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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 1351–1400 of 9051 papers

TitleStatusHype
Bench4Merge: A Comprehensive Benchmark for Merging in Realistic Dense Traffic with Micro-Interactive VehiclesCode0
Tighter Performance Theory of FedExProx—0
LAC: Graph Contrastive Learning with Learnable Augmentation in Continuous Space—0
Who is Undercover? Guiding LLMs to Explore Multi-Perspective Team Tactic in the Game—0
Synthetic Data Generation for Residential Load Patterns via Recurrent GAN and Ensemble Method—0
CAST: Corpus-Aware Self-similarity Enhanced Topic modelling—0
On the Diversity of Synthetic Data and its Impact on Training Large Language Models—0
Theoretical Aspects of Bias and Diversity in Minimum Bayes Risk DecodingCode0
mHumanEval -- A Multilingual Benchmark to Evaluate Large Language Models for Code GenerationCode0
An Electoral Approach to Diversify LLM-based Multi-Agent Collective Decision-MakingCode0
LangGFM: A Large Language Model Alone Can be a Powerful Graph Foundation Model—0
Distribution-Aware Compensation Design for Sustainable Data Rights in Machine Learning—0
GDPO: Learning to Directly Align Language Models with Diversity Using GFlowNets—0
SYNOSIS: Image synthesis pipeline for machine vision in metal surface inspection—0
Compression using Discrete Multi-Level Divisor Transform for Heterogeneous Sensor Data—0
MetaAlign: Align Large Language Models with Diverse Preferences during Inference TimeCode0
Soft-Label Integration for Robust Toxicity ClassificationCode0
DFlow: Diverse Dialogue Flow Simulation with Large Language Models—0
Measuring Diversity: Axioms and Challenges—0
SwaQuAD-24: QA Benchmark Dataset in Swahili—0
Nova: An Iterative Planning and Search Approach to Enhance Novelty and Diversity of LLM Generated Ideas—0
How Does Data Diversity Shape the Weight Landscape of Neural Networks?—0
LEAD: Latent Realignment for Human Motion Diffusion—0
CFTS-GAN: Continual Few-Shot Teacher Student for Generative Adversarial Networks—0
FaceSaliencyAug: Mitigating Geographic, Gender and Stereotypical Biases via Saliency-Based Data Augmentation—0
Improving the Estimation of Attenuation in Q/V Band Systems with a Kalman-Based Scintillation Filter—0
PUMA: Empowering Unified MLLM with Multi-granular Visual GenerationCode2
Instruction-Driven Game Engine: A Poker Case Study—0
CLaMP 2: Multimodal Music Information Retrieval Across 101 Languages Using Large Language ModelsCode2
FaithBench: A Diverse Hallucination Benchmark for Summarization by Modern LLMsCode1
Unlocking the Capabilities of Masked Generative Models for Image Synthesis via Self-GuidanceCode1
The Disparate Benefits of Deep EnsemblesCode0
Mitigating Biases to Embrace Diversity: A Comprehensive Annotation Benchmark for Toxic Language—0
360U-Former: HDR Illumination Estimation with Panoramic Adapted Vision Transformers—0
An Active Learning Framework for Inclusive Generation by Large Language Models—0
SiamSeg: Self-Training with Contrastive Learning for Unsupervised Domain Adaptation Semantic Segmentation in Remote SensingCode1
ERVQ: Enhanced Residual Vector Quantization with Intra-and-Inter-Codebook Optimization for Neural Audio Codecs—0
Characterizing Model Collapse in Large Language Models Using Semantic Networks and Next-Token Probability—0
CoFE-RAG: A Comprehensive Full-chain Evaluation Framework for Retrieval-Augmented Generation with Enhanced Data DiversityCode1
Multi-trait User Simulation with Adaptive Decoding for Conversational Task AssistantsCode0
Expanding Chatbot Knowledge in Customer Service: Context-Aware Similar Question Generation Using Large Language Models—0
The Best of Both Worlds: Bridging Quality and Diversity in Data Selection with Bipartite Graph—0
Using Protected Attributes to Consider Fairness in Multi-Agent Systems—0
FaceChain-FACT: Face Adapter with Decoupled Training for Identity-preserved Personalization—0
Preference Optimization with Multi-Sample Comparisons—0
Feature Augmentation for Self-supervised Contrastive Learning: A Closer Look—0
Improving the Generalization of Unseen Crowd Behaviors for Reinforcement Learning based Local Motion Planners—0
DiffGAN: A Test Generation Approach for Differential Testing of Deep Neural Networks—0
Reading Yule in light of the history and present of macroevolution—0
DDIL: Diversity Enhancing Diffusion Distillation With Imitation Learning—0
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