Cover Image

Developmental trajectories of decision making and affective dynamics in large language models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Zhihao, Liu, Yiyang, Wang, Ting, Liu, Zhiyuan
Format:	Preprint
Published:	2025
Subjects:	Computers and Society Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A survey on fairness of large language models in e-commerce: progress, application, and challenge
by: Ren, Qingyang, et al.
Published: (2024)

Uncovering inequalities in new knowledge learning by large language models across different languages
by: Wang, Chenglong, et al.
Published: (2025)

Failure of contextual invariance in large language models
by: Kumar, Sagar, et al.
Published: (2026)

Training language models to be warm and empathetic makes them less reliable and more sycophantic
by: Ibrahim, Lujain, et al.
Published: (2025)

What can large language models do for sustainable food?
by: Thomas, Anna T., et al.
Published: (2025)

AI-AI Bias: large language models favor communications generated by large language models
by: Laurito, Walter, et al.
Published: (2024)

A closer look at how large language models trust humans: patterns and biases
by: Lerman, Valeria, et al.
Published: (2025)

Can adversarial attacks by large language models be attributed?
by: Cebrian, Manuel, et al.
Published: (2024)

Profiling learners' affective engagement: Emotion AI, intercultural pragmatics, and language learning
by: Godwin-Jones, Robert
Published: (2026)

Assessing the nature of large language models: A caution against anthropocentrism
by: Speed, Ann
Published: (2023)

A validity-guided workflow for robust large language model research in psychology
by: Lin, Zhicheng
Published: (2025)

Evidence of a log scaling law for political persuasion with large language models
by: Hackenburg, Kobi, et al.
Published: (2024)

Retrieval-augmented reasoning with lean language models
by: Chan, Ryan Sze-Yin, et al.
Published: (2025)

Do Chinese models speak Chinese languages?
by: Wen-Yi, Andrea W, et al.
Published: (2025)

Large language models in medicine: the potentials and pitfalls
by: Omiye, Jesutofunmi A., et al.
Published: (2023)

The opportunities and risks of large language models in mental health
by: Lawrence, Hannah R., et al.
Published: (2024)

Can a large language model be a gaslighter?
by: Li, Wei, et al.
Published: (2024)

The Imperfect Learner: Incorporating Developmental Trajectories in Memory-based Student Simulation
by: Liu, Zhengyuan, et al.
Published: (2025)

SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation
by: Liu, Xiaoze, et al.
Published: (2024)

Potential of large language model-powered nudges for promoting daily water and energy conservation
by: Li, Zonghan, et al.
Published: (2025)

Large language models can consistently generate high-quality content for election disinformation operations
by: Williams, Angus R., et al.
Published: (2024)

Large Language Models' Complicit Responses to Illicit Instructions across Socio-Legal Contexts
by: Wang, Xing, et al.
Published: (2025)

Human Decision-making is Susceptible to AI-driven Manipulation
by: Sabour, Sahand, et al.
Published: (2025)

PhDGPT: Introducing a psychometric and linguistic dataset about how large language models perceive graduate students and professors in psychology
by: De Duro, Edoardo Sebastiano, et al.
Published: (2024)

Redefining technology for indigenous languages
by: Fernandez-Sabido, Silvia, et al.
Published: (2025)

HIVMedQA: Benchmarking large language models for HIV medical decision support
by: Cardenal-Antolin, Gonzalo, et al.
Published: (2025)

PersLLM: A Personified Training Approach for Large Language Models
by: Zeng, Zheni, et al.
Published: (2024)

H-Neurons: On the Existence, Impact, and Origin of Hallucination-Associated Neurons in LLMs
by: Gao, Cheng, et al.
Published: (2025)

Meaning Is Not A Metric: Using LLMs to make cultural context legible at scale
by: Kommers, Cody, et al.
Published: (2025)

Can LLMs make trade-offs involving stipulated pain and pleasure states?
by: Keeling, Geoff, et al.
Published: (2024)

Preconditioned Test-Time Adaptation for Out-of-Distribution Debiasing in Narrative Generation
by: Shen, Hanwen, et al.
Published: (2026)

HumT DumT: Measuring and controlling human-like language in LLMs
by: Cheng, Myra, et al.
Published: (2025)

Dialect prejudice predicts AI decisions about people's character, employability, and criminality
by: Hofmann, Valentin, et al.
Published: (2024)

A Path Towards Legal Autonomy: An interoperable and explainable approach to extracting, transforming, loading and computing legal information using large language models, expert systems and Bayesian networks
by: Constant, Axel, et al.
Published: (2024)

Implicit assessment of language learning during practice as accurate as explicit testing
by: Hou, Jue, et al.
Published: (2024)

Post-training makes large language models less human-like
by: Binz, Marcel, et al.
Published: (2026)

Text Corpora as Concept Fields: Black-Box Hallucination and Novelty Measurement
by: Kersting, Nicholas S., et al.
Published: (2026)

Embedding Enhancement via Fine-Tuned Language Models for Learner-Item Cognitive Modeling
by: Liu, Yuanhao, et al.
Published: (2026)

Dissociating language and thought in large language models
by: Mahowald, Kyle, et al.
Published: (2023)

Psychometric Comparability of LLM-Based Digital Twins
by: Zhang, Yufei, et al.
Published: (2025)