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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 4026–4050 of 14297 papers

TitleStatusHype
Do deep neural networks possess concept space grid cells?—0
An Oral History Annotation Tool for INTER-VIEWs—0
Does RAG Really Perform Bad For Long-Context Processing?—0
Exploiting Hierarchical Dependence Structures for Unsupervised Rank Fusion in Information Retrieval—0
Exploiting Latent Codes: Interactive Fashion Product Generation, Similar Image Retrieval, and Cross-Category Recommendation using Variational Autoencoders—0
A Note on Shift Retrieval Problems—0
Does your robot know? Enhancing children's information retrieval through spoken conversation with responsible robots—0
Do great minds think alike? Investigating Human-AI Complementarity in Question Answering with CAIMIRA—0
DOGR: Leveraging Document-Oriented Contrastive Learning in Generative Retrieval—0
Do Large Language Models Rank Fairly? An Empirical Study on the Fairness of LLMs as Rankers—0
Brainish: Formalizing A Multimodal Language for Intelligence and Consciousness—0
Automatic Identification and Ranking of Emergency Aids in Social Media Macro Community—0
D4R -- Exploring and Querying Relational Graphs Using Natural Language and Large Language Models -- the Case of Historical Documents—0
Analysis of Evolutionary Behavior in Self-Learning Media Search Engines—0
DOLPHIn - Dictionary Learning for Phase Retrieval—0
Domain Adaptation for Dense Retrieval and Conversational Dense Retrieval through Self-Supervision by Meticulous Pseudo-Relevance Labeling—0
Domain Adaptation for Dense Retrieval through Self-Supervision by Pseudo-Relevance Labeling—0
Domain Adaptation for Enterprise Email Search—0
D2CSE: Difference-aware Deep continuous prompts for Contrastive Sentence Embeddings—0
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks—0
Domain Adaptation of Multilingual Semantic Search - Literature Review—0
Breaking the Lens of the Telescope: Online Relevance Estimation over Large Retrieval Sets—0
Domain-Constrained Advertising Keyword Generation—0
Domain Disentangled Generative Adversarial Network for Zero-Shot Sketch-Based 3D Shape Retrieval—0
Accelerating Retrieval-Augmented Language Model Serving with Speculation—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