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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 676–700 of 9051 papers

TitleStatusHype
InsBank: Evolving Instruction Subset for Ongoing AlignmentCode0
Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AI—0
Diversity-Oriented Data Augmentation with Large Language Models—0
Demographic Attributes Prediction from Speech Using WavLM Embeddings—0
Energy-Conscious LLM Decoding: Impact of Text Generation Strategies on GPU Energy Consumption—0
FairDiverse: A Comprehensive Toolkit for Fair and Diverse Information Retrieval AlgorithmsCode1
Leave No One Behind: Enhancing Diversity While Maintaining Accuracy in Social RecommendationCode0
Attention Mechanism for LLM-based Agents Dynamic Diffusion under Information Asymmetry—0
Vendi-RAG: Adaptively Trading-Off Diversity And Quality Significantly Improves Retrieval Augmented Generation With LLMs—0
The Shrinking Landscape of Linguistic Diversity in the Age of Large Language ModelsCode0
Diversified Sampling Improves Scaling LLM inference—0
VarGes: Improving Variation in Co-Speech 3D Gesture Generation via StyleCLIPSCode0
Is Depth All You Need? An Exploration of Iterative Reasoning in LLMsCode0
The Vendiscope: An Algorithmic Microscope For Data Collections—0
To Bin or not to Bin: Alternative Representations of Mass Spectra—0
FuncGenFoil: Airfoil Generation and Editing Model in Function SpaceCode0
Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation—0
Expert-Agnostic Learning to Defer—0
Enhancing Age-Related Robustness in Children Speaker Verification—0
Diversity Enhances an LLM's Performance in RAG and Long-context Task—0
Matina: A Large-Scale 73B Token Persian Text Corpus—0
Communication is All You Need: Persuasion Dataset Construction via Multi-LLM Communication—0
Inverse problems with experiment-guided AlphaFold—0
When and How Does CLIP Enable Domain and Compositional Generalization?—0
Diffusion Models for Molecules: A Survey of Methods and TasksCode2
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