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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 1801–1825 of 14297 papers

TitleStatusHype
ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and PersonalizationCode1
Equivariant Similarity for Vision-Language Foundation ModelsCode1
Great Memory, Shallow Reasoning: Limits of kNN-LMsCode1
An Empirical Study of GPT-3 for Few-Shot Knowledge-Based VQACode1
An Empirical Study of Multimodal Model MergingCode1
ESA: External Space Attention Aggregation for Image-Text RetrievalCode1
Graph of Records: Boosting Retrieval Augmented Generation for Long-context Summarization with GraphsCode1
Graph Neural Prompting with Large Language ModelsCode1
Graph Optimal Transport for Cross-Domain AlignmentCode1
BERT for Evidence Retrieval and Claim VerificationCode1
CHEF: A Pilot Chinese Dataset for Evidence-Based Fact-CheckingCode1
Chatting Makes Perfect: Chat-based Image RetrievalCode1
An Empirical Study of Vehicle Re-Identification on the AI City ChallengeCode1
Evade Deep Image Retrieval by Stashing Private Images in the Hash SpaceCode1
A Differentiable Semantic Metric Approximation in Probabilistic Embedding for Cross-Modal RetrievalCode1
BERT-kNN: Adding a kNN Search Component to Pretrained Language Models for Better QACode1
ChiQA: A Large Scale Image-based Real-World Question Answering Dataset for Multi-Modal UnderstandingCode1
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical StudyCode1
BERT-QE: Contextualized Query Expansion for Document Re-rankingCode1
Evaluating Interpolation and Extrapolation Performance of Neural Retrieval ModelsCode1
Graph RAG-Tool FusionCode1
One-Shot Labeling for Automatic Relevance EstimationCode1
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable RecommendationCode1
ExaRanker: Explanation-Augmented Neural RankerCode1
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense RetrievalCode1
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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