1 citations · 2 across the 10 of their papers we have counts for
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ValuePilot: A Two-Phase Framework for Value-Driven Decision-Making
Yitong Luo, Ziang Chen, Hou Hei Lam +4
Personalized decision-making is essential for human-AI interaction, enabling AI agents to act in alignment with individual users' value preferences. As AI systems expand into real-…
ValuePilot: A Two-Phase Framework for Value-Driven Decision-Making
Yitong Luo, Hou Hei Lam, Ziang Chen +2
Despite recent advances in artificial intelligence (AI), it poses challenges to ensure personalized decision-making in tasks that are not considered in training datasets. To addres…
Evaluating and Modeling Social Intelligence: A Comparative Study of Human and AI Capabilities
Junqi Wang, Chunhui Zhang, Jiapeng Li +6
Facing the current debate on whether Large Language Models (LLMs) attain near-human intelligence levels (Mitchell & Krakauer, 2023; Bubeck et al., 2023; Kosinski, 2023; Shiffrin &…
CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents
Siyuan Qi, Shuo Chen, Yexin Li +11
The generalization of decision-making agents encompasses two fundamental elements: learning from past experiences and reasoning in novel contexts. However, the predominant emphasis…