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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 3051–3075 of 9051 papers

TitleStatusHype
Using Large Language Models to Generate Authentic Multi-agent Knowledge Work Datasets—0
Shear and transport in a flow environment determine spatial patterns and population dynamics in a model of nonlocal ecological competition—0
LLM-based multi-agent poetry generation in non-cooperative environmentsCode0
SVP: Style-Enhanced Vivid Portrait Talking Head Diffusion Model—0
Memory-Optimized Once-For-All NetworkCode0
An Effective Deployment of Diffusion LM for Data Augmentation in Low-Resource Sentiment ClassificationCode0
MSTT-199: MRI Dataset for Musculoskeletal Soft Tissue Tumor SegmentationCode0
Understanding the Role of Functional Diversity in Weight-Ensembling with Ingredient Selection and Multidimensional Scaling—0
Empirical evidence of Large Language Model's influence on human spoken communication—0
Throughput Optimization in Cache-aided Networks: An Opportunistic Probing and Scheduling Approach—0
Improved Diversity-Promoting Collaborative Metric Learning for Recommendation—0
SCOPE: Sign Language Contextual Processing with Embedding from LLMsCode0
A Framework for Synthetic Audio Conversations Generation using Large Language Models—0
Swarm Systems as a Platform for Open-Ended Evolutionary Dynamics—0
A practical generalization metric for deep networks benchmarking—0
MarsCode Agent: AI-native Automated Bug Fixing—0
PatternPaint: Practical Layout Pattern Generation Using Diffusion-Based Inpainting—0
Imitating Language via Scalable Inverse Reinforcement Learning—0
Enhancing Test Time Adaptation with Few-shot Guidance—0
Kullback-Leibler cluster entropy to quantify volatility correlation and risk diversity—0
Seeing Your Speech Style: A Novel Zero-Shot Identity-Disentanglement Face-based Voice Conversion—0
An adaptative differential evolution with enhanced diversity and restart mechanismCode0
TSO: Self-Training with Scaled Preference Optimization—0
Data Augmentation for Image Classification using Generative AI—0
Towards Tailored Recovery of Lexical Diversity in Literary Machine Translation—0
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