Chen, Haotian

5 publications

TMLR 2025 Variational Stochastic Gradient Descent for Deep Neural Networks Anna Kuzina, Haotian Chen, Babak Esmaeili, Jakub M. Tomczak

ICLRW 2024 RD2Bench: Toward Data-Centric Automatic R&D Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian

AAAI 2024 Rethinking the Development of Large Language Models from the Causal Perspective: A Legal Text Prediction Case Study Haotian Chen, Lingwei Zhang, Yiran Liu, Yang Yu

ICMLW 2024 Variational Stochastic Gradient Descent for Deep Neural Networks Haotian Chen, Anna Kuzina, Babak Esmaeili, Jakub M. Tomczak

ECML-PKDD 2023 SALAS: Supervised Aspect Learning Improves Abstractive Multi-Document Summarization Through Aspect Information Loss Haotian Chen, Han Zhang, Houjing Guo, Shuchang Yi, Bingsheng Chen, Xiangdong Zhou