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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 2251–2275 of 9051 papers

TitleStatusHype
UniForm: A Unified Multi-Task Diffusion Transformer for Audio-Video Generation—0
MaxInfo: A Training-Free Key-Frame Selection Method Using Maximum Volume for Enhanced Video Understanding—0
Diversity as a Reward: Fine-Tuning LLMs on a Mixture of Domain-Undetermined Data—0
From Features to Transformers: Redefining Ranking for Scalable Impact—0
Controllable Satellite-to-Street-View Synthesis with Precise Pose Alignment and Zero-Shot Environmental Control—0
Proportional Selection in Networks—0
KDA: A Knowledge-Distilled Attacker for Generating Diverse Prompts to Jailbreak LLMs—0
Topic Modeling in Marathi—0
Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization—0
How Inclusively do LMs Perceive Social and Moral Norms?Code0
Position Paper: Building Trust in Synthetic Data for Clinical AI—0
Latent Lexical Projection in Large Language Models: A Novel Approach to Implicit Representation Refinement—0
BARE: Leveraging Base Language Models for Few-Shot Synthetic Data Generation—0
SliderSpace: Decomposing the Visual Capabilities of Diffusion ModelsCode0
FCBoost-Net: A Generative Network for Synthesizing Multiple Collocated Outfits via Fashion Compatibility Boosting—0
Multilingual State Space Models for Structured Question Answering in Indic LanguagesCode0
The Impact of Persona-based Political Perspectives on Hateful Content Detection—0
Dominated Novelty Search: Rethinking Local Competition in Quality-DiversityCode0
Predictive modeling and anomaly detection in large-scale web portals through the CAWAL framework—0
Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations—0
DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition—0
Improving vision-language alignment with graph spiking hybrid Networks—0
In Pursuit of Predictive Models of Human Preferences Toward AI Teammates—0
Language Games as the Pathway to Artificial Superhuman Intelligence—0
Genetic Algorithm with Innovative Chromosome Patterns in the Breeding ProcessCode0
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