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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

Showing 43764400 of 9051 papers

TitleStatusHype
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions0
DIBS: Enhancing Dense Video Captioning with Unlabeled Videos via Pseudo Boundary Enrichment and Online Refinement0
2D Human Pose Estimation: New Benchmark and State of the Art Analysis0
DIANES: A DEI Audit Toolkit for News Sources0
DFM: Dialogue Foundation Model for Universal Large-Scale Dialogue-Oriented Task Learning0
An Approach to the Analysis of the South Slavic Medieval Labels Using Image Texture0
Incorporating LLMs for Large-Scale Urban Complex Mobility Simulation0
DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation0
An Approach for Self-Training Audio Event Detectors Using Web Data0
DialogueReason: Rule-Based RL Sparks Dialogue Reasoning in LLMs0
Benchmarking state-of-the-art gradient boosting algorithms for classification0
Addressing Challenges in Data Quality and Model Generalization for Malaria Detection0
Incorporating Dialectal Variability for Socially Equitable Language Identification0
Increasing Data Diversity with Iterative Sampling to Improve Performance0
Incremental Multi-graph Matching via Diversity and Randomness based Graph Clustering0
Dialogue Language Model with Large-Scale Persona Data Engineering0
An analytically tractable model for community ecology with many species0
Additive Frequency Diverse Active Incoherent Millimeter-Wave Imaging0
Dialect Transfer for Swiss German Speech Translation0
Dialect-Specific Models for Automatic Speech Recognition of African American Vernacular English0
Benchmarking Quality-Diversity Algorithms on Neuroevolution for Reinforcement Learning0
Dialect Diversity in Text Summarization on Twitter0
Benchmarking the Performance of Pre-trained LLMs across Urdu NLP Tasks0
An Analysis of the Preferences of Distribution Indicators in Evolutionary Multi-Objective Optimization0
Inclusivity in Large Language Models: Personality Traits and Gender Bias in Scientific Abstracts0
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