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

Showing 1155111600 of 14297 papers

TitleStatusHype
Video Understanding as Machine Translation0
SEARCHER: Shared Embedding Architecture for Effective Retrieval0
SearchGCN: Powering Embedding Retrieval by Graph Convolution Networks for E-Commerce Search0
Searching by Code: a New SearchBySnippet Dataset and SnippeR Retrieval Model for Searching by Code Snippets0
Searching Dense Representations with Inverted Indexes0
Proceedings of the 3rd International Workshop on Reading Music Systems0
Searching for fingerspelled content in American Sign Language0
Searching for fingerspelled content in American Sign Language0
On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models0
Searching for Legal Documents at Paragraph Level: Automating Label Generation and Use of an Extended Attention Mask for Boosting Neural Models of Semantic Similarity0
Searching for Pneumothorax in Half a Million Chest X-Ray Images0
Searching for Relevant Lessons Learned Using Hybrid Information Retrieval Classifiers: A Case Study in Software Engineering0
Searching for Scientific Evidence in a Pandemic: An Overview of TREC-COVID0
Searching Four-Millenia-Old Digitized Documents: A Text Retrieval System for Egyptologists0
Vertex Nomination in Richly Attributed Networks0
Searching Personal Collections0
Searching Scientific Literature for Answers on COVID-19 Questions0
Proceedings of the 2nd International Workshop on Reading Music Systems0
Proceedings of the 1st Workshop on Natural Language Processing and Information Retrieval associated with RANLP 20170
Search Optimization with Query Likelihood Boosting and Two-Level Approximate Search for Edge Devices0
Proceedings of the 1st Workshop on Natural Language Processing and Information Retrieval associated with RANLP 20170
Proceedings of the 1st International Workshop on Reading Music Systems0
Search results diversification in competitive search0
Search Still Matters: Information Retrieval in the Era of Generative AI0
Search Tracker: Human-derived object tracking in-the-wild through large-scale search and retrieval0
Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty0
On the robustness of self-supervised representations for multi-view object classification0
SeasoNet: A Seasonal Scene Classification, segmentation and Retrieval dataset for satellite Imagery over Germany0
On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective0
Second-order Anisotropic Gaussian Directional Derivative Filters for Blob Detection0
SEC-QA: A Systematic Evaluation Corpus for Financial QA0
Secure Multifaceted-RAG for Enterprise: Hybrid Knowledge Retrieval with Security Filtering0
Vietnamese Legal Information Retrieval in Question-Answering System0
ViewFormer: View Set Attention for Multi-view 3D Shape Understanding0
See and Think: Embodied Agent in Virtual Environment0
Seed-based information retrieval in networks of research publications: Evaluation of direct citations, bibliographic coupling, co-citations and PubMed related article score0
Proceedings of the 17th Dutch-Belgian Information Retrieval Workshop0
On the Replicability of Combining Word Embeddings and Retrieval Models0
Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation0
Seeing is Knowing! Fact-based Visual Question Answering using Knowledge Graph Embeddings0
Proceedings of FACTS-IR 20190
View-invariant action recognition0
Seeing the Big Picture: Deep Embedding with Contextual Evidences0
On Cache-Aided Multi-User Private Information Retrieval with Small Caches0
Seeing What Matters: Empowering CLIP with Patch Generation-to-Selection0
Problem Structure and Evidential Reasoning0
Probing Contextual Language Models for Common Ground with Visual Representations0
Seeking to Collide: Online Safety-Critical Scenario Generation for Autonomous Driving with Retrieval Augmented Large Language Models0
View N-gram Network for 3D Object Retrieval0
See What You See: Self-supervised Cross-modal Retrieval of Visual Stimuli from Brain Activity0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified