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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 6251–6275 of 14297 papers

TitleStatusHype
Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank—0
SuperGF: Unifying Local and Global Features for Visual Localization—0
Multi-queue Momentum Contrast for Microvideo-Product RetrievalCode1
When are Lemons Purple? The Concept Association Bias of Vision-Language Models—0
Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval—0
Parallel Context Windows for Large Language ModelsCode1
Multi-modal Molecule Structure-text Model for Text-based Retrieval and EditingCode2
ALCAP: Alignment-Augmented Music CaptionerCode0
Not Just Pretty Pictures: Toward Interventional Data Augmentation Using Text-to-Image GeneratorsCode0
Multi-hop Evidence Retrieval for Cross-document Relation ExtractionCode1
Entropy- and Distance-Based Predictors From GPT-2 Attention Patterns Predict Reading Times Over and Above GPT-2 SurprisalCode0
AgAsk: An Agent to Help Answer Farmer's Questions From Scientific DocumentsCode0
Addressing the Selection Bias in Voice Assistance: Training Voice Assistance Model in Python with Equal Data Selection—0
Generation-Augmented Query Expansion For Code Retrieval—0
Domain Generalization with Correlated Style UncertaintyCode0
To Adapt or to Annotate: Challenges and Interventions for Domain Adaptation in Open-Domain Question Answering—0
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept RelationshipsCode0
When Do Decompositions Help for Machine Reading?—0
HYRR: Hybrid Infused Reranking for Passage Retrieval—0
High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach—0
What Are You Token About? Dense Retrieval as Distributions Over the VocabularyCode0
Parameter-efficient Zero-shot Transfer for Cross-Language Dense Retrieval with Adapters—0
Empowering Sentence Encoders with Prompting and Label Retrieval for Zero-shot Text Classification—0
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step QuestionsCode2
Adam: Dense Retrieval Distillation with Adaptive Dark Examples—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