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 10651–10700 of 14297 papers

TitleStatusHype
Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection—0
Embedding And Clustering Your Data Can Improve Contrastive Pretraining—0
Embedding Arithmetic of Multimodal Queries for Image Retrieval—0
Embedding based on function approximation for large scale image search—0
Embedding-based Product Retrieval in Taobao Search—0
Embedding-based Recommender System for Job to Candidate Matching on Scale—0
Embedding based retrieval for long tail search queries in ecommerce—0
Embedding-based Retrieval with LLM for Effective Agriculture Information Extracting from Unstructured Data—0
Embedding Compression with Isotropic Iterative Quantization—0
Embedding Electronic Health Records for Clinical Information Retrieval—0
Embedding Label Structures for Fine-Grained Feature Representation—0
Embedding Meta-Textual Information for Improved Learning to Rank—0
Embedding Method for Knowledge Graph with Densely Defined Ontology—0
Embedding models for recommendation under contextual constraints—0
EmbedDistill: A Geometric Knowledge Distillation for Information Retrieval—0
EmbNum: Semantic labeling for numerical values with deep metric learning—0
Embodied-RAG: General Non-parametric Embodied Memory for Retrieval and Generation—0
EMDS-5: Environmental Microorganism Image Dataset Fifth Version for Multiple Image Analysis Tasks—0
EmoWear: Exploring Emotional Teasers for Voice Message Interaction on Smartwatches—0
Emphasizing Complementary Samples for Non-literal Cross-modal Retrieval—0
Empirical analysis of Binding Precedent efficiency in the Brazilian Supreme Court via Similar Case Retrieval—0
Empirical performance maximization for linear rank statistics—0
Empowering Agentic Video Analytics Systems with Video Language Models—0
Empowering Air Travelers: A Chatbot for Canadian Air Passenger Rights—0
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval—0
Fast and Exact Nearest Neighbor Search in Hamming Space on Full-Text Search Engines—0
Empowering Working Memory for Large Language Model Agents—0
Emptying the Ocean with a Spoon: Should We Edit Models?—0
Emulating Human Conversations using Convolutional Neural Network-based IR—0
Enabling Complex Wikipedia Queries - Technical Report—0
Enabling variable high spatial resolution retrieval from a long pulse BOTDA sensor—0
Encoded Summarization: Summarizing Documents into Continuous Vector Space for Legal Case Retrieval—0
Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering—0
Encode the Unseen: Predictive Video Hashing for Scalable Mid-Stream Retrieval—0
Encoding CNN Activations for Writer Recognition—0
Encoding World Knowledge in the Evaluation of Local Coherence—0
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories—0
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis—0
Endowing Deep 3D Models with Rotation Invariance Based on Principal Component Analysis—0
End-to-End Autoregressive Retrieval via Bootstrapping for Smart Reply Systems—0
End-to-End Bangla AI for Solving Math Olympiad Problem Benchmark: Leveraging Large Language Model Using Integrated Approach—0
End-to-end Binary Representation Learning via Direct Binary Embedding—0
End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering—0
End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction—0
End-to-end Generative Pretraining for Multimodal Video Captioning—0
End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching—0
End-To-End Measure for Text Recognition—0
Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language Models—0
End-to-End Multimodal Representation Learning for Video Dialog—0
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training—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