3 papers
cs.CL2026
Effort as Ceiling, Not Dial: Reasoning Budget Does Not Modulate Cognitive Cost Alignment Between Humans and Large Reasoning Models
Yueqing Hu, Tianhong Wang
Large Reasoning Models (LRMs) generate chain-of-thought traces whose length tracks human reaction times across cognitive tasks, but recent debate questions whether this alignment r…
cs.CL2026
Hán DÄn Xué Bù (Mimicry) or QÄ«ng ChÅ« Yú Lán (Mastery)? A Cognitive Perspective on Reasoning Distillation in Large Language Models
Yueqing Hu, Xinyang Peng, Shuting Peng +2
Recent Large Reasoning Models trained via reinforcement learning exhibit a "natural" alignment with human cognitive costs. However, we show that the prevailing paradigm of reasonin…
physics.soc-ph2026
Social Catalysts, Not Moral Agents: The Illusion of Alignment in LLM Societies
Yueqing Hu, Yixuan Jiang, Zehua Jiang +2
The rapid evolution of Large Language Models (LLMs) has led to the emergence of Multi-Agent Systems where collective cooperation is often threatened by the "Tragedy of the Commons.…