SOTAVerified

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 9176–9200 of 14297 papers

TitleStatusHype
Inserting Faces inside Captions: Image Captioning with Attention Guided Merging—0
InsertRank: LLMs can reason over BM25 scores to Improve Listwise Reranking—0
Insights into Entity Name Evolution on Wikipedia—0
Instance-Aware Hashing for Multi-Label Image Retrieval—0
Instance-based Inductive Deep Transfer Learning by Cross-Dataset Querying with Locality Sensitive Hashing—0
Instance-based Transfer Learning for Multilingual Deep Retrieval—0
Instance Image Retrieval by Learning Purely From Within the Dataset—0
Instance-level Sketch-based Retrieval by Deep Triplet Classification Siamese Network—0
Instance Retrieval at Fine-grained Level Using Multi-Attribute Recognition—0
Instance Selection for Online Automatic Post-Editing in a multi-domain scenario—0
Instance-Variant Loss with Gaussian RBF Kernel for 3D Cross-modal Retriveal—0
Instance-weighted Central Similarity for Multi-label Image Retrieval—0
Instruct-Imagen: Image Generation with Multi-modal Instruction—0
InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning—0
InstructPTS: Instruction-Tuning LLMs for Product Title Summarization—0
InstructRAG: Leveraging Retrieval-Augmented Generation on Instruction Graphs for LLM-Based Task Planning—0
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining—0
An Unpaired Shape Transforming Method for Image Translation and Cross-Domain Retrieval—0
Integrating Chain-of-Thought and Retrieval Augmented Generation Enhances Rare Disease Diagnosis from Clinical Notes—0
Integrating Entity Linking and Evidence Ranking for Fact Extraction and Verification—0
Integrating External Event Knowledge for Script Learning—0
Integrating Information Theory and Adversarial Learning for Cross-modal Retrieval—0
Integrating Knowledge from Latent and Explicit Features for Triple Scoring - Team Radicchio's Triple Scorer at WSDM Cup 2017—0
Integrating Large Language Models with Graph-based Reasoning for Conversational Question Answering—0
Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification—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