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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 1851–1900 of 9051 papers

TitleStatusHype
SaFARi: State-Space Models for Frame-Agnostic Representation—0
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines—0
Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study—0
Synthesizing Diverse Network Flow Datasets with Scalable Dynamic Multigraph Generation—0
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao—0
Revolutionising Bacterial Genomics: Graph-Based Strategies for Improved Variant Identification—0
Human Motion Prediction via Test-domain-aware Adaptation with Easily-available Human Motions Estimated from Videos—0
DialogueReason: Rule-Based RL Sparks Dialogue Reasoning in LLMs—0
Rigorous Evaluation of Predictive Toxicity Models by Multi-Objective Optimization of Reference Compound Lists Using Genetic Algorithms—0
Enhancing BERTopic with Intermediate Layer RepresentationsCode0
Bi-level Mean Field: Dynamic Grouping for Large-Scale MARL—0
Photovoltaic Defect Image Generator with Boundary Alignment Smoothing Constraint for Domain Shift Mitigation—0
Efficient Fairness Testing in Large Language Models: Prioritizing Metamorphic Relations for Bias Detection—0
Can Prompting LLMs Unlock Hate Speech Detection across Languages? A Zero-shot and Few-shot Study—0
Turbo-ICL: In-Context Learning-Based Turbo Equalization—0
Smart Starts: Accelerating Convergence through Uncommon Region ExplorationCode0
This part looks alike this: identifying important parts of explained instances and prototypesCode0
Canny2Palm: Realistic and Controllable Palmprint Generation for Large-scale Pre-training—0
Stochastic Variational Propagation: Local, Scalable and Efficient Alternative to Backpropagation—0
A Large Language Model for Feasible and Diverse Population Synthesis—0
User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book Recommendation—0
Device-Free Localization Using Multi-Link MIMO Channels in Distributed Antenna Networks—0
SToLa: Self-Adaptive Touch-Language Framework with Tactile Commonsense Reasoning in Open-Ended Scenarios—0
Bridging Geometry-Coherent Text-to-3D Generation with Multi-View Diffusion Priors and Gaussian Splatting—0
Modeling Musical Genre Trajectories through Pathlet LearningCode0
Synthline: A Product Line Approach for Synthetic Requirements Engineering Data Generation using Large Language ModelsCode0
STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation—0
Interpretable Learning Dynamics in Unsupervised Reinforcement Learning—0
Call for Action: towards the next generation of symbolic regression benchmark—0
Accelerating Evolution: Integrating PSO Principles into Real-Coded Genetic Algorithm Crossover—0
Pinching Antenna-enabled ISAC Systems: Exploiting Look-Angle Dependence of RCS for Target Diversity—0
Exploring the Role of Diversity in Example Selection for In-Context LearningCode0
Enhancing the Learning Experience: Using Vision-Language Models to Generate Questions for Educational VideosCode0
Synthesize-on-Graph: Knowledgeable Synthetic Data Generation for Continue Pre-training of Large Language Models—0
Deterministic-to-Stochastic Diverse Latent Feature Mapping for Human Motion Synthesis—0
Subset Selection for Fine-Tuning: A Utility-Diversity Balanced Approach for Mathematical Domain Adaptation—0
Fluctuating growth rates link turnover and unevenness in species-rich communities—0
Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction—0
Enriching the Korean Learner Corpus with Multi-reference Annotations and Rubric-Based Scoring—0
Rethinking Time Encoding via Learnable Transformation FunctionsCode0
Cooking Up Creativity: A Cognitively-Inspired Approach for Enhancing LLM Creativity through Structured RepresentationsCode0
Information Gravity: A Field-Theoretic Model for Token Selection in Large Language Models—0
JaccDiv: A Metric and Benchmark for Quantifying Diversity of Generated Marketing Text in the Music Industry—0
Clustering-Based Evolutionary Federated Multiobjective Optimization and Learning—0
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts—0
FedAvgen: Metadata for Model Aggregation In Communication Systems—0
Hierarchical Uncertainty-Aware Graph Neural Network—0
Accurate and Diverse LLM Mathematical Reasoning via Automated PRM-Guided GFlowNets—0
Fast and Robust: Task Sampling with Posterior and Diversity Synergies for Adaptive Decision-Makers in Randomized Environments—0
CLR-Wire: Towards Continuous Latent Representations for 3D Curve Wireframe GenerationCode0
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