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 11301–11350 of 14297 papers

TitleStatusHype
Robust Candidate Generation for Entity Linking on Short Social Media Texts—0
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding—0
OntoSeg: a Novel Approach to Text Segmentation using Ontological Similarity—0
Provable Compressed Sensing with Generative Priors via Langevin Dynamics—0
Robust Cross-Modal Representation Learning with Progressive Self-Distillation—0
Robust Deep Learning with Active Noise Cancellation for Spatial Computing—0
Robust Document Representations for Cross-Lingual Information Retrieval in Low-Resource Settings—0
Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval—0
Robust exponential binary pattern storage in Little-Hopfield networks—0
Robust Few-Shot Vision-Language Model Adaptation—0
Robust Fragment-Based Framework for Cross-lingual Sentence Retrieval—0
Robust Gradient Descent for Phase Retrieval—0
Provable Burer-Monteiro factorization for a class of norm-constrained matrix problems—0
Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures—0
Robust Information Retrieval—0
Robust Information Retrieval for False Claims with Distracting Entities In Fact Extraction and Verification—0
Ontology-Based Retrieval \& Neural Approaches for BioASQ Ideal Answer Generation—0
Robust-IR @ SIGIR 2025: The First Workshop on Robust Information Retrieval—0
Prototype-to-Style: Dialogue Generation with Style-Aware Editing on Retrieval Memory—0
Robust PDF Document Conversion Using Recurrent Neural Networks—0
Robust Phase Retrieval via Reverse Kullback-Leibler Divergence—0
Robust phase retrieval with complexity-guidance for coherent X-ray imaging—0
Robust Phase Retrieval with Green Noise Binary Masks—0
Robust Point Light Source Estimation Using Differentiable Rendering—0
Robust Representation Learning of Biomedical Names—0
Prototypes are Balanced Units for Efficient and Effective Partially Relevant Video Retrieval—0
Robust retrieval of material chemical states in X-ray microspectroscopy—0
Prototype-Guided Text-based Person Search based on Rich Chinese Descriptions—0
Robust Semantic Parsing with Adversarial Learning for Domain Generalization—0
Robust Time-Series Retrieval Using Probabilistic Adaptive Segmental Alignment—0
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems—0
Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption—0
Re-creation of Creations: A New Paradigm for Lyric-to-Melody Generation—0
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering—0
RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking—0
Ontology-Based Query Expansion with Latently Related Named Entities for Semantic Text Search—0
RocqStar: Leveraging Similarity-driven Retrieval and Agentic Systems for Rocq generation—0
ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape—0
Ontology Based Pivoted normalization using Vector Based Approach for information Retrieval—0
Role of Audio in Audio-Visual Video Summarization—0
Role of Databases in GenAI Applications—0
Role of Matrix Factorization Model in Collaborative Filtering Algorithm: A Survey—0
RoleRAG: Enhancing LLM Role-Playing via Graph Guided Retrieval—0
Ontology-Based Categorization of Bacteria and Habitat Entities using Information Retrieval Techniques—0
Zero-Shot Sketch Based Image Retrieval using Graph Transformer—0
ProtIR: Iterative Refinement between Retrievers and Predictors for Protein Function Annotation—0
ProTIP: Progressive Tool Retrieval Improves Planning—0
Roominoes: Generating Novel 3D Floor Plans From Existing 3D Rooms—0
ROP inception: signal estimation with quadratic random sketching—0
ROPUST: Improving Robustness through Fine-tuning with Photonic Processors and Synthetic Gradients—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