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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 6701–6725 of 9051 papers

TitleStatusHype
Progressive Open-Domain Response Generation with Multiple Controllable Attributes—0
Progressive Random Convolutions for Single Domain Generalization—0
A Novel Ensemble Learning Approach to Unsupervised Record Linkage—0
Progressive Sub-Graph Clustering Algorithm for Semi-Supervised Domain Adaptation Speaker Verification—0
Progressive trajectory matching for medical dataset distillation—0
Progress or Regress? Self-Improvement Reversal in Post-training—0
Teuken-7B-Base & Teuken-7B-Instruct: Towards European LLMs—0
Progress towards quantitative design principles of multicellular systems—0
A Novel Detection Algorithm Efficient for Turbo coded CDMA Signals in Detect and Forward Cooperative Channels—0
Projections of Economic Impacts of Climate Change on Marine Protected Areas: Palau, the Great Barrier Reef, and the Bering Sea—0
Unleashing the Power of Large Language Models in Zero-shot Relation Extraction via Self-Prompting—0
Prokaryotic genome editing based on the subtype I-B-Svi CRISPR-Cas system—0
A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using dMRI Tractography—0
Zero-Shot 4D Lidar Panoptic Segmentation—0
Promoting Diversity for End-to-End Conversation Response Generation—0
Unlocking Large Language Model's Planning Capabilities with Maximum Diversity Fine-tuning—0
Promoting Generalization for Exact Solvers via Adversarial Instance Augmentation—0
A Novel Data Augmentation Approach for Automatic Speaking Assessment on Opinion Expressions—0
Promoting Semantics in Multi-objective Genetic Programming based on Decomposition—0
Promoting the linguistic diversity of TEI in the Maghreb and the Arab region—0
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting—0
Accelerate & Actualize: Can 2D Materials Bridge the Gap Between Neuromorphic Hardware and the Human Brain?—0
PromptEVC: Controllable Emotional Voice Conversion with Natural Language Prompts—0
A Novel Cross-Perturbation for Single Domain Generalization—0
Prompting a Large Language Model to Generate Diverse Motivational Messages: A Comparison with Human-Written Messages—0
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