Cover Image

PediaMind-R1: A Temperament-Aware Language Model for Personalized Early Childhood Care Reasoning via Cognitive Modeling and Preference Alignment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Zihe, Zhang, Can, Xu, Yanheng, Hu, Xin, Leng, Jichao
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Temperament in Early Childhood Is Associated With Gut Microbiota Composition and Diversity
by: Eriko Ueda, et al.
Published: (2024)

PediaBench: A Comprehensive Chinese Pediatric Dataset for Benchmarking Large Language Models
by: Zhang, Qian, et al.
Published: (2024)

Analyzing Cognitive Differences Among Large Language Models through the Lens of Social Worldview
by: Li, Jiatao, et al.
Published: (2025)

Tempering Temperament: Exploring the Influence of Maternal Mind‐Mindedness on Infant Temperament in Shaping Socioemotional Wellbeing
by: Allira Doyle, et al.
Published: (2025)

Temperament and Its Association With Oral Health‐Related Behaviors and Early Childhood Caries in Young Children
by: Chanita Tunyasonti, et al.
Published: (2025)

DocPedia: Unleashing the Power of Large Multimodal Model in the Frequency Domain for Versatile Document Understanding
by: Feng, Hao, et al.
Published: (2023)

Infant Temperament Is Associated With Milk Cortisol but Not With Maternal Childhood Trauma
by: Anna Apanasewicz, et al.
Published: (2024)

Preference Orchestrator: Prompt-Aware Multi-Objective Alignment for Large Language Models
by: Liu, Biao, et al.
Published: (2025)

Talking Minds: Group Gender Composition and Educators’ Mental State Language in Early Childhood Education and Care
by: Elizabeth Brook, et al.
Published: (2026)

Mind the Gap in Cultural Alignment: Task-Aware Culture Management for Large Language Models
by: Zhang, Binchi, et al.
Published: (2026)

Online Preference Alignment for Language Models via Count-based Exploration
by: Bai, Chenjia, et al.
Published: (2025)

FedPDPO: Federated Personalized Direct Preference Optimization for Large Language Model Alignment
by: Zhu, Kewen, et al.
Published: (2026)

A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
by: Xie, Zhouhang, et al.
Published: (2025)

Personality Alignment of Large Language Models
by: Zhu, Minjun, et al.
Published: (2024)

Reason4Rec: Large Language Models for Recommendation with Deliberative User Preference Alignment
by: Fang, Yi, et al.
Published: (2025)

TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy
by: Zhao, Weichao, et al.
Published: (2024)

Preference Alignment Improves Language Model-Based TTS
by: Tian, Jinchuan, et al.
Published: (2024)

Digital Personalization in Early Childhood
by: Kucirkova, Natalia
Published: (2022)

CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning
by: Yu, Huimu, et al.
Published: (2024)

On Diversified Preferences of Large Language Model Alignment
by: Zeng, Dun, et al.
Published: (2023)

Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment
by: Zhang, Yifan, et al.
Published: (2024)

Social Inequality in Early Childhood Development in China
by: Xin Li, et al.
Published: (2025)

Review-driven Personalized Preference Reasoning with Large Language Models for Recommendation
by: Kim, Jieyong, et al.
Published: (2024)

Not All Preferences Are Created Equal: Stability-Aware and Gradient-Efficient Alignment for Reasoning Models
by: Wu, Hui, et al.
Published: (2026)

Unveiling the Learning Mind of Language Models: A Cognitive Framework and Empirical Study
by: Hu, Zhengyu, et al.
Published: (2025)

Teaching Your Models to Understand Code via Focal Preference Alignment
by: Wu, Jie, et al.
Published: (2025)

Exchange of Perspective Prompting Enhances Reasoning in Large Language Models
by: Sun, Lin, et al.
Published: (2025)

World2Mind: Cognition Toolkit for Allocentric Spatial Reasoning in Foundation Models
by: Ruan, Shouwei, et al.
Published: (2026)

Vibrotactile Preference Learning: Uncertainty-Aware Preference Learning for Personalized Vibration Feedback
by: Zhang, Rongtao, et al.
Published: (2026)

Drive My Way: Preference Alignment of Vision-Language-Action Model for Personalized Driving
by: Wang, Zehao, et al.
Published: (2026)

AFSPP: Agent Framework for Shaping Preference and Personality with Large Language Models
by: He, Zihong, et al.
Published: (2024)

Debiasing Multimodal Large Language Models via Noise-Aware Preference Optimization
by: Zhang, Zefeng, et al.
Published: (2025)

Simulated Annealing Enhances Theory-of-Mind Reasoning in Autoregressive Language Models
by: Hu, Xucong, et al.
Published: (2026)

StoicLLM: Preference Optimization for Philosophical Alignment in Small Language Models
by: Khan, Ishmam, et al.
Published: (2026)

Constrained Reasoning Chains for Enhancing Theory-of-Mind in Large Language Models
by: Lin, Zizheng, et al.
Published: (2024)

PreferThinker: Reasoning-based Personalized Image Preference Assessment
by: Xu, Shengqi, et al.
Published: (2025)

Direct Alignment of Language Models via Quality-Aware Self-Refinement
by: Yu, Runsheng, et al.
Published: (2024)

UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models
by: Xu, Xin, et al.
Published: (2025)

Bridging Social Psychology and LLM Reasoning: Conflict-Aware Meta-Review Generation via Cognitive Alignment
by: Chen, Wei, et al.
Published: (2025)

Preference-Aware Rubric Learning for Personalized Evaluation
by: Qiu, Yilun, et al.
Published: (2026)