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cs.AI2026

Architectural Implications of Agentic AI Workflows

Jirong Yang, Peizhe Liu, Chaojie Zhang +1

Agentic AI is emerging in datacenters, but its architectural implications remain unexplored. We organize agentic workflows in a taxonomy and present its first architectural charact…

cs.AI2026

LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads?

Kaijian Zou, Aaron Xiong, Yunxiang Zhang +6

Competitive programming problems are increasingly used to evaluate the coding capabilities of large language models (LLMs) due to their complexity and ease of verification. Yet, cu…

cs.AI2026

Agents' Last Exam

Yiyou Sun, Xinyang Han, Weichen Zhang +306

Recent AI systems have achieved strong results on a wide range of benchmarks, yet these gains have not translated into economically meaningful deployment across many professional d…

cs.AI2025

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…

cs.AI2025

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…