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 10676–10700 of 14297 papers

TitleStatusHype
Fast and Exact Nearest Neighbor Search in Hamming Space on Full-Text Search Engines—0
Empowering Working Memory for Large Language Model Agents—0
Emptying the Ocean with a Spoon: Should We Edit Models?—0
Emulating Human Conversations using Convolutional Neural Network-based IR—0
Enabling Complex Wikipedia Queries - Technical Report—0
Enabling variable high spatial resolution retrieval from a long pulse BOTDA sensor—0
Encoded Summarization: Summarizing Documents into Continuous Vector Space for Legal Case Retrieval—0
Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering—0
Encode the Unseen: Predictive Video Hashing for Scalable Mid-Stream Retrieval—0
Encoding CNN Activations for Writer Recognition—0
Encoding World Knowledge in the Evaluation of Local Coherence—0
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories—0
EndoFinder: Online Image Retrieval for Explainable Colorectal Polyp Diagnosis—0
Endowing Deep 3D Models with Rotation Invariance Based on Principal Component Analysis—0
End-to-End Autoregressive Retrieval via Bootstrapping for Smart Reply Systems—0
End-to-End Bangla AI for Solving Math Olympiad Problem Benchmark: Leveraging Large Language Model Using Integrated Approach—0
End-to-end Binary Representation Learning via Direct Binary Embedding—0
End-to-end Concept Word Detection for Video Captioning, Retrieval, and Question Answering—0
End-to-End Crystal Structure Prediction from Powder X-Ray Diffraction—0
End-to-end Generative Pretraining for Multimodal Video Captioning—0
End-to-end learning of keypoint detector and descriptor for pose invariant 3D matching—0
End-To-End Measure for Text Recognition—0
Surprising Efficacy of Fine-Tuned Transformers for Fact-Checking over Larger Language Models—0
End-to-End Multimodal Representation Learning for Video Dialog—0
End-to-End QA on COVID-19: Domain Adaptation with Synthetic Training—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