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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 3951–3975 of 9051 papers

TitleStatusHype
RPMixer: Shaking Up Time Series Forecasting with Random Projections for Large Spatial-Temporal Data—0
Exploring Precision and Recall to assess the quality and diversity of LLMsCode0
Improving Demonstration Diversity by Human-Free Fusing for Text-to-SQLCode0
Python is Not Always the Best Choice: Embracing Multilingual Program of ThoughtsCode0
Instruction Diversity Drives Generalization To Unseen Tasks—0
Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation—0
Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence—0
Symmetry-Breaking Augmentations for Ad Hoc Teamwork—0
How to Train Data-Efficient LLMs—0
Generating Diverse Translation with Perturbed kNN-MT—0
Cosmic radiation drives quasi-periodic changes in the diversity of siliceous marine microplankton—0
UMOEA/D: A Multiobjective Evolutionary Algorithm for Uniform Pareto Objectives based on Decomposition—0
DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning—0
MaxMin-RLHF: Alignment with Diverse Human Preferences—0
Discovering Sensorimotor Agency in Cellular Automata using Diversity SearchCode0
Dataset Clustering for Improved Offline Policy LearningCode0
One-shot Imitation in a Non-Stationary Environment via Multi-Modal Skill—0
Understanding fitness landscapes in morpho-evolution via local optima networks—0
Topic Modeling as Multi-Objective Contrastive Optimization—0
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model—0
Multi-Modal Emotion Recognition by Text, Speech and Video Using Pretrained Transformers—0
Beware of Words: Evaluating the Lexical Diversity of Conversational LLMs using ChatGPT as Case Study—0
SAIS: A Novel Bio-Inspired Artificial Immune System Based on Symbiotic ParadigmCode0
A two-stage algorithm in evolutionary product unit neural networks for classification—0
Towards a Systematic Approach to Design New Ensemble Learning AlgorithmsCode0
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