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cs.CL2026
An evidence-guided reinforcement learning method to improve psychiatric reasoning in small language models
Xinxin Lin, Guangxin Dai, Yi Zhong +25
Privacy and computational constraints limit the use of large language models in psychiatry, while adapting small language models (SLMs) often requires substantial data and expert a…
cs.CL2026
Mechanism-Faithful Queueing Simulation Model Translation with Large Language Model Support
Jun-Qi Chen, Kun Zhang, Rui Zheng +1
Queueing simulation studies often require substantial manual effort to translate conceptual system descriptions into executable programs and to verify that the implemented mechanis…