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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 3976–4000 of 9051 papers

TitleStatusHype
ACTER: Diverse and Actionable Counterfactual Sequences for Explaining and Diagnosing RL Policies—0
Monopoly agenda control with privately informed voters—0
Scrapping The Web For Early Wildfire Detection: A New Annotated Dataset of Images and Videos of Smoke Plumes In-the-wild—0
Randomness Is All You Need: Semantic Traversal of Problem-Solution Spaces with Large Language ModelsCode0
Rethinking Data Selection for Supervised Fine-Tuning—0
Conversational Assistants in Knowledge-Intensive Contexts: An Evaluation of LLM- versus Intent-based Systems—0
Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge DistillationCode0
Advancing Video Anomaly Detection: A Concise Review and a New Dataset—0
Multimodal Query Suggestion with Multi-Agent Reinforcement Learning from Human Feedback—0
Learning Diverse Policies with Soft Self-Generated Guidance—0
On Provable Length and Compositional GeneralizationCode0
What is "Typological Diversity" in NLP?Code0
Controllable Diverse Sampling for Diffusion Based Motion Behavior Forecasting—0
Improved Generalization of Weight Space Networks via AugmentationsCode0
Partially Recentralization Softmax Loss for Vision-Language Models Robustness—0
Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and Privacy—0
On Practical Diversified Recommendation with Controllable Category Diversity FrameworkCode0
Learning immune receptor representations with protein language models—0
Multi-class Road Defect Detection and Segmentation using Spatial and Channel-wise Attention for Autonomous Road Repairing—0
LB-KBQA: Large-language-model and BERT based Knowledge-Based Question and Answering System—0
Linguistic features for sentence difficulty prediction in ABSA—0
"Define Your Terms" : Enhancing Efficient Offensive Speech Classification with DefinitionCode0
Avoiding an AI-imposed Taylor's Version of all music history—0
Diversity Measurement and Subset Selection for Instruction Tuning Datasets—0
Grammar-based evolutionary approach for automated workflow composition with domain-specific operators and ensemble diversity—0
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