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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 2101–2150 of 9051 papers

TitleStatusHype
Enhancing NLP Robustness and Generalization through LLM-Generated Contrast Sets: A Scalable Framework for Systematic Evaluation and Adversarial Training—0
Single Domain Generalization with Adversarial Memory—0
Dynamically evolving segment anything model with continuous learning for medical image segmentation—0
Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving—0
CoinRobot: Generalized End-to-end Robotic Learning for Physical Intelligence—0
Multi-Task Reinforcement Learning Enables Parameter Scaling—0
Accelerating Earth Science Discovery via Multi-Agent LLM Systems—0
Collaborative Evaluation of Deepfake Text with Deliberation-Enhancing Dialogue Systems—0
CoFinDiff: Controllable Financial Diffusion Model for Time Series Generation—0
Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search—0
Probabilistic Insights for Efficient Exploration Strategies in Reinforcement Learning—0
Preserving Cultural Identity with Context-Aware Translation Through Multi-Agent AI SystemsCode0
PAIR: A Novel Large Language Model-Guided Selection Strategy for Evolutionary AlgorithmsCode0
Enhancing Collective Intelligence in Large Language Models Through Emotional Integration—0
Controllable Motion Generation via Diffusion Modal CouplingCode0
DriveGen: Towards Infinite Diverse Traffic Scenarios with Large Models—0
ExpertGenQA: Open-ended QA generation in Specialized Domains—0
Exploring Token-Level Augmentation in Vision Transformer for Semi-Supervised Semantic SegmentationCode0
Federated Learning Meets Fluid Antenna: Towards Robust and Scalable Edge Intelligence—0
SampleMix: A Sample-wise Pre-training Data Mixing Strategey by Coordinating Data Quality and Diversity—0
Hypergraph Foundation Model—0
Group Relative Policy Optimization for Image CaptioningCode0
Enhancing Retinal Vessel Segmentation Generalization via Layout-Aware Generative Modelling—0
HI-Series Algorithms A Hybrid of Substance Diffusion Algorithm and Collaborative Filtering—0
Diversity Covariance-Aware Prompt Learning for Vision-Language Models—0
How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code—0
DUAL: Diversity and Uncertainty Active Learning for Text SummarizationCode0
AILS-NTUA at SemEval-2025 Task 8: Language-to-Code prompting and Error Fixing for Tabular Question AnsweringCode0
Embracing Diversity: A Multi-Perspective Approach with Soft Labels—0
Jointly Understand Your Command and Intention:Reciprocal Co-Evolution between Scene-Aware 3D Human Motion Synthesis and Analysis—0
Autoencoder-Based Framework to Capture Vocabulary Quality in NLP—0
Supporting the development of Machine Learning for fundamental science in a federated Cloud with the AI_INFN platform—0
Innovation-exnovation dynamics on trees and trusses—0
Modeling cell differentiation in neuroblastoma: insights into development, malignancy, and treatment relapse—0
ADAGE: Active Defenses Against GNN Extraction—0
RURANET++: An Unsupervised Learning Method for Diabetic Macular Edema Based on SCSE Attention Mechanisms and Dynamic Multi-Projection Head Clustering—0
Identifiable Multi-View Causal Discovery Without Non-Gaussianity—0
Revisiting Self-Consistency from Dynamic Distributional Alignment Perspective on Answer Aggregation—0
LIVS: A Pluralistic Alignment Dataset for Inclusive Public Spaces—0
DiffCSS: Diverse and Expressive Conversational Speech Synthesis with Diffusion Models—0
UIFace: Unleashing Inherent Model Capabilities to Enhance Intra-Class Diversity in Synthetic Face Recognition—0
Low-Confidence Gold: Refining Low-Confidence Samples for Efficient Instruction Tuning—0
Where Are We? Evaluating LLM Performance on African Languages—0
IndicEval-XL: Bridging Linguistic Diversity in Code Generation Across Indic LanguagesCode0
EnDive: A Cross-Dialect Benchmark for Fairness and Performance in Large Language Models—0
MPO: An Efficient Post-Processing Framework for Mixing Diverse Preference Alignment—0
Effect of Gender Fair Job Description on Generative AI Images—0
SMT(LIA) Sampling with High Diversity—0
AIRIS2 : a Smart Gateway Diversity Algorithm for Very High-Throughput Satellite Systems—0
UrduLLaMA 1.0: Dataset Curation, Preprocessing, and Evaluation in Low-Resource Settings—0
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