Junhong Shen

26 papers A* 7Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
CodePDE: An Inference Framework for LLM-driven PDE Solver Generation.
Trans. Mach. Learn. Res.
Shanda Li, Tanya Marwah, Junhong Shen, Weiwei Sun, Andrej Risteski, Yiming Yang, Ameet Talwalkar
2026 J jnl
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.
CoRR
Mike A. Merrill, Alexander Glenn Shaw, Nicholas Carlini, Boxuan Li, Harsh Raj, Ivan Bercovich, Lin Shi, Jeong Yeon Shin, Thomas Walshe, Estefany Kelly Buchanan, Junhong Shen, Guanghao Ye, Haowei Lin, Jason Poulos, Maoyu Wang, Marianna Nezhurina, Jenia Jitsev, 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 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, Jesse Hu, Christopher Michael Rytting, Ryan Marten, Yixin Wang, Alex Dimakis, Andy Konwinski, Ludwig Schmidt
2025 J jnl
CAT: Content-Adaptive Image Tokenization.
CoRR
Junhong Shen, Kushal Tirumala, Michihiro Yasunaga, Ishan Misra, Luke Zettlemoyer, Lili Yu, Chunting Zhou
2025 J jnl
CodePDE: An Inference Framework for LLM-driven PDE Solver Generation.
CoRR
Shanda Li, Tanya Marwah, Junhong Shen, Weiwei Sun, Andrej Risteski, Yiming Yang, Ameet Talwalkar
2025 J jnl
L2G: Repurposing Language Models for Genomics Tasks.
Trans. Mach. Learn. Res.
Wenduo Cheng, Junhong Shen, Mikhail Khodak, Jian Ma, Ameet Talwalkar
2025 J jnl
Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware Sparsity.
CoRR
Weixin Liang, Junhong Shen, Genghan Zhang, Ning Dong, Luke Zettlemoyer, Lili Yu
2025 A* conf
Specialized Foundation Models Struggle to Beat Supervised Baselines.
ICLR
Zongzhe Xu, Ritvik Gupta, Wenduo Cheng, Alexander Shen, Junhong Shen, Ameet Talwalkar, Mikhail Khodak
2025 J jnl
Thinking vs. Doing: Agents that Reason by Scaling Test-Time Interaction.
CoRR
Junhong Shen, Hao Bai, Lunjun Zhang, Yifei Zhou, Amrith Setlur, Shengbang Tong, Diego Caples, Nan Jiang, Tong Zhang, Ameet Talwalkar, Aviral Kumar
2024 J jnl
ScribeAgent: Towards Specialized Web Agents Using Production-Scale Workflow Data.
CoRR
Junhong Shen, Atishay Jain, Zedian Xiao, Ishan Amlekar, Mouad Hadji, Aaron Podolny, Ameet Talwalkar
2024 J jnl
Specialized Foundation Models Struggle to Beat Supervised Baselines.
CoRR
Zongzhe Xu, Ritvik Gupta, Wenduo Cheng, Alexander Shen, Junhong Shen, Ameet Talwalkar, Mikhail Khodak
2024 A* conf
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains.
ICML
Junhong Shen, Neil A. Tenenholtz, James Brian Hall, David Alvarez-Melis, Nicolò Fusi
2024 J jnl
Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains.
CoRR
Junhong Shen, Neil A. Tenenholtz, James Brian Hall, David Alvarez-Melis, Nicolò Fusi
2024 J jnl
UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation.
Trans. Mach. Learn. Res.
Junhong Shen, Tanya Marwah, Ameet Talwalkar
2024 J jnl
UPS: Towards Foundation Models for PDE Solving via Cross-Modal Adaptation.
CoRR
Junhong Shen, Tanya Marwah, Ameet Talwalkar
2023 A* conf
Cross-Modal Fine-Tuning: Align then Refine.
ICML
Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar
2023 J jnl
Cross-Modal Fine-Tuning: Align then Refine.
CoRR
Junhong Shen, Liam Li, Lucio M. Dery, Corey Staten, Mikhail Khodak, Graham Neubig, Ameet Talwalkar
2022 A* conf
Efficient Architecture Search for Diverse Tasks.
NeurIPS
Junhong Shen, Mikhail Khodak, Ameet Talwalkar
2022 J jnl
Efficient Architecture Search for Diverse Tasks.
CoRR
Junhong Shen, Mikhail Khodak, Ameet Talwalkar
2022 A* conf
NAS-Bench-360: Benchmarking Neural Architecture Search on Diverse Tasks.
NeurIPS
Renbo Tu, Nicholas Roberts, Mikhail Khodak, Junhong Shen, Frederic Sala, Ameet Talwalkar
2021 — conf
AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale.
NeurIPS (Competition and Demos)
Nicholas Roberts, Samuel Guo, Cong Xu, Ameet Talwalkar, David Lander, Lvfang Tao, Linhang Cai, Shuaicheng Niu, Jianyu Heng, Hongyang Qin, Minwen Deng, Johannes Hog, Alexander Pfefferle, Sushil Ammanaghatta Shivakumar, Arjun Krishnakumar, Yubo Wang, Rhea Sanjay Sukthanker, Frank Hutter, Euxhen Hasanaj, Tien-Dung Le, Mikhail Khodak, Yuriy Nevmyvaka, Kashif Rasul, Frederic Sala, Anderson Schneider, Junhong Shen, Evan Randall Sparks
2021 A* conf
Iterative Teacher-Aware Learning.
NeurIPS
Luyao Yuan, Dongruo Zhou, Junhong Shen, Jingdong Gao, Jeffrey L. Chen, Quanquan Gu, Ying Nian Wu, Song-Chun Zhu
2021 J jnl
Iterative Teacher-Aware Learning.
CoRR
Luyao Yuan, Dongruo Zhou, Junhong Shen, Jingdong Gao, Jeffrey L. Chen, Quanquan Gu, Ying Nian Wu, Song-Chun Zhu
2021 J jnl
Mathematical Reconstruction of Patient-Specific Vascular Networks Based on Clinical Images and Global Optimization.
IEEE Access
Junhong Shen, Abdul Hannan Faruqi, Yifan Jiang, Nima Maftoon
2021 A* conf
Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation.
AAAI
Junhong Shen, Lin F. Yang
2021 J jnl
Theoretically Principled Deep RL Acceleration via Nearest Neighbor Function Approximation.
CoRR
Junhong Shen, Lin F. Yang
2020 J jnl
Emergence of Pragmatics from Referential Game between Theory of Mind Agents.
CoRR
Luyao Yuan, Zipeng Fu, Jingyue Shen, Lu Xu, Junhong Shen, Song-Chun Zhu