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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 2876–2900 of 9051 papers

TitleStatusHype
"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with DefinitionCode0
Retrieval-Augmented Score Distillation for Text-to-3D GenerationCode2
Training-Free Consistent Text-to-Image GenerationCode2
Diversity Measurement and Subset Selection for Instruction Tuning Datasets—0
FAS-assisted Wireless Powered Communication Systems—0
Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity—0
A Survey of Constraint Formulations in Safe Reinforcement Learning—0
The effect of diversity on group decision-makingCode0
Can Shape-Infused Joint Embeddings Improve Image-Conditioned 3D Diffusion?—0
FedShift: Tackling Dual Heterogeneity Problem of Federated Learning via Weight Shift Aggregation—0
An Empirical Analysis of Diversity in Argument Summarization—0
BehAVE: Behaviour Alignment of Video Game EncodingsCode1
AccentFold: A Journey through African Accents for Zero-Shot ASR Adaptation to Target Accents—0
A fast density peak clustering based particle swarm optimizer for dynamic optimization—0
Evolutionary Algorithms Simulating Molecular Evolution: A New Field Proposal—0
IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity RecognitionCode1
Diverse Explanations From Data-Driven and Domain-Driven Perspectives in the Physical SciencesCode0
Bias in Opinion Summarisation from Pre-training to Adaptation: A Case Study in Political Bias—0
SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling—0
Dual-Student Knowledge Distillation Networks for Unsupervised Anomaly Detection—0
LLM Voting: Human Choices and AI Collective Decision MakingCode1
SPECTRUM: Speaker-Enhanced Pre-Training for Long Dialogue Summarization—0
Topology-Aware Latent Diffusion for 3D Shape Generation—0
LongAlign: A Recipe for Long Context Alignment of Large Language ModelsCode3
Large Language Models for Mathematical Reasoning: Progresses and Challenges—0
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