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20232026
most citedDo Large Language Models Mirror Cognitive Language Processing?

3 citations · 3 across the 5 of their papers we have counts for

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cs.CL2026

VALCON: Benchmarking and Enhancing Value Consistency in Large Language Models via Dual-Role Variation

Junru Wu, Jingting Zheng, Yuqi Ren +1

Current value alignment evaluations for large language models (LLMs) heavily rely on output compliance, overlooking whether LLMs maintain value consistency when alternating between…

cs.CL2026

ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language Models

Zhen Wang, Yuqi Ren, Yuehan Cui +7

Large Language Model (LLM) agents have demonstrated considerable potential for social simulation, yet struggle to accurately model individual value systems. Most existing methods m…

cs.CL2026

Pancasila-Dilemmas: Evaluating Large Language Models on Indonesian Human Value Dilemmas Grounded in Pancasila

Supryadi, Irfan, Julianti +4

The value alignment of large language models (LLMs) is crucial for ensuring responses align with human intention and value preferences. However, most evaluations of value alignment…

cs.AI2026

DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping

Pengyun Zhu, Yuqi Ren, Zhen Wang +2

Current Large Language Models (LLMs) typically rely on coarse-grained national labels for pluralistic value alignment. However, such macro-level supervision often obscures intra-co…

cs.CL2026

Finding the Translation Switch: Discovering and Exploiting the Task-Initiation Features in LLMs

Xinwei Wu, Heng Liu, Xiaohu Zhao +6

Large Language Models (LLMs) frequently exhibit strong translation abilities, even without task-specific fine-tuning. However, the internal mechanisms governing this innate capabil…