3 citations · 3 across the 5 of their papers we have counts for
8 papers
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…
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…
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…
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…
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…
From Curated Data to Scalable Models: Continual Pre-training of Dense and MoE Large Language Models for Tibetan
Lei Yang, Leiyu Pan, Bojian Xiong +14
Large language models (LLMs) have achieved remarkable success across a wide range of natural language processing tasks, yet their performance remains heavily biased toward high-res…
Do Large Language Models Mirror Cognitive Language Processing?
Yuqi Ren, Renren Jin, Tongxuan Zhang +1
Large Language Models (LLMs) have demonstrated remarkable abilities in text comprehension and logical reasoning, indicating that the text representations learned by LLMs can facili…
AI-driven emergence of frequency information non-uniform distribution via THz metasurface spectrum prediction
Xiaohua Xing, Yuqi Ren, Die Zou +6
Recently, artificial intelligence has been extensively deployed across various scientific disciplines, optimizing and guiding the progression of experiments through the integration…