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cs.CL2026
On Reasoning Behind Next Occupation Recommendation
Shan Dong, Palakorn Achananuparp, Hieu Hien Mai +3
In this work, we develop a novel reasoning approach to enhance the performance of large language models (LLMs) in future occupation prediction. In this approach, a reason generator…
cs.CL2026
PersonaTrace: Synthesizing Realistic Digital Footprints with LLM Agents
Minjia Wang, Yunfeng Wang, Xiao Ma +9
Digital footprints (records of individuals' interactions with digital systems) are essential for studying behavior, developing personalized applications, and training machine learn…
cs.CL2023
LLM-Based Agent Society Investigation: Collaboration and Confrontation in Avalon Gameplay
Yihuai Lan, Zhiqiang Hu, Lei Wang +6
This paper explores the open research problem of understanding the social behaviors of LLM-based agents. Using Avalon as a testbed, we employ system prompts to guide LLM agents in…