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 7451–7500 of 14297 papers

TitleStatusHype
COVID-19 Literature Mining and Retrieval using Text Mining Approaches—0
How to Retrieve Examples in In-context Learning to Improve Conversational Emotion Recognition using Large Language Models?—0
Learning Polynomials of Few Relevant Dimensions—0
Learning Product Codebooks using Vector Quantized Autoencoders for Image Retrieval—0
How to Read Paintings: Semantic Art Understanding with Multi-Modal Retrieval—0
COVID-19 Knowledge Graph: Accelerating Information Retrieval and Discovery for Scientific Literature—0
Audio Captioning using Pre-Trained Large-Scale Language Model Guided by Audio-based Similar Caption Retrieval—0
Learning Rank Functionals: An Empirical Study—0
How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?—0
How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?—0
Learning Relationships for Multi-View 3D Object Recognition—0
Learning Representations and Agents for Information Retrieval—0
Covariance Descriptors for 3D Shape Matching and Retrieval—0
How to do lexical quality estimation of a large OCRed historical Finnish newspaper collection with scarce resources—0
Coupling Symbolic Reasoning with Language Modeling for Efficient Longitudinal Understanding of Unstructured Electronic Medical Records—0
How to Build Robust FAQ Chatbot with Controllable Question Generator?—0
How to Build an AI Tutor That Can Adapt to Any Course Using Knowledge Graph-Enhanced Retrieval-Augmented Generation (KG-RAG)—0
Coupling Retrieval and Meta-Learning for Context-Dependent Semantic Parsing—0
Audiobox TTA-RAG: Improving Zero-Shot and Few-Shot Text-To-Audio with Retrieval-Augmented Generation—0
Learning Scalable Discriminative Dictionary with Sample Relatedness—0
Learning Segment Similarity and Alignment in Large-Scale Content Based Video Retrieval—0
A Model-Agnostic Framework for Recommendation via Interest-aware Item Embeddings—0
How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation—0
Learning Semantic Relationships for Better Action Retrieval in Images—0
Coupled Neural Associative Memories—0
How Robust are Fact Checking Systems on Colloquial Claims?—0
Coupled intrinsic and extrinsic human language resource-based query expansion—0
Learning Semantic Similarity for Very Short Texts—0
Learning Semantics with Deep Belief Network for Cross-Language Information Retrieval—0
How Relevance Emerges: Interpreting LoRA Fine-Tuning in Reranking LLMs—0
How (not) to ensemble LVLMs for VQA—0
Visual Similarity Attention—0
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval—0
Learning Similarity Preserving Binary Codes for Recommender Systems—0
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval—0
Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval—0
Country-wide Retrieval of Forest Structure From Optical and SAR Satellite Imagery With Deep Ensembles—0
ATZSL: Defensive Zero-Shot Recognition in the Presence of Adversaries—0
A ML-LLM pairing for better code comment classification—0
Counting Grid Aggregation for Event Retrieval and Recognition—0
A Two-Stage Shape Retrieval (TSR) Method with Global and Local Features—0
Learning Spectral Transform Network on 3D Surface for Non-rigid Shape Analysis—0
How do QA models combine knowledge from LM and 100 passages?—0
Learning Structural Representations for Recipe Generation and Food Retrieval—0
How Do Large Vision-Language Models See Text in Image? Unveiling the Distinctive Role of OCR Heads—0
Counterfactual Learning To Rank for Utility-Maximizing Query Autocompletion—0
A Two-stage Framework for Compound Figure Separation—0
A Minimax Game for Instance based Selective Transfer Learning—0
A Case Study of NLG from Multimedia Data Sources: Generating Architectural Landmark Descriptions—0
SAGE: A Framework of Precise Retrieval for RAG—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