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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 5651–5675 of 9051 papers

TitleStatusHype
The Effect of Language Diversity When Fine-Tuning Large Language Models for Translation—0
The Effect of Training Dataset Size on Discriminative and Diffusion-Based Speech Enhancement Systems—0
The Engagement-Diversity Connection: Evidence from a Field Experiment on Spotify—0
The evolutionary stability of partial migration with Allee effects—0
The evolution of cooperation and diversity by integrated indirect reciprocity—0
Evolution of cooperation with Q-learning: the impact of information perception—0
The Evolution of Out-of-Distribution Robustness Throughout Fine-Tuning—0
The Externalities of Exploration and How Data Diversity Helps Exploitation—0
The external pallidum: think locally, act globally—0
The Fabrication of Reality and Fantasy: Scene Generation with LLM-Assisted Prompt Interpretation—0
The FIGNEWS Shared Task on News Media Narratives—0
The First Multilingual Model For The Detection of Suicide Texts—0
The Food Recognition Benchmark: Using DeepLearning to Recognize Food on Images—0
The Future of Employment Revisited: How Model Selection Determines Automation Forecasts—0
The generalized Price equation: forces that change population statistics—0
Understanding the genetic basis of variation in meiotic recombination: past, present, and future—0
The genetic code, 8-dimensional hypercomplex numbers and dyadic shifts—0
The geometry of relative arbitrage—0
The Ghanaian NLP Landscape: A First Look—0
The Great AI Witch Hunt: Reviewers Perception and (Mis)Conception of Generative AI in Research Writing—0
The impact of data set similarity and diversity on transfer learning success in time series forecasting—0
The Impact of Designated Market Makers on Market Liquidity and Competition: A Simulation Approach—0
The impact of dormancy on evolutionary branching—0
The Impact of Generative Artificial Intelligence on Ideation and the performance of Innovation Teams (Preprint)—0
The impact of intrinsic rewards on exploration in Reinforcement Learning—0
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