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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 3226–3250 of 14297 papers

TitleStatusHype
Distilling Vision-Language Pretraining for Efficient Cross-Modal Retrieval—0
HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsCode7
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality ModelsCode1
WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models—0
Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models—0
RaFe: Ranking Feedback Improves Query Rewriting for RAG—0
TIGER: Text-Instructed 3D Gaussian Retrieval and Coherent Editing—0
Stochastic Online Conformal Prediction with Semi-Bandit Feedback—0
GMMFormer v2: An Uncertainty-aware Framework for Partially Relevant Video RetrievalCode1
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam GenerationCode2
FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research—0
TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language ModelsCode0
xRAG: Extreme Context Compression for Retrieval-augmented Generation with One TokenCode2
DEGAP: Dual Event-Guided Adaptive Prefixes for Templated-Based Event Argument Extraction with Slot Querying—0
FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering—0
Efficient and Interpretable Information Retrieval for Product Question Answering with Heterogeneous DataCode0
RAG-RLRC-LaySum at BioLaySumm: Integrating Retrieval-Augmented Generation and Readability Control for Layman Summarization of Biomedical TextsCode0
A Workbench for Autograding Retrieve/Generate SystemsCode0
The 2nd FutureDial Challenge: Dialog Systems with Retrieval Augmented Generation (FutureDial-RAG)Code1
Towards Retrieval-Augmented Architectures for Image Captioning—0
Retrieval-Augmented Language Model for Extreme Multi-Label Knowledge Graph Link PredictionCode0
Dataset and Benchmark for Urdu Natural Scenes Text Detection, Recognition and Visual Question AnsweringCode0
Context-Enhanced Video Moment Retrieval with Large Language Models—0
Entropic associative memory for real world images—0
Comparing Neighbors Together Makes it Easy: Jointly Comparing Multiple Candidates for Efficient and Effective Retrieval—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