SOTAVerified

Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

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Showing 1576–1600 of 9051 papers

TitleStatusHype
MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse InstructionsCode0
TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution—0
SpoofCeleb: Speech Deepfake Detection and SASV In The Wild—0
RopeBEV: A Multi-Camera Roadside Perception Network in Bird's-Eye-View—0
PainDiffusion: Can robot express pain?—0
Enhancing Complex Formula Recognition with Hierarchical Detail-Focused Network—0
Data Efficient Acoustic Scene Classification using Teacher-Informed Confusing Class Instruction—0
Vista3D: Unravel the 3D Darkside of a Single ImageCode2
k-mer-based approaches to bridging pangenomics and population genetics—0
Multivariate Analysis of Gut Microbiota Composition and Prevalence of Gastric Cancer—0
EventAug: Multifaceted Spatio-Temporal Data Augmentation Methods for Event-based Learning—0
GUNet: A Graph Convolutional Network United Diffusion Model for Stable and Diversity Pose Generation—0
Massively Multi-Person 3D Human Motion Forecasting with Scene ContextCode1
In-Context Learning of Linear Systems: Generalization Theory and Applications to Operator LearningCode0
A Chinese Continuous Sign Language Dataset Based on Complex Environments—0
Augment, Drop & Swap: Improving Diversity in LLM Captions for Efficient Music-Text Representation Learning—0
Macroscopic properties of equity markets: stylized facts and portfolio performanceCode0
A Framework for Ranking Content Providers Using Prompt Engineering and Self-Attention Network—0
Higher-order interactions in random Lotka-Volterra communities—0
Balancing Optimality and Diversity: Human-Centered Decision Making through Generative Curation—0
LOLA -- An Open-Source Massively Multilingual Large Language ModelCode1
AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs—0
Diversify and Conquer: Diversity-Centric Data Selection with Iterative RefinementCode1
Multi-Cohort Framework with Cohort-Aware Attention and Adversarial Mutual-Information Minimization for Whole Slide Image Classification—0
Synthetic data augmentation for robotic mobility aids to support blind and low vision people—0
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