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 5051–5075 of 14297 papers

TitleStatusHype
ChatMOF: An Autonomous AI System for Predicting and Generating Metal-Organic Frameworks—0
Generative Query Reformulation for Effective Adhoc Search—0
On the Effects of Regional Spelling Conventions in Retrieval ModelsCode0
Retrieval Augmented Generation and Representative Vector Summarization for large unstructured textual data in Medical EducationCode1
Defense of Adversarial Ranking Attack in Text Retrieval: Benchmark and Baseline via Detection—0
Lexically-Accelerated Dense RetrievalCode0
HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with AttributionCode1
All-In-One Metrical And Functional Structure Analysis With Neighborhood Attentions on Demixed AudioCode2
UniVTG: Towards Unified Video-Language Temporal GroundingCode2
Analysing the Resourcefulness of the Paragraph for Precedence RetrievalCode0
Debiased Pairwise Learning from Positive-Unlabeled Implicit FeedbackCode0
Select and Augment: Enhanced Dense Retrieval Knowledge Graph Augmentation—0
Staging E-Commerce Products for Online Advertising using Retrieval Assisted Image Generation—0
Med-HALT: Medical Domain Hallucination Test for Large Language ModelsCode1
AI Literature Review SuiteCode1
Retrieval-based Text Selection for Addressing Class-Imbalanced Data in Classification—0
Learning Multi-modal Representations by Watching Hundreds of Surgical Video LecturesCode1
Matching Patients to Clinical Trials with Large Language ModelsCode1
Exploring Annotation-free Image Captioning with Retrieval-augmented Pseudo Sentence GenerationCode0
How User Language Affects Conflict Fatality Estimates in ChatGPT—0
TabR: Tabular Deep Learning Meets Nearest Neighbors in 2023Code2
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training ModelsCode1
UnScientify: Detecting Scientific Uncertainty in Scholarly Full Text—0
An Intent Taxonomy of Legal Case Retrieval—0
Neural Memory Decoding with EEG Data and Representation Learning—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