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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 176–200 of 9051 papers

TitleStatusHype
Counterfactual Multi-player Bandits for Explainable Recommendation DiversificationCode0
The NaijaVoices Dataset: Cultivating Large-Scale, High-Quality, Culturally-Rich Speech Data for African Languages—0
Holes in Latent Space: Topological Signatures Under Adversarial Influence—0
Token-Importance Guided Direct Preference Optimization—0
Kuramoto-FedAvg: Using Synchronization Dynamics to Improve Federated Learning Optimization under Statistical Heterogeneity—0
An Out-Of-Distribution Membership Inference Attack Approach for Cross-Domain Graph Attacks—0
Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning—0
We Need to Measure Data Diversity in NLP -- Better and Broader—0
Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory—0
Force Prompting: Video Generation Models Can Learn and Generalize Physics-based Control Signals—0
CulFiT: A Fine-grained Cultural-aware LLM Training Paradigm via Multilingual Critique Data SynthesisCode0
ReDDiT: Rehashing Noise for Discrete Visual Generation—0
EmoNet-Face: An Expert-Annotated Benchmark for Synthetic Emotion Recognition—0
The Role of Diversity in In-Context Learning for Large Language Models—0
VisualToolAgent (VisTA): A Reinforcement Learning Framework for Visual Tool Selection—0
DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving—0
Pan-tropical plant functional trait variation from space—0
PIGPVAE: Physics-Informed Gaussian Process Variational Autoencoders—0
MMP-2K: A Benchmark Multi-Labeled Macro Photography Image Quality Assessment DatabaseCode1
Less is More: Efficient Point Cloud Reconstruction via Multi-Head Decoders—0
The Price of Format: Diversity Collapse in LLMsCode0
MGD^3: Mode-Guided Dataset Distillation using Diffusion Models—0
Beyond Editing Pairs: Fine-Grained Instructional Image Editing via Multi-Scale Learnable Regions—0
SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs—0
Voice of a Continent: Mapping Africa's Speech Technology Frontier—0
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