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cs.CL2025
LLM Microscope: What Model Internals Reveal About Answer Correctness and Context Utilization
Jiarui Liu, Jivitesh Jain, Mona Diab +1
Although large language models (LLMs) have tremendous utility, trustworthiness is still a chief concern: models often generate incorrect information with high confidence. While con…
cs.CL2025
Humanizing Machines: Rethinking LLM Anthropomorphism Through a Multi-Level Framework of Design
Yunze Xiao, Lynnette Hui Xian Ng, Jiarui Liu +1
Large Language Models (LLMs) increasingly exhibit \textbf{anthropomorphism} characteristics -- human-like qualities portrayed across their outlook, language, behavior, and reasonin…
cs.CL2025
Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion Dynamics
Jiarui Liu, Yueqi Song, Yunze Xiao +5
As large language models (LLMs) are increasingly used in morally sensitive domains, it is crucial to understand how persona traits affect their moral reasoning and persuasive behav…