4 papers
Hierarchical Orthogonal Residual Spread for Precise Massive Editing in Large Language Models
Xiaojie Gu, Guangxu Chen, Yuheng Yang +2
Large language models (LLMs) exhibit exceptional performance across various domains, yet they face critical safety concerns. Model editing has emerged as an effective approach to m…
MoRAgent: Parameter Efficient Agent Tuning with Mixture-of-Roles
Jing Han, Binwei Yan, Tianyu Guo +4
Despite recent advancements of fine-tuning large language models (LLMs) to facilitate agent tasks, parameter-efficient fine-tuning (PEFT) methodologies for agent remain largely une…
LLM-Mirror: A Generated-Persona Approach for Survey Pre-Testing
Sunwoong Kim, Jongho Jeong, Jin Soo Han +1
Surveys are widely used in social sciences to understand human behavior, but their implementation often involves iterative adjustments that demand significant effort and resources.…
Static network structure cannot stabilize cooperation among Large Language Model agents
Jin Han, Balaraju Battu, Ivan RomiÄ +2
Large language models (LLMs) are increasingly used to model human social behavior, with recent research exploring their ability to simulate social dynamics. Here, we test whether L…