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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 6226–6250 of 9051 papers

TitleStatusHype
Open Domain Suggestion Mining Leveraging Fine-Grained Analysis—0
Open-Ended Diverse Solution Discovery with Regulated Behavior Patterns for Cross-Domain Adaptation—0
Open-Ended Evolution for Minecraft Building Generation—0
Open-Ended Learning Strategies for Learning Complex Locomotion Skills—0
Understanding and Modelling the Complexity of the Immune System: Systems Biology for Integration and Dynamical Reconstruction of Lymphocyte Multi-Scale Dynamics—0
Arithmetic Sampling: Parallel Diverse Decoding for Large Language Models—0
Open Generative Large Language Models for Galician—0
Understanding attention-based encoder-decoder networks: a case study with chess scoresheet recognition—0
A Rigorous Study on Named Entity Recognition: Can Fine-tuning Pretrained Model Lead to the Promised Land?—0
Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark—0
Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak—0
Open Loop Hyperparameter Optimization and Determinantal Point Processes—0
Argument Quality Assessment in the Age of Instruction-Following Large Language Models—0
Open Problems in Human Trait Genetics—0
OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction—0
Argument Identification in Public Comments from eRulemaking—0
Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset—0
A Character-Centric Creative Story Generation via Imagination—0
Argument Generation with Retrieval, Planning, and Realization—0
Open-Vocabulary Object Detection via Neighboring Region Attention Alignment—0
Open-World Evaluation for Retrieving Diverse Perspectives—0
ARFlow: Human Action-Reaction Flow Matching with Physical Guidance—0
Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?—0
Operationalizing Framing to Support Multiperspective Recommendations of Opinion Pieces—0
Operational Neural Networks—0
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