ICLR

Teaching LLMs How to Learn with Contextual Fine-Tuning

Younwoo Choi, Muhammad Adil Asif, Ziwen Han, John Willes, Rahul G. Krishnan

机构 * University of Toronto（多伦多大学） ； Vector Institute（向量研究所） 纠错

Comments ICLR 2025

Towards Scalable Newborn Screening: Automated General Movement Assessment in Uncontrolled Settings

Daphné Chopard, Sonia Laguna, Kieran Chin-Cheong, Annika Dietz, Anna Badura, Sven Wellmann, Julia E. Vogt

机构 * ETH Zurich（苏黎世联邦理工学院） ； University of Zurich（苏黎世大学） ； University of Regensburg（莱茵河畔埃尔兰根大学） ； University Children’s Hospital（儿童医院） ； University Children’s Hospital Regensburg（埃尔兰根儿童医院） 纠错

Comments Paper at Proceedings of Machine Learning Research 298 1 22, 2025 Machine Learning for Healthcare. Iterations of previous versions accepted as oral and best paper award at ICLR 2025 Workshop on AI for Children and at the Findings track of the Machine Learning for Health (ML4H) symposium 2024

Journal ref Proceedings of Machine Learning Research 298 1-22, 2025 Machine Learning for Healthcare

Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson-Romberg Extrapolation

Marina Sheshukova, Denis Belomestny, Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov

机构 * HSE University（俄罗斯高等经济大学） ； Duisburg-Essen University（杜伊斯堡-埃森大学） ； CMAP, UMR 7641, Ecole Polytechnique（巴黎高等理工学院CMAP研究所） ； Mohamed Bin Zayed University of AI（马尔代夫人工智能大学） ； Skolkovo Institute of Science and Technology（斯克尔科沃科技研究院） ； Steklov Mathematical Institute of Russian Academy of Sciences（俄罗斯科学院斯克洛夫数学研究所） 纠错

Comments ICLR-2025, camera-ready version. Some typos and definitions of constants have been fixed in the appendix

DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search

Murong Yue, Wenlin Yao, Haitao Mi, Dian Yu, Ziyu Yao, Dong Yu

机构 * George Mason University（乔治·马歇尔大学） ； Tencent AI Lab（腾讯AI实验室） 纠错

Comments Accepted to ICLR 2025