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 3451–3475 of 14297 papers

TitleStatusHype
Evaluating Retrieval Quality in Retrieval-Augmented GenerationCode1
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense RetrievalCode1
Anchor-aware Deep Metric Learning for Audio-visual Retrieval—0
Video sentence grounding with temporally global textual knowledge—0
Collaborative Visual Place Recognition through Federated Learning—0
Retrieval-Augmented Generation-based Relation ExtractionCode2
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge BasesCode3
Single-sample image-fusion upsampling of fluorescence lifetime images—0
Dubo-SQL: Diverse Retrieval-Augmented Generation and Fine Tuning for Text-to-SQLCode1
Multi-Class Quantum Convolutional Neural Networks—0
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?Code1
Cross-Modal Adapter: Parameter-Efficient Transfer Learning Approach for Vision-Language Models—0
Towards Human-centered Proactive Conversational Agents—0
The Solution for the CVPR2024 NICE Image Captioning Challenge—0
PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering—0
Unlocking Multi-View Insights in Knowledge-Dense Retrieval-Augmented Generation—0
RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generation—0
Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds—0
RAGAR, Your Falsehood Radar: RAG-Augmented Reasoning for Political Fact-Checking using Multimodal Large Language Models—0
Exploring the landscape of large language models: Foundations, techniques, and challenges—0
From Language Models to Practical Self-Improving Computer Agents—0
De-DSI: Decentralised Differentiable Search IndexCode0
iRAG: Advancing RAG for Videos with an Incremental Approach—0
RAM: Towards an Ever-Improving Memory System by Learning from Communications—0
Length Generalization of Causal Transformers without Position EncodingCode1
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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