Shang Zhu

Researcher, Together AI

Joined

May 2023

Names

Shang Zhu (Preferred)

Emails

****@andrew.cmu.edu (Confirmed)

****@umich.edu (Confirmed)

****@together.ai (Confirmed)

Personal Links

ORCID

Career & Education History

Researcher

Together AI (together.ai)

2024 – Present

PhD student

University of Michigan - Ann Arbor (umich.edu)

2023 – 2024

MS student

Carnegie Mellon University (cmu.edu)

2019 – 2023

Advisors, Relations & Conflicts

No relations added

Expertise

Large Language Models

Present

Machine Learning

Present

Batteries

Present

Materials

Present

Publications

DSGym: A Standardized and Holistic Framework for Advancing Data Science Agents
Fan Nie, Junlin Wang, Harper Hua, Federico Bianchi, Yongchan Kwon, Zhenting Qi, Owen Queen, Shang Zhu, James Zou
- Agentic AI in the Wild: From Hallucinations to Reliable Autonomy Poster
- Readers: Everyone
DSGym: A Standardized and Holistic Framework for Advancing Data Science Agents
Fan Nie, Junlin Wang, Harper Hua, Federico Bianchi, Yongchan Kwon, Zhenting Qi, Owen Queen, Shang Zhu, James Zou
- LLA 2026 Poster
- Readers: Everyone
DSGym: A Standardized and Holistic Framework for Advancing Data Science Agents
Fan Nie, Junlin Wang, Harper Hua, Federico Bianchi, Yongchan Kwon, Zhenting Qi, Owen Queen, Shang Zhu, James Zou
- ICLR 2026 Workshop DATA-FM
- Readers: Everyone
DSGym: A Standardized and Holistic Framework for Advancing Data Science Agents
Fan Nie, Junlin Wang, Harper Hua, Federico Bianchi, Yongchan Kwon, Zhenting Qi, Owen Queen, Shang Zhu, James Zou
- ICLR 2026 AIWILD
- Readers: Everyone
When Does Divide and Conquer Work for Long Context LLM? A Noise Decomposition Framework
Zach Xu, Shang Zhu, Jue WANG, Junlin Wang, Ben Athiwaratkun, Chi Wang, James Zou, Ce Zhang
- ICLR 2026 Poster
- Readers: Everyone
Think Deep, Think Fast: Investigating Efficiency of Trained-verifier-free Inference-time-scaling Methods
Junlin Wang, Shang Zhu, Jon Saad-Falcon, Ben Athiwaratkun, Qingyang Wu, Jue WANG, Shuaiwen Leon Song, Ce Zhang, Bhuwan Dhingra, James Zou
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Support Your Local LMs: Redistributing LM Traffic from Cloud to Edge with TrafficBench
Jon Saad-Falcon, Avanika Narayan, Hakki Orhun Akengin, J. Wes Griffin, Herumb Shandilya, Adrian Gamarra Lafuente, Rebecca Joseph, Etash Kumar Guha, Shlok Natarajan, Shang Zhu, Ben Athiwaratkun, Azalia Mirhoseini, Christopher Re
- Submitted to ICLR 2026
- Readers: Everyone
Shrinking the Generation-Verification Gap with Weak Verifiers
Jon Saad-Falcon, E. Kelly Buchanan, Mayee F Chen, Tzu-Heng Huang, Brendan McLaughlin, Tanvir Bhathal, Shang Zhu, Ben Athiwaratkun, Frederic Sala, Scott Linderman, Azalia Mirhoseini, Christopher Re
- ES-FoMo III
- Readers: Everyone
Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification
Jon Saad-Falcon, E. Kelly Buchanan, Mayee F Chen, Tzu-Heng Huang, Brendan McLaughlin, Tanvir Bhathal, Shang Zhu, Ben Athiwaratkun, Frederic Sala, Scott Linderman, Azalia Mirhoseini, Christopher Re
- NeurIPS 2025 poster
- Readers: Everyone
Improving Model Alignment Through Collective Intelligence of Open-Source Models
Junlin Wang, Roy Xie, Shang Zhu, Jue WANG, Ben Athiwaratkun, Bhuwan Dhingra, Shuaiwen Leon Song, Ce Zhang, James Zou
- ICML 2025 poster
- Readers: Everyone

View all 13 publications

Co-Authors

View all 39 co-authors