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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 1851–1875 of 9051 papers

TitleStatusHype
SaFARi: State-Space Models for Frame-Agnostic Representation—0
Revolutionising Bacterial Genomics: Graph-Based Strategies for Improved Variant Identification—0
Synthesizing Diverse Network Flow Datasets with Scalable Dynamic Multigraph Generation—0
Towards Multi-Agent Reasoning Systems for Collaborative Expertise Delegation: An Exploratory Design Study—0
Human Motion Prediction via Test-domain-aware Adaptation with Easily-available Human Motions Estimated from Videos—0
A Generative Re-ranking Model for List-level Multi-objective Optimization at Taobao—0
QUPID: Quantified Understanding for Enhanced Performance, Insights, and Decisions in Korean Search Engines—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
Turbo-ICL: In-Context Learning-Based Turbo Equalization—0
Photovoltaic Defect Image Generator with Boundary Alignment Smoothing Constraint for Domain Shift Mitigation—0
Can Prompting LLMs Unlock Hate Speech Detection across Languages? A Zero-shot and Few-shot Study—0
Efficient Fairness Testing in Large Language Models: Prioritizing Metamorphic Relations for Bias Detection—0
Stochastic Variational Propagation: Local, Scalable and Efficient Alternative to Backpropagation—0
Smart Starts: Accelerating Convergence through Uncommon Region ExplorationCode0
Canny2Palm: Realistic and Controllable Palmprint Generation for Large-scale Pre-training—0
This part looks alike this: identifying important parts of explained instances and prototypesCode0
User and Recommender Behavior Over Time: Contextualizing Activity, Effectiveness, Diversity, and Fairness in Book Recommendation—0
A Large Language Model for Feasible and Diverse Population Synthesis—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
Synthline: A Product Line Approach for Synthetic Requirements Engineering Data Generation using Large Language ModelsCode0
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