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cs.AI2026
Empirical Grounding Improves the Realism of LLM Agents Simulating Human Behavior During Disruptions
Chen Xia, Zexi Kuang, Yuqing Hu
Large language model (LLM) agents offer a generative approach to simulating human behavior under conditions that may have few or no direct historical analogues, a common challenge…
cs.CE2026
Matching-with-Contracts for the AI-RAN Market: AIGC-as-a-Service for Teleoperation
Zijun Zhan, Yaxian Dong, Daniel Mawunyo Doe +3
Artificial intelligence radio access networks (AI-RANs) are a promising architecture for bolstering the prosperity of the edge AI ecosystem. A well-designed incentive mechanism can…