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

Showing 52015225 of 14297 papers

TitleStatusHype
Fine-Tuning and Retrieval Augmented Generation for Question Answering Using Affordable Large Language ModelsCode0
12-in-1: Multi-Task Vision and Language Representation LearningCode0
FinTral: A Family of GPT-4 Level Multimodal Financial Large Language ModelsCode0
FixMyPose: Pose Correctional Captioning and RetrievalCode0
Adversarial Style Augmentation for Domain GeneralizationCode0
Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question AnsweringCode0
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image RetrievalCode0
Fine-tune the Entire RAG Architecture (including DPR retriever) for Question-AnsweringCode0
Combining a Context Aware Neural Network with a Denoising Autoencoder for Measuring String SimilaritiesCode0
Drill-down: Interactive Retrieval of Complex Scenes using Natural Language QueriesCode0
Fine-grained Apparel Classification and Retrieval without rich annotationsCode0
NewsQuote: A Dataset Built on Quote Extraction and Attribution for Expert Recommendation in Fact-CheckingCode0
DREW : Towards Robust Data Provenance by Leveraging Error-Controlled WatermarkingCode0
Finding beans in burgers: Deep semantic-visual embedding with localizationCode0
Finding Needles in Emb(a)dding Haystacks: Legal Document Retrieval via Bagging and SVR EnsemblesCode0
Finding Structure in Text, Genome and Other Symbolic SequencesCode0
Fine-Grained Image Captioning with Global-Local Discriminative ObjectiveCode0
FG-RAG: Enhancing Query-Focused Summarization with Context-Aware Fine-Grained Graph RAGCode0
FiCo-ITR: bridging fine-grained and coarse-grained image-text retrieval for comparative performance analysisCode0
Combining Query Performance Predictors: A Reproducibility StudyCode0
Financial Report Chunking for Effective Retrieval Augmented GenerationCode0
DRAFT: Dense Retrieval Augmented Few-shot Topic classifier FrameworkCode0
DPTDR: Deep Prompt Tuning for Dense Passage RetrievalCode0
Bridging the Domain Gap for Ground-to-Aerial Image MatchingCode0
DP-RDM: Adapting Diffusion Models to Private Domains Without Fine-TuningCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second183.53Unverified
2ElasticsearchQueries per second21.8Unverified
3BM25-PTQueries per second6.49Unverified
4Rank-BM25Queries per second1.18Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second20.88Unverified
2ElasticsearchQueries per second7.11Unverified
3Rank-BM25Queries per second0.04Unverified
#ModelMetricClaimedVerifiedStatus
1BM25SQueries per second41.85Unverified
2ElasticsearchQueries per second12.16Unverified
3Rank-BM25Queries per second0.1Unverified
#ModelMetricClaimedVerifiedStatus
1FLMRRecall@589.32Unverified
2RA-VQARecall@582.84Unverified
#ModelMetricClaimedVerifiedStatus
1PreFLMRRecall@562.1Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP-KIStext-to-video Mean Rank30Unverified
#ModelMetricClaimedVerifiedStatus
1CLIP4OutfitRecall@57.59Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1MetaGen Blended RAGAccuracy (Top-1)82.1Unverified
#ModelMetricClaimedVerifiedStatus
1COLTCOMP@84.55Unverified
#ModelMetricClaimedVerifiedStatus
1hello0L1,121,222Unverified