10 papers
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…
D2VBench: Benchmarking Large Language Models with Value Dilemmas in Daily Scenarios
Siyi Hao, Yidi Cao, Linhao Yu +2
With the wide application of large language models (LLMs) in real-world scenarios, the value implication of their outputs is crucial. However, existing evaluation benchmarks suffer…
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…
Beyond Value Benchmarks: Measuring Value-Structure Alignment in Large Language Models via Symmetric Q-Sorts
Jingting Zheng, Yuqi Ren, Linhao Yu +2
Large Language Models (LLMs) are increasingly deployed in contexts requiring complex moral reasoning and value trade-offs. However, existing evaluations typically rely on item-leve…
EvoSci: A Bio-Inspired Multi-Agent Framework for the Evolution of Scientific Discovery
Xiaoyu Xiong, Yuqi Ren, Deyi Xiong
Large language models (LLMs), have shown strong potential in scientific discovery, yet existing methods still face substantial challenges in the design of research workflows and mu…
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…