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 9701–9750 of 14297 papers

TitleStatusHype
Contrastive Learning for Interactive Recommendation in Fashion—0
Contrastive Learning of 3D Shape Descriptor with Dynamic Adversarial Views—0
Contrastive Learning of Visual-Semantic Embeddings—0
Contrastive Learning to Improve Retrieval for Real-world Fact Checking—0
Contrastive masked auto-encoders based self-supervised hashing for 2D image and 3D point cloud cross-modal retrieval—0
Contrastive Pre-training for Zero-Shot Information Retrieval—0
CoST: Contrastive Quantization based Semantic Tokenization for Generative Recommendation—0
Contrastive Video-Language Learning with Fine-grained Frame Sampling—0
Contrato360 2.0: A Document and Database-Driven Question-Answer System using Large Language Models and Agents—0
ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation—0
Contribution au Niveau de l'Approche Indirecte à Base de Transfert dans la Traduction Automatique—0
Contributions to the Improvement of Question Answering Systems in the Biomedical Domain—0
Contri(e)ve: Context + Retrieve for Scholarly Question Answering—0
Control Architecture of the Double-Cross-Correlation Processor for Sampling-Rate-Offset Estimation in Acoustic Sensor Networks—0
Controllable Augmentations for Video Representation Learning—0
Controlled AutoEncoders to Generate Faces from Voices—0
Controlled Retrieval-augmented Context Evaluation for Long-form RAG—0
Controlling Chat Bot Multi-Document Navigation with the Extended Discourse Trees—0
I3: Intent-Introspective Retrieval Conditioned on Instructions—0
Control Search Rankings, Control the World: What is a Good Search Engine?—0
Control Token with Dense Passage Retrieval—0
Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action—0
Convergence of Learning Dynamics in Information Retrieval Games—0
Conversation AI Dialog for Medicare powered by Finetuning and Retrieval Augmented Generation—0
Conversational Recommendation as Retrieval: A Simple, Strong Baseline—0
Conversational Search -- A Report from Dagstuhl Seminar 19461—0
Conversational Search for Learning Technologies—0
Conversational Search with Mixed-Initiative -- Asking Good Clarification Questions backed-up by Passage Retrieval—0
Conversational Search with Mixed-Initiative - Asking Good Clarification Questions backed-up by Passage Retrieval—0
Conversational Text Extraction with Large Language Models Using Retrieval-Augmented Systems—0
Conversation Initiation by Diverse News Contents Introduction—0
Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report—0
Convex and Scalable Weakly Labeled SVMs—0
Convex Augmentation for Total Variation Based Phase Retrieval—0
Convex Phase Retrieval without Lifting via PhaseMax—0
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models—0
Convolutional Hashing for Automated Scene Matching—0
Convolutional Neural Associative Memories: Massive Capacity with Noise Tolerance—0
Convolutional Neural Network on Three Orthogonal Planes for Dynamic Texture Classification—0
Convolutional neural networks as an alternative to Bayesian retrievals—0
Convolutional Neural Networks for Histopathology Image Classification: Training vs. Using Pre-Trained Networks—0
Convolutional Neural Network: Text Classification Model for Open Domain Question Answering System—0
Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach—0
Convolutional Phase Retrieval—0
Convolutional Phase Retrieval via Gradient Descent—0
Convolutional Prototype Learning for Zero-Shot Recognition—0
Convolutional Signal Propagation: A Simple Scalable Algorithm for Hypergraphs—0
Convolutive Block-Matching Segmentation Algorithm with Application to Music Structure Analysis—0
CookingSense: A Culinary Knowledgebase with Multidisciplinary Assertions—0
Cooperative Embeddings for Instance, Attribute and Category Retrieval—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