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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 2476–2500 of 9051 papers

TitleStatusHype
DKE-Research at SemEval-2024 Task 2: Incorporating Data Augmentation with Generative Models and Biomedical Knowledge to Enhance Inference Robustness—0
ChatGPT Role-play Dataset: Analysis of User Motives and Model Naturalness—0
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition—0
ChatGPT as Linguistic Equalizer? Quantifying LLM-Driven Lexical Shifts in Academic Writing—0
A Post-Training Enhanced Optimization Approach for Small Language Models—0
Diversity waves in collapse-driven population dynamics—0
Conversational Assistants in Knowledge-Intensive Contexts: An Evaluation of LLM- versus Intent-based Systems—0
A Picture May Be Worth a Hundred Words for Visual Question Answering—0
Characterizing Tradeoffs in Language Model Decoding with Informational Interpretations—0
Characterizing the structural diversity of complex networks across domains—0
AERF: Adaptive ensemble random fuzzy algorithm for anomaly detection in cloud computing—0
DivGAN: Towards Diverse Paraphrase Generation via Diversified Generative Adversarial Network—0
Characterizing the Social Interactions in the Artificial Bee Colony Algorithm—0
DeepAutoPIN: An automorphism orbits based deep neural network for characterizing the organizational diversity of protein interactomes across the tree of life—0
Aperture Selection for CAP Arrays (CAPAs)—0
Characterizing the dynamics of rubella relative to measles: the role of stochasticity—0
Characterizing Policy Divergence for Personalized Meta-Reinforcement Learning—0
A Dynamical Systems-Inspired Pruning Strategy for Addressing Oversmoothing in Graph Neural Networks—0
A 2030 United States Macro Grid Unlocking Geographical Diversity to Accomplish Clean Energy Goals—0
Characterizing Halloumi cheese bacterial communities through metagenomic analysis—0
Characterizing and Predicting Bursty Events: The Buzz Case Study on Twitter—0
Characterization of phase transitions in a model ecosystem of sessile species—0
Characterization of Methicillin-resistant Staphylococcus aureus Isolates from Fitness Centers in Memphis Metropolitan Area, USA—0
A Pattern Discovery Approach to Multivariate Time Series Forecasting—0
A Computational Model of Two Cognitive Transitions Underlying Cultural Evolution—0
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