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cs.AI2026
In LLM Reasoning, there is Irrationality on top of Value Misalignment
Kejiang Qian, Fengxiang He
Significant progress has been made in aligning LLMs with target value functions. We argue that, even when an LLM has been well aligned in (post-)training, it may still fail to maxi…
cs.AI2023★ 6 cited
AI Agent as Urban Planner: Steering Stakeholder Dynamics in Urban Planning via Consensus-based Multi-Agent Reinforcement Learning
Kejiang Qian, Lingjun Mao, Xin Liang +5
In urban planning, land use readjustment plays a pivotal role in aligning land use configurations with the current demands for sustainable urban development. However, present-day u…