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 7551–7575 of 14297 papers

TitleStatusHype
LLM-Ref: Enhancing Reference Handling in Technical Writing with Large Language Models—0
Learning to Rank by Optimizing NDCG Measure—0
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning—0
Learning to Rank for Active Learning: A Listwise Approach—0
Learning to Rank for Expert Search in Digital Libraries of Academic Publications—0
Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility Maximization—0
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics—0
Learning to Rank in the Age of Muppets: Effectiveness–Efficiency Tradeoffs in Multi-Stage Ranking—0
Evaluation of medium-large Language Models at zero-shot closed book generative question answering—0
Learning to Rank Semantic Coherence for Topic Segmentation—0
Evaluation of Information Retrieval Systems Using Structural Equation Modelling—0
Learning to Rank with Small Set of Ground Truth Data—0
DialFact: A Benchmark for Fact-Checking in Dialogue—0
Evaluation of drain, a deep-learning approach to rain retrieval from gpm passive microwave radiometer—0
Learning to Recognise Words using Visually Grounded Speech—0
Learning to Reformulate the Queries on the WEB—0
A retrieval-based dialogue system utilizing utterance and context embeddings—0
Evaluation of Distance Measures for Feature based Image Registration using AlexNet—0
Evaluation of Deep Gaussian Processes for Text Classification—0
Learning to Represent Image and Text with Denotation Graph—0
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection—0
Learning to Retrieve for Job Matching—0
Evaluation of Deep Convolutional Nets for Document Image Classification and Retrieval—0
Learning to Retrieve Iteratively for In-Context Learning—0
Evaluation of baseline information retrieval for Polish open-domain Question Answering system—0
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All datasetsQuora Question PairsHotpotQANatural QuestionsOK-VQAInfoSeekMVKPolyvorePubMedQAPubMedQA corpus with metadataToolLensคลิปไวรัล!! ไอซ์ ปรีชญา ลืมปิดไลฟ์สดตอนอาบน้ำ ถูกแชร์กระหึ่มเน็ต

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