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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 1–50 of 9051 papers

TitleStatusHype
Visual Place Recognition for Large-Scale UAV Applications—0
Synthesizing Reality: Leveraging the Generative AI-Powered Platform Midjourney for Construction Worker Detection—0
GEMMAS: Graph-based Evaluation Metrics for Multi Agent Systems—0
Adversarial attacks to image classification systems using evolutionary algorithms—0
Multi-population GAN Training: Analyzing Co-Evolutionary Algorithms—0
Learning What Matters: Probabilistic Task Selection via Mutual Information for Model Finetuning—0
Sparse Regression Codes exploit Multi-User Diversity without CSI—0
Mixture of Experts in Large Language Models—0
Step-wise Policy for Rare-tool Knowledge (SPaRK): Offline RL that Drives Diverse Tool Use in LLMsCode0
Turning the Tide: Repository-based Code Reflection—0
Exploring Design of Multi-Agent LLM Dialogues for Research IdeationCode1
A Survey on Long-Video Storytelling Generation: Architectures, Consistency, and Cinematic Quality—0
MS-DPPs: Multi-Source Determinantal Point Processes for Contextual Diversity Refinement of Composite Attributes in Text to Image RetrievalCode0
Prompt-Free Conditional Diffusion for Multi-object Image AugmentationCode1
AdaptaGen: Domain-Specific Image Generation through Hierarchical Semantic Optimization Framework—0
Is Diversity All You Need for Scalable Robotic Manipulation?Code7
MEDTalk: Multimodal Controlled 3D Facial Animation with Dynamic Emotions by Disentangled Embedding—0
LumiCRS: Asymmetric Contrastive Prototype Learning for Long-Tail Conversational Movie Recommendation—0
CTR-Guided Generative Query Suggestion in Conversational Search—0
Lost in Latent Space: An Empirical Study of Latent Diffusion Models for Physics EmulationCode2
3D Shape Generation: A Survey—0
Advancements and Challenges in Continual Reinforcement Learning: A Comprehensive Review—0
Efficient Skill Discovery via Regret-Aware Optimization—0
OmniEval: A Benchmark for Evaluating Omni-modal Models with Visual, Auditory, and Textual Inputs—0
From On-chain to Macro: Assessing the Importance of Data Source Diversity in Cryptocurrency Market ForecastingCode0
A Hierarchical Deep Learning Approach for Minority Instrument DetectionCode0
How Good Are Synthetic Requirements ? Evaluating LLM-Generated Datasets for AI4RECode0
Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study—0
Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning—0
Cross-Layer Discrete Concept Discovery for Interpreting Language Models—0
What Matters in LLM-generated Data: Diversity and Its Effect on Model Fine-Tuning—0
Benchmarking histopathology foundation models in a multi-center dataset for skin cancer subtypingCode0
AdapThink: Adaptive Thinking Preferences for Reasoning Language Model—0
Statistical Multicriteria Evaluation of LLM-Generated TextCode0
PlanMoGPT: Flow-Enhanced Progressive Planning for Text to Motion Synthesis—0
Rethinking Ecological Measures Of Functional Diversity—0
Perceptual Rationality: An Evolutionary Game Theory of Perceptually Rational Decision-Making—0
MemBench: Towards More Comprehensive Evaluation on the Memory of LLM-based AgentsCode2
Beyond Blur: A Fluid Perspective on Generative Diffusion Models—0
Dex1B: Learning with 1B Demonstrations for Dexterous Manipulation—0
AI's Blind Spots: Geographic Knowledge and Diversity Deficit in Generated Urban Scenario—0
State-Space Models in Efficient Whispered and Multi-dialect Speech Recognition—0
Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving—0
Automatic Speech Recognition Biases in Newcastle English: an Error Analysis—0
Active Learning-Guided Seq2Seq Variational Autoencoder for Multi-target Inhibitor Generation—0
Structured and Informed Probabilistic Modeling with the Thermodynamic Kolmogorov-Arnold ModelCode0
M2BeamLLM: Multimodal Sensing-empowered mmWave Beam Prediction with Large Language Models—0
orGAN: A Synthetic Data Augmentation Pipeline for Simultaneous Generation of Surgical Images and Ground Truth Labels—0
AlphaDecay: Module-wise Weight Decay for Heavy-Tailed Balancing in LLMsCode0
Mitigating Safety Fallback in Editing-based Backdoor Injection on LLMsCode0
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