Cover Image

Enhancing Diversity and Feasibility: Joint Population Synthesis from Multi-source Data Using Generative Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Abbasi, Farbod, Patterson, Zachary, Farooq, Bilal
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Mobility Behaviour of Immigrants in Canada: Analyzing Mode Choice Using GPS Panel Data and Mixed Logit Models
by: Alsaleh, Tareq, et al.
Published: (2026)

Towards Locally Deployable Fine-Tuned Causal Large Language Models for Mode Choice Behaviour
by: Alsaleh, Tareq, et al.
Published: (2025)

Mitigating Hallucinations Using Ensemble of Knowledge Graph and Vector Store in Large Language Models to Enhance Mental Health Support
by: Muqtadir, Abdul, et al.
Published: (2024)

Using Zero-Shot LLM-Generated Survey Data for Geographically Explicit Population Synthesis
by: Anderson, Taylor, et al.
Published: (2026)

Swarm-Gen: Fast Generation of Diverse Feasible Swarm Behaviors
by: Idoko, Simon, et al.
Published: (2025)

Quantum-Efficient Reinforcement Learning Solutions for Last-Mile On-Demand Delivery
by: Moosavi, Farzan, et al.
Published: (2025)

Fake News Detection: Comparative Evaluation of BERT-like Models and Large Language Models with Generative AI-Annotated Data
by: Raza, Shaina, et al.
Published: (2024)

Multi-task Code LLMs: Data Mix or Model Merge?
by: Zhu, Mingzhi, et al.
Published: (2026)

Inference-Time Diversity in RL-Trained Lean Theorem Provers: A Diagnostic Study
by: Burton, Zachary
Published: (2026)

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data
by: Salve, Aniruddha, et al.
Published: (2024)

Resonance of Uncharted Realms Beyond Conventional Bounds - AGI Findings
by: Patterson, Jake
Published: (2025)

Joint Flow Trajectory Optimization For Feasible Robot Motion Generation from Video Demonstrations
by: Dong, Xiaoxiang, et al.
Published: (2025)

ChemActor: Enhancing Automated Extraction of Chemical Synthesis Actions with LLM-Generated Data
by: Zhang, Yu, et al.
Published: (2025)

Blue Data Intelligence Layer: Streaming Data and Agents for Multi-source Multi-modal Data-Centric Applications
by: Aminnaseri, Moin, et al.
Published: (2026)

Multi-Modal Forecaster: Jointly Predicting Time Series and Textual Data
by: Kim, Kai, et al.
Published: (2024)

ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models
by: Pang, Wei, et al.
Published: (2024)

On the Feasibility of Using MultiModal LLMs to Execute AR Social Engineering Attacks
by: Bi, Ting, et al.
Published: (2025)

Multi-Sample Prompting and Actor-Critic Prompt Optimization for Diverse Synthetic Data Generation
by: El-Hajjami, Abdelkarim, et al.
Published: (2025)

Enhancing the Safety of Medical Vision-Language Models by Synthetic Demonstrations
by: Xue, Zhiyu, et al.
Published: (2025)

General Demographic Foundation Models for Enhancing Predictive Performance Across Diseases and Populations
by: Chen, Li-Chin, et al.
Published: (2025)

Beyond Pipelines: A Fundamental Study on the Rise of Generative-Retrieval Architectures in Web Research
by: Abbasi, Amirereza, et al.
Published: (2026)

In Silico Development of Psychometric Scales: Feasibility of Representative Population Data Simulation with LLMs
by: Cipriani, Enrico, et al.
Published: (2025)

Prompt Optimization Across Multiple Agents for Representing Diverse Human Populations
by: Nguyen, Manh Hung, et al.
Published: (2025)

Efficient Generation of Diverse Cooperative Agents with World Models
by: Loo, Yi, et al.
Published: (2025)

Exploring the Landscape for Generative Sequence Models for Specialized Data Synthesis
by: Zbeeb, Mohammad, et al.
Published: (2024)

Synthesizing Tabular Data Using Selectivity Enhanced Generative Adversarial Networks
by: Zhou, Youran, et al.
Published: (2025)

Self-Foveate: Enhancing Diversity and Difficulty of Synthesized Instructions from Unsupervised Text via Multi-Level Foveation
by: Li, Mingzhe, et al.
Published: (2025)

Multi-stage Attack Detection and Prediction Using Graph Neural Networks: An IoT Feasibility Study
by: Friji, Hamdi, et al.
Published: (2024)

Enhancing Monotonic Modeling with Spatio-Temporal Adaptive Awareness in Diverse Marketing
by: Li, Bin, et al.
Published: (2024)

Reinforcement Learning and Data-Generation for Syntax-Guided Synthesis
by: Parsert, Julian, et al.
Published: (2023)

Learning Sequential Kinematic Models from Demonstrations for Multi-Jointed Articulated Objects
by: Gupta, Anmol, et al.
Published: (2025)

A General Model for Deepfake Speech Detection: Diverse Bonafide Resources or Diverse AI-Based Generators
by: Pham, Lam, et al.
Published: (2026)

Avoidance Decoding for Diverse Multi-Branch Story Generation
by: Park, Kyeongman, et al.
Published: (2025)

Incrementally Learning Multiple Diverse Data Domains via Multi-Source Dynamic Expansion Model
by: Wu, Runqing, et al.
Published: (2025)

Learning to Generate All Feasible Actions
by: Theile, Mirco, et al.
Published: (2023)

From Feasible to Practical: Pareto-Optimal Synthesis Planning
by: Hastedt, Friedrich, et al.
Published: (2026)

JointDiT: Enhancing RGB-Depth Joint Modeling with Diffusion Transformers
by: Byung-Ki, Kwon, et al.
Published: (2025)

Harnessing Diversity for Important Data Selection in Pretraining Large Language Models
by: Zhang, Chi, et al.
Published: (2024)

Optimizing Electric Vehicle Charging Station Locations: A Data-driven System with Multi-source Fusion
by: Li, Lihuan, et al.
Published: (2025)

A Generalized Projected Bellman Error for Off-policy Value Estimation in Reinforcement Learning
by: Patterson, Andrew, et al.
Published: (2021)