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 6701–6750 of 14297 papers

TitleStatusHype
A Multi-task Learning Framework for Product Ranking with BERT—0
Interest-based Item Representation Framework for Recommendation with Multi-Interests Capsule Network—0
Adaptive Semantic-Visual Tree for Hierarchical Embeddings—0
Enhancing Low-Resource Minority Language Translation with LLMs and Retrieval-Augmented Generation for Cultural Nuances—0
Implementation of an efficient Fuzzy Logic based Information Retrieval System—0
Interleaved Text/Image Deep Mining on a Very Large-Scale Radiology Database—0
Implementation Notes for the Soft Cosine Measure—0
A Usefulness-based Approach for Measuring the Local and Global Effect of IIR Services—0
Internal and External Knowledge Interactive Refinement Framework for Knowledge-Intensive Question Answering—0
International Speech Communication Association Distinguished Lecture: Principles and Design of a System for Academic Information Retrieval based on Human-Machine Dialogue—0
Impact of Semantic Granularity on Geographic Information Search Support—0
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation—0
Impact of Response Latency on User Behaviour in Mobile Web Search—0
Cross-modal Contrastive Learning for Speech Translation—0
Impact of detecting clinical trial elements in exploration of COVID-19 literature—0
Cross-modal Common Representation Learning by Hybrid Transfer Network—0
A Unified Retrieval Framework with Document Ranking and EDU Filtering for Multi-document Summarization—0
A Multi-Task Architecture on Relevance-based Neural Query Translation—0
Immediate, Scalable Object Category Detection—0
Imaging in random media by two-point coherent interferometry—0
Cross-Modal Center Loss for 3D Cross-Modal Retrieval—0
A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels—0
Imagine and Seek: Improving Composed Image Retrieval with an Imagined Proxy—0
Cross-modal Center Loss—0
Interpreting search result rankings through intent modeling—0
Imagination Based Sample Construction for Zero-Shot Learning—0
Image understanding and the web—0
A unified Neural Network Approach to E-CommerceRelevance Learning—0
A Multi-strategy Query Processing Approach for Biomedical Question Answering: USTB\_PRIR at BioASQ 2017 Task 5B—0
Adaptive Schema-aware Event Extraction with Retrieval-Augmented Generation—0
Image Transformation Sequence Retrieval with General Reinforcement Learning—0
Cross-Modal Attention Alignment Network with Auxiliary Text Description for zero-shot sketch-based image retrieval—0
Image-Text Retrieval with Binary and Continuous Label Supervision—0
Introducing a new hyper-parameter for RAG: Context Window Utilization—0
Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization—0
Image-text Retrieval: A Survey on Recent Research and Development—0
Image-Text Matching with Multi-View Attention—0
A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset—0
A Multi-Source Retrieval Question Answering Framework Based on RAG—0
Introducing Super RAGs in Mistral 8x7B-v1—0
Image Tag Completion and Refinement by Subspace Clustering and Matrix Completion—0
Introduction of a tree-based technique for efficient and real-time label retrieval in the object tracking system—0
Cross-Modal Adaptive Dual Association for Text-to-Image Person Retrieval—0
Introductory review to quantum information retrieval—0
Image Specificity—0
Cross-Modal Adapter: Parameter-Efficient Transfer Learning Approach for Vision-Language Models—0
A Unified Hierarchical Framework for Fine-grained Cross-view Geo-localization over Large-scale Scenarios—0
Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition—0
Image Similarity Using Sparse Representation and Compression Distance—0
Image Semantic Relation Generation—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