papers
Publications (3)
cs.CV2024
DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experiences
Yidong Huang, Jacob Sansom, Ziqiao Ma +2
Recent advancements in foundation models (FMs) have unlocked new prospects in autonomous driving, yet the experimental settings of these studies are preliminary, over-simplified, a…
cs.CL2024
Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models
Ziqiao Ma, Jacob Sansom, Run Peng +1
Large Language Models (LLMs) have generated considerable interest and debate regarding their potential emergence of Theory of Mind (ToM). Several recent inquiries reveal a lack of…
cs.CL2024
Interactive and Expressive Code-Augmented Planning with Large Language Models
Anthony Z. Liu, Xinhe Wang, Jacob Sansom +5
Large Language Models (LLMs) demonstrate strong abilities in common-sense reasoning and interactive decision-making, but often struggle with complex, long-horizon planning tasks. R…