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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 2051–2075 of 9051 papers

TitleStatusHype
Evaluating Visual and Cultural Interpretation: The K-Viscuit Benchmark with Human-VLM Collaboration—0
Towards Comprehensive Preference Data Collection for Reward Modeling—0
Learning k-Determinantal Point Processes for Personalized Ranking—0
Meta-FL: A Novel Meta-Learning Framework for Optimizing Heterogeneous Model Aggregation in Federated Learning—0
Pose-dIVE: Pose-Diversified Augmentation with Diffusion Model for Person Re-Identification—0
video-SALMONN: Speech-Enhanced Audio-Visual Large Language ModelsCode0
DEM: Distribution Edited Model for Training with Mixed Data Distributions—0
Unseen Object Reasoning with Shared Appearance CuesCode0
InternLM-Law: An Open Source Chinese Legal Large Language ModelCode1
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based RecommendationCode1
Evaluating Diversity in Automatic Poetry GenerationCode0
STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionalsCode1
PARIKSHA: A Large-Scale Investigation of Human-LLM Evaluator Agreement on Multilingual and Multi-Cultural Data—0
SciDMT: A Large-Scale Corpus for Detecting Scientific Mentions—0
Voice Disorder Analysis: a Transformer-based ApproachCode1
Visible-Thermal Tiny Object Detection: A Benchmark Dataset and BaselinesCode3
Complexity of Symbolic Representation in Working Memory of Transformer Correlates with the Complexity of a Task—0
Advancing Fine-Grained Classification by Structure and Subject Preserving AugmentationCode1
Mitigating the Human-Robot Domain Discrepancy in Visual Pre-training for Robotic Manipulation—0
Benchmarking Monocular 3D Dog Pose Estimation Using In-The-Wild Motion Capture Data—0
Data Collection and Labeling Techniques for Machine Learning—0
Analyzing Diversity in Healthcare LLM Research: A Scientometric Perspective—0
A Resource-Adaptive Approach for Federated Learning under Resource-Constrained Environments—0
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone DesignCode2
Open Generative Large Language Models for Galician—0
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