4 papers
Aligning LLM agents with human learning and adjustment behavior: a dual agent approach
Tianming Liu, Jirong Yang, Yafeng Yin +3
Effective modeling of how human travelers learn and adjust their travel behavior from interacting with transportation systems is critical for system assessment and planning. Howeve…
Mozart: A Chiplet Ecosystem-Accelerator Codesign Framework for Composable Bespoke Application Specific Integrated Circuits
Haoran Jin, Jirong Yang, Yunpeng Liu +3
Modern AI acceleration faces a fundamental challenge: conventional assumptions about memory requirements, batching effectiveness, and latency-throughput tradeoffs are systemwide ge…
LLM-ABM for Transportation: Assessing the Potential of LLM Agents in System Analysis
Tianming Liu, Jirong Yang, Yafeng Yin
Agent-based modeling approaches represent the state-of-art in modeling travel demand and transportation system dynamics and are valuable tools for transportation planning. However,…
Toward LLM-Agent-Based Modeling of Transportation Systems: A Conceptual Framework
Tianming Liu, Jirong Yang, Yafeng Yin
In transportation system demand modeling and simulation, agent-based models and microsimulations are current state-of-the-art approaches. However, existing agent-based models still…