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 6951–7000 of 14297 papers

TitleStatusHype
Explainable Biomedical Hypothesis Generation via Retrieval Augmented Generation enabled Large Language Models—0
eXplainable Bayesian Multi-Perspective Generative Retrieval—0
Keypoint-Aligned Embeddings for Image Retrieval and Re-identification—0
Keypoint Encoding for Improved Feature Extraction from Compressed Video at Low Bitrates—0
A Rich Recipe Representation as Plan to Support Expressive Multi Modal Queries on Recipe Content and Preparation Process—0
Balancing Reinforcement Learning Training Experiences in Interactive Information Retrieval—0
CLIP2TV: Align, Match and Distill for Video-Text Retrieval—0
Keyword Augmented Retrieval: Novel framework for Information Retrieval integrated with speech interface—0
Keyword-Based Diverse Image Retrieval by Semantics-aware Contrastive Learning and Transformer—0
Keyword-based Natural Language Premise Selection for an Automatic Mathematical Statement Proving—0
Balancing Sparsity and Rank Constraints in Quadratic Basis Pursuit—0
Keyword Embeddings for Query Suggestion—0
Keyword Extraction for Improved Document Retrieval in Conversational Search—0
Explainable Agreement through Simulation for Tasks with Subjective Labels—0
Deep Image Synthesis from Intuitive User Input: A Review and Perspectives—0
KG-ECO: Knowledge Graph Enhanced Entity Correction for Query Rewriting—0
Learning Autoencoded Radon Projections—0
Explainability of Text Processing and Retrieval Methods: A Critical Survey—0
KGI: An Integrated Framework for Knowledge Intensive Language Tasks—0
Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval—0
Deep Iterative Phase Retrieval for Ptychography—0
KG-RAG: Bridging the Gap Between Knowledge and Creativity—0
CliniQ: A Multi-faceted Benchmark for Electronic Health Record Retrieval with Semantic Match Assessment—0
KGValidator: A Framework for Automatic Validation of Knowledge Graph Construction—0
A Convolutional Architecture for 3D Model Embedding—0
DeepJoin: Joinable Table Discovery with Pre-trained Language Models—0
Killing two birds with one stone: Can an audio captioning system also be used for audio-text retrieval?—0
Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model—0
Learning Barycentric Representations of 3D Shapes for Sketch-Based 3D Shape Retrieval—0
Deep Joint Source-Channel Coding for Wireless Image Retrieval—0
KIMAs: A Configurable Knowledge Integrated Multi-Agent System—0
KIMERA: Injecting Domain Knowledge into Vacant Transformer Heads—0
Kinit Classification in Ethiopian Chants, Azmaris and Modern Music: A New Dataset and CNN Benchmark—0
KIQA: Knowledge-Infused Question Answering Model for Financial Table-Text Data—0
KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation—0
KisanQRS: A Deep Learning-based Automated Query-Response System for Agricultural Decision-Making—0
Deep Learning and Continuous Representations for Natural Language Processing—0
Golden-Retriever: High-Fidelity Agentic Retrieval Augmented Generation for Industrial Knowledge Base—0
KITTEN: A Knowledge-Intensive Evaluation of Image Generation on Visual Entities—0
KLUCB Approach to Copeland Bandits—0
Learning by Aligning 2D Skeleton Sequences and Multi-Modality Fusion—0
ExpertRank: A Multi-level Coarse-grained Expert-based Listwise Ranking Loss—0
KNET: A General Framework for Learning Word Embedding using Morphological Knowledge—0
KNET: Integrating Hypermedia and Bayesian Modeling—0
kNN-Adapter: Efficient Domain Adaptation for Black-Box Language Models—0
kNN-CLIP: Retrieval Enables Training-Free Segmentation on Continually Expanding Large Vocabularies—0
KNN-Diffusion: Image Generation via Large-Scale Retrieval—0
kNN-Embed: Locally Smoothed Embedding Mixtures For Multi-interest Candidate Retrieval—0
Approximate k-NN Graph Construction: a Generic Online Approach—0
ExpertRAG: Efficient RAG with Mixture of Experts -- Optimizing Context Retrieval for Adaptive LLM Responses—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