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 5901–5925 of 14297 papers

TitleStatusHype
Benchmarking Middle-Trained Language Models for Neural Search—0
Deep Reinforcement Learning for Organ Localization in CT—0
Deep Reinforcement Learning for Image Hashing—0
Deep Reinforced Query Reformulation for Information Retrieval—0
Benchmarking Cognitive Domains for LLMs: Insights from Taiwanese Hakka Culture—0
A Deep Reinforcement Learning Chatbot—0
ACER: Automatic Language Model Context Extension via Retrieval—0
Deep Ranking Based Cost-sensitive Multi-label Learning for Distant Supervision Relation Extraction—0
Deep Random Projection Outlyingness for Unsupervised Anomaly Detection—0
Benchmarking Biopharmaceuticals Retrieval-Augmented Generation Evaluation—0
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models—0
Benchmarking and Building Long-Context Retrieval Models with LoCo and M2-BERT—0
Deep Policy Hashing Network with Listwise Supervision—0
Benchmarking and Analyzing Generative Data for Visual Recognition—0
An Element-wise Visual-enhanced BiLSTM-CRF Model for Location Name Recognition—0
Deep Plug-and-Play HIO Approach for Phase Retrieval—0
DeepPhaseCut: Deep Relaxation in Phase for Unsupervised Fourier Phase Retrieval—0
Deep Ordinal Hashing with Spatial Attention—0
Deep Neural Solver for Math Word Problems—0
BEIR-PL: Zero Shot Information Retrieval Benchmark for the Polish Language—0
Deep Neural Networks for Query Expansion using Word Embeddings—0
BEIR-NL: Zero-shot Information Retrieval Benchmark for the Dutch Language—0
An Efficient Indexing and Searching Technique for Information Retrieval for Urdu Language—0
A Deep Perceptual Measure for Lens and Camera Calibration—0
ACE-BERT: Adversarial Cross-modal Enhanced BERT for E-commerce Retrieval—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