Shen, Junhong

17 publications

TMLR 2026 CodePDE: An Inference Framework for LLM-Driven PDE Solver Generation Shanda Li, Tanya Marwah, Junhong Shen, Weiwei Sun, Andrej Risteski, Yiming Yang, Ameet Talwalkar

ICLR 2026 Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces Mike A Merrill, Alexander Glenn Shaw, Nicholas Carlini, Boxuan Li, Harsh Raj, Ivan Bercovich, Lin Shi, Jeong Yeon Shin, Thomas Walshe, E. Kelly Buchanan, Junhong Shen, Guanghao Ye, Haowei Lin, Jason Poulos, Maoyu Wang, Marianna Nezhurina, Di Lu, Orfeas Menis Mastromichalakis, Zhiwei Xu, Zizhao Chen, Yue Liu, Robert Zhang, Leon Liangyu Chen, Anurag Kashyap, Jan-Lucas Uslu, Jeffrey Li, Jianbo Wu, Minghao Yan, Song Bian, Vedang Sharma, Ke Sun, Steven Dillmann, Akshay Anand, Andrew Lanpouthakoun, Bardia Koopah, Changran Hu, Etash Kumar Guha, Gabriel H. S. Dreiman, Jiacheng Zhu, Karl Krauth, Li Zhong, Niklas Muennighoff, Robert Kwesi Amanfu, Shangyin Tan, Shreyas Pimpalgaonkar, Tushar Aggarwal, Xiangning Lin, Xin Lan, Xuandong Zhao, Yiqing Liang, Yuanli Wang, Zilong Wang, Changzhi Zhou, David Heineman, Hange Liu, Harsh Trivedi, John Yang, Junhong Lin, Manish Shetty, Michael Yang, Nabil Omi, Negin Raoof, Shanda Li, Terry Yue Zhuo, Wuwei Lin, Yiwei Dai, Yuxin Wang, Wenhao Chai, Shang Zhou, Dariush Wahdany, Ziyu She, Jiaming Hu, Zhikang Dong, Yuxuan Zhu, Sasha Cui, Ahson Saiyed, Arinbjörn Kolbeinsson, Christopher Michael Rytting, Ryan Marten, Yixin Wang, Jenia Jitsev, Alex Dimakis, Andy Konwinski, Ludwig Schmidt

NeurIPS 2025 CAT: Content-Adaptive Image Tokenization Junhong Shen, Kushal Tirumala, Michihiro Yasunaga, Ishan Misra, Luke Zettlemoyer, Lili Yu, Chunting Zhou

TMLR 2025 L2G: Repurposing Language Models for Genomics Tasks Wenduo Cheng, Junhong Shen, Mikhail Khodak, Jian Ma, Ameet Talwalkar

ICLRW 2025 Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity Weixin Liang, Junhong Shen, Genghan Zhang, Ning Dong, Luke Zettlemoyer, Lili Yu

ICLR 2025 Specialized Foundation Models Struggle to Beat Supervised Baselines Zongzhe Xu, Ritvik Gupta, Wenduo Cheng, Alexander Shen, Junhong Shen, Ameet Talwalkar, Mikhail Khodak

NeurIPS 2025 Thinking vs. Doing: Improving Agent Reasoning by Scaling Test-Time Interaction Junhong Shen, Hao Bai, Lunjun Zhang, Yifei Zhou, Amrith Setlur, Shengbang Tong, Diego Caples, Nan Jiang, Tong Zhang, Ameet Talwalkar, Aviral Kumar

ICLRW 2025 WorkflowAgent: Towards Specialized Web Agents Using Production-Scale Workflow Data Junhong Shen, Atishay Jain, Zedian Xiao, Ishan Amlekar, Mouad Hadji, Aaron Podolny, Ameet Talwalkar

NeurIPSW 2024 Specialized Foundation Models Struggle to Beat Supervised Baselines Zongzhe Xu, Ritvik Gupta, Wenduo Cheng, Alexander Shen, Junhong Shen, Ameet Talwalkar, Mikhail Khodak

ICML 2024 Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains Junhong Shen, Neil Tenenholtz, James Brian Hall, David Alvarez-Melis, Nicolo Fusi

TMLR 2024 UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation Junhong Shen, Tanya Marwah, Ameet Talwalkar

ICMLW 2024 UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation Junhong Shen, Tanya Marwah, Ameet Talwalkar

ICML 2023 Cross-Modal Fine-Tuning: Align Then Refine Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar

NeurIPS 2022 Efficient Architecture Search for Diverse Tasks Junhong Shen, Misha Khodak, Ameet Talwalkar

NeurIPS 2022 NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks Renbo Tu, Nicholas Roberts, Misha Khodak, Junhong Shen, Frederic Sala, Ameet Talwalkar

NeurIPS 2021 Iterative Teacher-Aware Learning Luyao Yuan, Dongruo Zhou, Junhong Shen, Jingdong Gao, Jeffrey L Chen, Quanquan Gu, Ying Nian Wu, Song-Chun Zhu

AAAI 2021 Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation Junhong Shen, Lin F. Yang