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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 1901–1950 of 9051 papers

TitleStatusHype
Balancing Creativity and Automation: The Influence of AI on Modern Film Production and Dissemination—0
MATCHA: Can Multi-Agent Collaboration Build a Trustworthy Conversational Recommender?—0
DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning—0
PolyMath: Evaluating Mathematical Reasoning in Multilingual Contexts—0
Offline Learning of Controllable Diverse Behaviors—0
Targeted AMP generation through controlled diffusion with efficient embeddings—0
Robo-Troj: Attacking LLM-based Task Planners—0
Latent Video Dataset Distillation—0
Computational Typology—0
A species of Coprococcus is related to BMI in patients who underwent malabsorptive bariatric surgery and its abundance is modified by magnesium and thiamin intake—0
Agricultural Economics and Innovation in the Inca Empire—0
Bringing Diversity from Diffusion Models to Semantic-Guided Face Asset Generation—0
Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions—0
Surrogate Fitness Metrics for Interpretable Reinforcement Learning—0
DialogueAgents: A Hybrid Agent-Based Speech Synthesis Framework for Multi-Party DialogueCode0
Adaptation Method for Misinformation Identification—0
Diverse Prompts: Illuminating the Prompt Space of Large Language Models with MAP-Elites—0
PipeWeaver: Addressing Data Dynamicity in Large Multimodal Model Training with Dynamic Interleaved Pipeline—0
Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity—0
DeepPD: Joint Phase and Object Estimation from Phase Diversity with Neural Calibration of a Deformable Mirror—0
Personalized News Recommendation with Multi-granularity Candidate-aware User Modeling—0
A Multimodal Recaptioning Framework to Account for Perceptual Diversity in Multilingual Vision-Language Modeling—0
Entropy Rectifying Guidance for Diffusion and Flow Models—0
MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space—0
Effective Dual-Region Augmentation for Reduced Reliance on Large Amounts of Labeled DataCode0
Enhancing Explainability and Reliable Decision-Making in Particle Swarm Optimization through Communication Topologies—0
Uncertainty-Aware Trajectory Prediction via Rule-Regularized Heteroscedastic Deep ClassificationCode0
An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research—0
Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models—0
MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation—0
SLURG: Investigating the Feasibility of Generating Synthetic Online Fallacious Discourse—0
FedEPA: Enhancing Personalization and Modality Alignment in Multimodal Federated Learning—0
How Do I Do That? Synthesizing 3D Hand Motion and Contacts for Everyday Interactions—0
Voice Conversion with Diverse Intonation using Conditional Variational Auto-Encoder—0
Evaluating the Diversity and Quality of LLM Generated Content—0
Rethinking LLM-Based Recommendations: A Query Generation-Based, Training-Free Approach—0
Real-World Depth Recovery via Structure Uncertainty Modeling and Inaccurate GT Depth Fitting—0
Bridging the Semantic Gaps: Improving Medical VQA Consistency with LLM-Augmented Question Sets—0
Unravelling Technical debt topics through Time, Programming Languages and Repository—0
Diversity-Driven Learning: Tackling Spurious Correlations and Data Heterogeneity in Federated Models—0
Multi-Agent Reinforcement Learning for Decentralized Reservoir Management via Murmuration Intelligence—0
X-Teaming: Multi-Turn Jailbreaks and Defenses with Adaptive Multi-Agents—0
Large Language Model-Informed Feature Discovery Improves Prediction and Interpretation of Credibility Perceptions of Visual Content—0
Using LLMs as prompt modifier to avoid biases in AI image generators—0
Weight Ensembling Improves Reasoning in Language Models—0
Diversity Analysis for Indoor Terahertz Communication Systems under Small-Scale Fading—0
Diversity-Fair Online Selection—0
Relation-Rich Visual Document Generator for Visual Information ExtractionCode0
Can genomic analysis actually estimate past population size?—0
The Impact of Model Zoo Size and Composition on Weight Space LearningCode0
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