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 8101–8150 of 14297 papers

TitleStatusHype
A Transformer Based Pitch Sequence Autoencoder with MIDI Augmentation—0
A MapReduce Approach to Effectively Utilize Long Context Information in Retrieval Augmented Language Models—0
Hamming Sentence Embeddings for Information Retrieval—0
MarineVRS: Marine Video Retrieval System with Explainability via Semantic Understanding—0
Hamming Distance Metric Learning—0
Marking anything: application of point cloud in extracting video target features—0
Conversational Search -- A Report from Dagstuhl Seminar 19461—0
MaRU: A Manga Retrieval and Understanding System Connecting Vision and Language—0
Conversational Recommendation as Retrieval: A Simple, Strong Baseline—0
Mask2CAD: 3D Shape Prediction by Learning to Segment and Retrieve—0
A Transformer-based Embedding Model for Personalized Product Search—0
Hallucination-minimized Data-to-answer Framework for Financial Decision-makers—0
Half a Percent of Labels is Enough: Efficient Animal Detection in UAV Imagery using Deep CNNs and Active Learning—0
Masked Contrastive Pre-Training for Efficient Video-Text Retrieval—0
Hakim: Farsi Text Embedding Model—0
A Transfer Learning Pipeline for Educational Resource Discovery with Application in Leading Paragraph Generation—0
A machine vision meta-algorithm for automated recognition of underwater objects using sidescan sonar imagery—0
Adaptive Cross Batch Normalization for Metric Learning—0
Abstractive Text Summarization for Sanskrit Prose: A Study of Methods and Approaches—0
MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification—0
A Semantic Search Pipeline for Causality-driven Adhoc Information Retrieval—0
Mask to reconstruct: Cooperative Semantics Completion for Video-text Retrieval—0
Rethinking Loss Design for Large-scale 3D Shape Retrieval—0
Hadamard Codebook Based Deep Hashing—0
Habit Coach: Customising RAG-based chatbots to support behavior change—0
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers—0
GVCNN: Group-View Convolutional Neural Networks for 3D Shape Recognition—0
A Machine Learning Framework for Authorship Identification From Texts—0
GUMsley: Evaluating Entity Salience in Summarization for 12 English Genres—0
Conversation AI Dialog for Medicare powered by Finetuning and Retrieval Augmented Generation—0
Guiding Neural Machine Translation with Retrieved Translation Pieces—0
Guiding Interaction Behaviors for Multi-modal Grounded Language Learning—0
Guiding Data-Driven Design Ideation by Knowledge Distance—0
Guided Unsupervised Learning by Subaperture Decomposition for Ocean SAR Image Retrieval—0
Convergence of Learning Dynamics in Information Retrieval Games—0
Matching Tweets With Applicable Fact-Checks Across Languages—0
Match Your Words! A Study of Lexical Matching in Neural Information Retrieval—0
A Topological Method for Comparing Document Semantics—0
A Machine Learning Data Fusion Model for Soil Moisture Retrieval—0
Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search—0
Conv-CoA: Improving Open-domain Question Answering in Large Language Models via Conversational Chain-of-Action—0
MATERIALizing Cross-Language Information Retrieval: A Snapshot—0
GS-Pose: Generalizable Segmentation-based 6D Object Pose Estimation with 3D Gaussian Splatting—0
MathAlign: Linking Formula Identifiers to their Contextual Natural Language Descriptions—0
MathBERT: A Pre-Trained Model for Mathematical Formula Understanding—0
Mathematical Information Retrieval based on Type Embeddings and Query Expansion—0
Control Token with Dense Passage Retrieval—0
Role Taxonomy of Units in Deep Neural Networks—0
GS-CLIP: Gaussian Splatting for Contrastive Language-Image-3D Pretraining from Real-World Data—0
Control Search Rankings, Control the World: What is a Good Search Engine?—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