Shangyin Tan

According to our database, Shangyin Tan authored at least 17 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

optimize_anything: A Universal API for Optimizing any Text Parameter.

Lakshya A. Agrawal, Donghyun Lee, Shangyin Tan, Wenjie Ma, Karim Elmaaroufi, Rohit Sandadi, Sanjit A. Seshia, Koushik Sen, Daniel Klein, Ion Stoica, Joseph E. Gonzalez, Omar Khattab, Alexandros G. Dimakis, Matei Zaharia

CoRR, May, 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, 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

CoRR, January, 2026

Parallel Environments for Agents.

Shangyin Tan, Jialin Zhang, Matei Zaharia

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

Automatically Learning Skills for Coding Agents.

Shangyin Tan, Lakshya A. Agrawal, Rohit Sandadi, Dan Klein, Koushik Sen, Alexandros G. Dimakis, Matei Zaharia

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

optimize_anything: Unified Text Optimization can Outperform Specialized Systems.

Lakshya A. Agrawal, Donghyun Lee, Shangyin Tan, Wenjie Ma, Karim Elmaaroufi, Rohit Sandadi, Sanjit A. Seshia, Koushik Sen, Dan Klein, Ion Stoica, Joseph E. Gonzalez, Omar Khattab, Alexandros G. Dimakis, Matei Zaharia

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

optimize_anything: A Universal API for Optimizing any Text Parameter.

Lakshya A. Agrawal, Donghyun Lee, Shangyin Tan, Wenjie Ma, Karim Elmaaroufi, Sanjit A. Seshia, Koushik Sen, Dan Klein, Ion Stoica, Joseph E. Gonzalez, Omar Khattab, Alexandros G. Dimakis, Matei Zaharia

Proceedings of the ACM Conference on AI and Agentic Systems, 2026

2025

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning.

Lakshya A. Agrawal, Shangyin Tan, Dilara Soylu, Noah Ziems, Rishi Khare, Krista Opsahl-Ong, Arnav Singhvi, Herumb Shandilya, Michael J. Ryan, Meng Jiang, Christopher Potts, Koushik Sen, Alexandros G. Dimakis, Ion Stoica, Daniel Klein, Matei Zaharia, Omar Khattab

CoRR, July, 2025

LangProBe: a Language Programs Benchmark.

Shangyin Tan, Lakshya A. Agrawal, Arnav Singhvi, Liheng Lai, Michael J. Ryan, Dan Klein, Omar Khattab, Koushik Sen, Matei Zaharia

CoRR, February, 2025

LangProBe: a Language Program Benchmark.

Shangyin Tan, Lakshya A. Agrawal, Arnav Singhvi, Liheng Lai, Michael J. Ryan, Daniel Klein, Omar Khattab, Koushik Sen, Matei Zaharia

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

S*: Test Time Scaling for Code Generation.

Dacheng Li, Shiyi Cao, Chengkun Cao, Xiuyu Li, Shangyin Tan, Kurt Keutzer, Jiarong Xing, Joseph E. Gonzalez, Ion Stoica

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

SlimFit: Memory-Efficient Fine-Tuning of Transformer-based Models Using Training Dynamics.

Arash Ardakani, Altan Haan, Shangyin Tan, Doru-Thom Popovici, Alvin Cheung, Costin Iancu, Koushik Sen

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

DSPy Assertions: Computational Constraints for Self-Refining Language Model Pipelines.

Arnav Singhvi, Manish Shetty, Shangyin Tan, Christopher Potts, Koushik Sen, Matei Zaharia, Omar Khattab

CoRR, 2023

ItyFuzz: Snapshot-Based Fuzzer for Smart Contract.

Chaofan Shou, Shangyin Tan, Koushik Sen

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Compiling Parallel Symbolic Execution with Continuations.

Guannan Wei, Songlin Jia, Ruiqi Gao, Haotian Deng, Shangyin Tan, Oliver Bracevac, Tiark Rompf

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

2022

INTENT: Interactive Tensor Transformation Synthesis.

Zhanhui Zhou, Man To Tang, Qiping Pan, Shangyin Tan, Xinyu Wang, Tianyi Zhang

Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology, 2022

2021

LLSC: a parallel symbolic execution compiler for LLVM IR.

Guannan Wei, Shangyin Tan, Oliver Bracevac, Tiark Rompf

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

2020

Compiling symbolic execution with staging and algebraic effects.

Guannan Wei, Oliver Bracevac, Shangyin Tan, Tiark Rompf

Proc. ACM Program. Lang., 2020