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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 9301–9325 of 14297 papers

TitleStatusHype
Is Semantic Chunking Worth the Computational Cost?—0
Is Table Retrieval a Solved Problem? Exploring Join-Aware Multi-Table Retrieval—0
Is There a Procedural Logic to Architecture?—0
"Is this an example image?" -- Predicting the Relative Abstractness Level of Image and Text—0
Item Recommendation from Implicit Feedback—0
Iteratively Improving Biomedical Entity Linking and Event Extraction via Hard Expectation-Maximization—0
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback—0
Iterative Relevance Feedback for Answer Passage Retrieval with Passage-level Semantic Match—0
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy—0
IterKey: Iterative Keyword Generation with LLMs for Enhanced Retrieval Augmented Generation—0
It's About Time: Incorporating Temporality in Retrieval Augmented Language Models—0
It's High Time: A Survey of Temporal Information Retrieval and Question Answering—0
It's Time for Artistic Correspondence in Music and Video—0
ITTC @ TREC 2021 Clinical Trials Track—0
I Want This Product but Different : Multimodal Retrieval with Synthetic Query Expansion—0
Towards Better Monolingual Japanese Retrievers with Multi-Vector Models—0
JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create State-of-the-Art Japanese Retrievers with Constrained Resources—0
Jean-Luc Picard at Touché 2023: Comparing Image Generation, Stance Detection and Feature Matching for Image Retrieval for Arguments—0
JEPOO: Highly Accurate Joint Estimation of Pitch, Onset and Offset for Music Information Retrieval—0
Jewelry Shop Conversational Chatbot—0
結合類神經網路及文件概念圖之文件檢索研究(Document Retrieval based on Neural Network and Document Concept Graph)—0
jina-clip-v2: Multilingual Multimodal Embeddings for Text and Images—0
Jina CLIP: Your CLIP Model Is Also Your Text Retriever—0
Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retriever—0
Jina Embeddings: A Novel Set of High-Performance Sentence Embedding Models—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