Gerstein, Mark

10 publications

ICLR 2025 ChemAgent: Self-Updating Memories in Large Language Models Improves Chemical Reasoning Xiangru Tang, Tianyu Hu, Muyang Ye, Yanjun Shao, Xunjian Yin, Siru Ouyang, Wangchunshu Zhou, Pan Lu, Zhuosheng Zhang, Yilun Zhao, Arman Cohan, Mark Gerstein
NeurIPS 2025 E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products Yunyang Li, Lin Huang, Zhihao Ding, Xinran Wei, Chu Wang, Han Yang, Zun Wang, Chang Liu, Yu Shi, Peiran Jin, Tao Qin, Mark Gerstein, Jia Zhang
ICLR 2025 Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems Yunyang Li, Zaishuo Xia, Lin Huang, Xinran Wei, Samuel Harshe, Han Yang, Erpai Luo, Zun Wang, Jia Zhang, Chang Liu, Bin Shao, Mark Gerstein
ICLRW 2025 ML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code Xiangru Tang, Yuliang Liu, Zefan Cai, Daniel Shao, Junjie Lu, Yichi Zhang, Zexuan Deng, Helan Hu, Kaikai An, Ruijun Huang, Shuzheng Si, Chen Sheng, Haozhe Zhao, Liang Chen, Tianyu Liu, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Zhiwei Jiang, Baobao Chang, Arman Cohan, Mark Gerstein
ICLRW 2024 MedAgents: Large Language Models as Collaborators for Zero-Shot Medical Reasoning Xiangru Tang, Anni Zou, Zhuosheng Zhang, Ziming Li, Yilun Zhao, Xingyao Zhang, Arman Cohan, Mark Gerstein
ICLRW 2024 Prioritizing Safeguarding over Autonomy: Risks of LLM Agents for Science Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan, Yichi Zhang, Wangchunshu Zhou, Meng Qu, Yilun Zhao, Jian Tang, Zhuosheng Zhang, Arman Cohan, Zhiyong Lu, Mark Gerstein
ICLR 2024 ToolLLM: Facilitating Large Language Models to Master 16000+ Real-World APIs Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun
NeurIPSW 2023 Benchmark Probing: Investigating Data Leakage in Large Language Models Chunyuan Deng, Yilun Zhao, Xiangru Tang, Mark Gerstein, Arman Cohan
NeurIPS 2023 Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering Tianxiao Li, Hongyu Guo, Filippo Grazioli, Mark Gerstein, Martin Renqiang Min
AISTATS 2014 Interpretable Sparse High-Order Boltzmann Machines Martin Renqiang Min, Xia Ning, Chao Cheng, Mark Gerstein