Song, Jialin

11 publications

ICML 2025 Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity Atefeh Sohrabizadeh, Jialin Song, Mingjie Liu, Rajarshi Roy, Chankyu Lee, Jonathan Raiman, Bryan Catanzaro

ICML 2025 PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs Mauricio Soroco, Jialin Song, Mengzhou Xia, Kye Emond, Weiran Sun, Wuyang Chen

ICLRW 2025 PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs Mauricio Soroco, Jialin Song, Mengzhou Xia, Kye Emond, Weiran Sun, Wuyang Chen

NeurIPS 2024 Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney

ICLRW 2024 Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney

NeurIPSW 2023 CircuitVAE: Efficient and Scalable Latent Circuit Optimization Jialin Song, Aidan Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro

ICML 2023 Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation Fengxue Zhang, Jialin Song, James C Bowden, Alexander Ladd, Yisong Yue, Thomas Desautels, Yuxin Chen

ICLR 2021 Learning to Make Decisions via Submodular Regularization Ayya Alieva, Aiden Aceves, Jialin Song, Stephen Mayo, Yisong Yue, Yuxin Chen

NeurIPS 2020 A General Large Neighborhood Search Framework for Solving Integer Linear Programs Jialin Song, Ravi Lanka, Yisong Yue, Bistra Dilkina

AISTATS 2019 A General Framework for Multi-Fidelity Bayesian Optimization with Gaussian Processes Jialin Song, Yuxin Chen, Yisong Yue

UAI 2019 Co-Training for Policy Learning Jialin Song, Ravi Lanka, Yisong Yue, Masahiro Ono