Summary of A Simulation-free Deep Learning Approach to Stochastic Optimal Control, by Mengjian Hua et al.
A Simulation-Free Deep Learning Approach to Stochastic Optimal Controlby Mengjian Hua, Matthieu Laurière, Eric Vanden-EijndenFirst…
A Simulation-Free Deep Learning Approach to Stochastic Optimal Controlby Mengjian Hua, Matthieu Laurière, Eric Vanden-EijndenFirst…
Cookbook: A framework for improving LLM generative abilities via programmatic data generating templatesby Avanika Narayan,…
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HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuningby Ayano Hiranaka, Shang-Fu Chen, Chieh-Hsin…
Improving Image Clustering with Artifacts Attenuation via Inference-Time Attention Engineeringby Kazumoto Nakamura, Yuji Nozawa, Yu-Chieh…
Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuningby Qingyu Yin, Xuzheng He,…
Rule-based Data Selection for Large Language Modelsby Xiaomin Li, Mingye Gao, Zhiwei Zhang, Chang Yue,…
Leveraging Large Language Models for Suicide Detection on Social Media with Limited Labelsby Vy Nguyen,…
VideoGuide: Improving Video Diffusion Models without Training Through a Teacher’s Guideby Dohun Lee, Bryan S…