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 7901–7925 of 14297 papers

TitleStatusHype
Unified Generative & Dense Retrieval for Query Rewriting in Sponsored Search—0
Health-LLM: Personalized Retrieval-Augmented Disease Prediction System—0
Convolutional Signal Propagation: A Simple Scalable Algorithm for Hypergraphs—0
Local versus Global Strategies in Social Query Expansion—0
Attention-based Dynamic Subspace Learners for Medical Image Analysis—0
Location Field Descriptors: Single Image 3D Model Retrieval in the Wild—0
Ambient Search: A Document Retrieval System for Speech Streams—0
Location retrieval using visible landmarks based qualitative place signatures—0
Ascent Similarity Caching with Approximate Indexes—0
LocLinkVis: A Geographic Information Retrieval-Based System for Large-Scale Exploratory Search—0
SolBench: A Dataset and Benchmark for Evaluating Functional Correctness in Solidity Code Completion and Repair—0
Health Information Retrieval -- State of the art report—0
Convolutional Prototype Learning for Zero-Shot Recognition—0
HEAD-QA: A Healthcare Dataset for Complex Reasoning—0
Convolutional Phase Retrieval via Gradient Descent—0
Attention-Aware Polarity Sensitive Embedding for Affective Image Retrieval—0
HD-RAG: Retrieval-Augmented Generation for Hybrid Documents Containing Text and Hierarchical Tables—0
Convolutional Phase Retrieval—0
HDLdebugger: Streamlining HDL debugging with Large Language Models—0
HDLCopilot: Natural Language Exploration of Hardware Designs and Libraries—0
Logically at Factify 2: A Multi-Modal Fact Checking System Based on Evidence Retrieval techniques and Transformer Encoder Architecture—0
Logical Metonymy in a Distributional Model of Sentence Comprehension—0
Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach—0
Attention-Aware Generalized Mean Pooling for Image Retrieval—0
Convolutional Neural Network: Text Classification Model for Open Domain Question Answering System—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