Zhu, Shang

5 publications

ICML 2025 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

ICLR 2025 Scaling Instruction-Tuned LLMs to Million-Token Contexts via Hierarchical Synthetic Data Generation Linda He, Jue Wang, Maurice Weber, Shang Zhu, Ben Athiwaratkun, Ce Zhang

NeurIPS 2025 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

NeurIPSW 2024 CLOUD: A Scalable Scientific Foundation Model for Crystal Representation Learning Changwen Xu, Shang Zhu, Venkatasubramanian Viswanathan

ICMLW 2023 Open Source Infrastructure for Differentiable Density Functional Theory Advika Vidhyadhiraja, Arun Pa Thiagarajan, Shang Zhu, Venkatasubraman Viswanathan, Bharath Ramsundar