Georgia Institute of Technology（佐治亚理工学院）

Fine-Tuning Large Audio-Language Models with LoRA for Precise Temporal Localization of Prolonged Exposure Therapy Elements

通过LoRA微调大音频-语言模型实现精确的延长暴露疗法元素时间定位

Suhas BN, Andrew M. Sherrill, Jyoti Alaparthi, Dominik Mattioli, Rosa I. Arriaga, Chris W. Wiese, Saeed Abdullah

机构 * 1College of Information Sciences \& Technology, The Pennsylvania State University, USA 2Department of Psychiatry \& Behavioral Sciences, Emory University, USA 3School of Interactive Computing, Georgia Institute of Technology, USA 4School of Psychology, Georgia Institute of Technology, USA 纠错

AI总结 通过LoRA微调大音频-语言模型，实现对延长暴露疗法关键元素的精确时间定位，提升治疗师忠实性评估的效率和准确性。

Comments 5 pages, 2 figures

Accelerating Hybrid Model Predictive Control using Warm-Started Generalized Benders Decomposition

利用预热的广义邦德斯分解加速混合模型预测控制

Xuan Lin

机构 * Independent Researcher（独立研究者） ； Department of Mechanical Engineering, University of California, Los Angeles（加州大学洛杉矶分校机械工程系） ； School of Mechanical Engineering, Georgia Institute of Technology（佐治亚理工学院机械工程学院） 纠错

AI总结 本文提出一种基于广义邦德斯分解的混合MPC算法，通过预热切割平面提升求解速度，适用于机器人控制任务。

Comments Significantly revised to emphasize theoretical bounds. The heuristic Master Problem algorithm and GCS tightening experiments are preserved in v1