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 5326–5350 of 14297 papers

TitleStatusHype
Document Retrieval for Large Scale Content Analysis using Contextualized Dictionaries—0
Document Retrieval Augmented Fine-Tuning (DRAFT) for safety-critical software assessments—0
Bootstrapping Term Extractors for Multiple Languages—0
Document retrieval and question answering in medical documents. A large-scale corpus challenge.—0
Document Retrieval and Claim Verification to Mitigate COVID-19 Misinformation—0
Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars—0
An Open-Source Dual-Loss Embedding Model for Semantic Retrieval in Higher Education—0
Adversarial Databases Improve Success in Retrieval-based Large Language Models—0
Document Network Projection in Pretrained Word Embedding Space—0
Document Network Embedding: Coping for Missing Content and Missing Links—0
Bootstrapping Disjoint Datasets for Multilingual Multimodal Representation Learning—0
Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval—0
Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets and 100 Research Questions—0
Document Layout Analysis via Dynamic Residual Feature Fusion—0
Document image classification, with a specific view on applications of patent images—0
An Ontology-driven Treatment Article Retrieval System for Precision Oncology—0
Adversarial Cross-Modal Retrieval via Learning and Transferring Single-Modal Similarities—0
Document Image Binarization in JPEG Compressed Domain using Dual Discriminator Generative Adversarial Networks—0
Document Hashing with Mixture-Prior Generative Models—0
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing—0
DocumentNet: Bridging the Data Gap in Document Pre-Training—0
Document Distance for the Automated Expansion of Relevance Judgements for Information Retrieval Evaluation—0
Boosting Video-Text Retrieval with Explicit High-Level Semantics—0
DoctorRAG: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients—0
Do Cross Modal Systems Leverage Semantic Relationships?—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