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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 676–700 of 14297 papers

TitleStatusHype
Semantic Library Adaptation: LoRA Retrieval and Fusion for Open-Vocabulary Semantic SegmentationCode1
CoLLM: A Large Language Model for Composed Image RetrievalCode1
CAFe: Unifying Representation and Generation with Contrastive-Autoregressive FinetuningCode1
LRSCLIP: A Vision-Language Foundation Model for Aligning Remote Sensing Image with Longer TextCode1
Fine-grained Textual Inversion Network for Zero-Shot Composed Image RetrievalCode1
Optimizing Retrieval Strategies for Financial Question Answering Documents in Retrieval-Augmented Generation SystemsCode1
RAGO: Systematic Performance Optimization for Retrieval-Augmented Generation ServingCode1
ImageScope: Unifying Language-Guided Image Retrieval via Large Multimodal Model Collective ReasoningCode1
StableFusion: Continual Video Retrieval via Frame AdaptationCode1
Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse AttentionCode1
GRITHopper: Decomposition-Free Multi-Hop Dense RetrievalCode1
SePer: Measure Retrieval Utility Through The Lens Of Semantic Perplexity ReductionCode1
Recurrence-Enhanced Vision-and-Language Transformers for Robust Multimodal Document RetrievalCode1
LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation ConversationCode1
DeepSolution: Boosting Complex Engineering Solution Design via Tree-based Exploration and Bi-point ThinkingCode1
Long-Context Inference with Retrieval-Augmented Speculative DecodingCode1
PhantomWiki: On-Demand Datasets for Reasoning and Retrieval EvaluationCode1
Mixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge BasesCode1
Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix FactorizationCode1
LLM-QE: Improving Query Expansion by Aligning Large Language Models with Ranking PreferencesCode1
Scaling Sparse and Dense Retrieval in Decoder-Only LLMsCode1
PeerQA: A Scientific Question Answering Dataset from Peer ReviewsCode1
Collaborative Retrieval for Large Language Model-based Conversational Recommender SystemsCode1
G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable RecommendationCode1
K-Paths: Reasoning over Graph Paths for Drug Repurposing and Drug Interaction PredictionCode1
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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