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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 1776–1800 of 9051 papers

TitleStatusHype
LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs—0
Voice of a Continent: Mapping Africa's Speech Technology Frontier—0
ToDRE: Visual Token Pruning via Diversity and Task Awareness for Efficient Large Vision-Language Models—0
Measuring diversity of synthetic prompts and data generated with fine-grained persona prompting—0
High-Fidelity Functional Ultrasound Reconstruction via A Visual Auto-Regressive Framework—0
Large language model as user daily behavior data generator: balancing population diversity and individual personality—0
JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language ModelsCode0
CrashAgent: Crash Scenario Generation via Multi-modal Reasoning—0
Generative AI and Creativity: A Systematic Literature Review and Meta-AnalysisCode0
Exploring the Relationship Between Diversity and Quality in Ad Text Generation—0
Position of Uncertainty: A Cross-Linguistic Study of Positional Bias in Large Language Models—0
Robust Invariant Representation Learning by Distribution Extrapolation—0
Sudoku-Bench: Evaluating creative reasoning with Sudoku variantsCode0
Diverse, not Short: A Length-Controlled Self-Learning Framework for Improving Response Diversity of Language Models—0
Can LLMs Simulate Human Behavioral Variability? A Case Study in the Phonemic Fluency Task—0
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners—0
LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions—0
Swarm Intelligence Enhanced Reasoning: A Density-Driven Framework for LLM-Based Multi-Agent Optimization—0
Aug2Search: Enhancing Facebook Marketplace Search with LLM-Generated Synthetic Data Augmentation—0
GS2E: Gaussian Splatting is an Effective Data Generator for Event Stream Generation—0
Multilingual Prompting for Improving LLM Generation Diversity—0
FaceCrafter: Identity-Conditional Diffusion with Disentangled Control over Facial Pose, Expression, and Emotion—0
Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets—0
GAMA++: Disentangled Geometric Alignment with Adaptive Contrastive Perturbation for Reliable Domain Transfer—0
An Inclusive Foundation Model for Generalizable Cytogenetics in Precision Oncology—0
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