Graph Retrieval-Augmented Trustworthiness ReasoningCode0
The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design—0
RAG-Optimized Tibetan Tourism LLMs: Enhancing Accuracy and Personalization—0
What are the limits of cross-lingual dense passage retrieval for low-resource languages?—0
Mathematical Information Retrieval: Search and Question Answering—0
T2VIndexer: A Generative Video Indexer for Efficient Text-Video RetrievalCode1
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented GenerationCode3
Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian PhilosophyCode0
WeQA: A Benchmark for Retrieval Augmented Generation in Wind Energy Domain—0
UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and GenerationCode1
Leveraging Chemistry Foundation Models to Facilitate Structure Focused Retrieval Augmented Generation in Multi-Agent Workflows for Catalyst and Materials Design—0
Estimated Audio-Caption Correspondences Improve Language-Based Audio RetrievalCode0
Great Memory, Shallow Reasoning: Limits of kNN-LMsCode1
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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