Shang Zhu - RankMe

18 papers A* 2C 1Journal 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DSGym: A Holistic Framework for Evaluating and Training Data Science Agents. CoRR Fan Nie, Junlin Wang, Harper Hua, Federico Bianchi, Yongchan Kwon, Zhenting Qi, Owen Queen, Shang Zhu, James Zou
2025	J	`jnl`	32 examples of LLM applications in materials science and chemistry: towards automation, assistants, agents, and accelerated scientific discovery. Mach. Learn. Sci. Technol. Yoel Zimmermann, Adib Bazgir, Alexander Al-Feghali, Mehrad Ansari, Joshua D. Bocarsly, L. Catherine Brinson, Yuan Chiang, Defne Circi, Min-Hsueh Chiu, Nathan Daelman, Matthew L. Evans, Abhijeet Sadashiv Gangan, Janine George, Hassan Harb, Ghazal Khalighinejad, Sartaaj Khan, Sascha Klawohn, Magdalena Lederbauer, Soroush Mahjoubi, Bernadette Mohr, Seyed Mohamad Moosavi, Aakash Naik, Aleyna Beste Ozhan, Dieter Plessers, Aritra Roy, Fabian Schöppach, Philippe Schwaller, Carla Terboven, Katharina Ueltzen, Yue Wu, Shang Zhu, Jan Janssen, Calvin Li, Ian T. Foster, Ben Blaiszik
2025	J	`jnl`	34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery. CoRR Yoel Zimmermann, Adib Bazgir, Alexander Al-Feghali, Mehrad Ansari, Joshua D. Bocarsly, L. Catherine Brinson, Yuan Chiang, Defne Circi, Min-Hsueh Chiu, Nathan Daelman, Matthew L. Evans, Abhijeet Sadashiv Gangan, Janine George, Hassan Harb, Ghazal Khalighinejad, Sartaaj Khan, Sascha Klawohn, Magdalena Lederbauer, Soroush Mahjoubi, Bernadette Mohr, Seyed Mohamad Moosavi, Aakash Naik, Aleyna Beste Ozhan, Dieter Plessers, Aritra Roy, Fabian Schöppach, Philippe Schwaller, Carla Terboven, Katharina Ueltzen, Yue Wu, Shang Zhu, Jan Janssen, Calvin Li, Ian T. Foster, Ben Blaiszik
2025	J	`jnl`	CLOUD: A Scalable and Physics-Informed Foundation Model for Crystal Representation Learning. CoRR Changwen Xu, Shang Zhu, Venkatasubramanian Viswanathan
2025	J	`jnl`	DREAMS: Density Functional Theory Based Research Engine for Agentic Materials Simulation. CoRR Ziqi Wang, Hongshuo Huang, Hancheng Zhao, Changwen Xu, Shang Zhu, Jan Janssen, Venkatasubramanian Viswanathan
2025	J	`jnl`	Improving Model Alignment Through Collective Intelligence of Open-Source LLMS. CoRR Junlin Wang, Roy Xie, Shang Zhu, Jue Wang, Ben Athiwaratkun, Bhuwan Dhingra, Shuaiwen Leon Song, Ce Zhang, James Zou
2025	A*	`conf`	Improving Model Alignment Through Collective Intelligence of Open-Source Models. ICML Junlin Wang, Roy Xie, Shang Zhu, Jue Wang, Ben Athiwaratkun, Bhuwan Dhingra, Shuaiwen Leon Song, Ce Zhang, James Zou
2025	J	`jnl`	Intelligence per Watt: Measuring Intelligence Efficiency of Local AI. CoRR Jon Saad-Falcon, Avanika Narayan, Hakki Orhun Akengin, J. Wes Griffin, Herumb Shandilya, Adrian Gamarra Lafuente, Medhya Goel, Rebecca Joseph, Shlok Natarajan, Etash Kumar Guha, Shang Zhu, Ben Athiwaratkun, John Hennessy, Azalia Mirhoseini, Christopher Ré
2025	J	`jnl`	ReasonIF: Large Reasoning Models Fail to Follow Instructions During Reasoning. CoRR Yongchan Kwon, Shang Zhu, Federico Bianchi, Kaitlyn Zhou, James Zou
2025	J	`jnl`	Scaling Instruction-Tuned LLMs to Million-Token Contexts via Hierarchical Synthetic Data Generation. CoRR Linda He, Jue Wang, Maurice Weber, Shang Zhu, Ben Athiwaratkun, Ce Zhang
2025	A*	`conf`	Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation. ICLR Linda He, Jue Wang, Maurice Weber, Shang Zhu, Ben Athiwaratkun, Ce Zhang
2025	J	`jnl`	Shrinking the Generation-Verification Gap with Weak Verifiers. CoRR Jon Saad-Falcon, Estefany Kelly Buchanan, Mayee F. Chen, Tzu-Heng Huang, Brendan McLaughlin, Tanvir Bhathal, Shang Zhu, Ben Athiwaratkun, Frederic Sala, Scott W. Linderman, Azalia Mirhoseini, Christopher Ré
2025	J	`jnl`	Think Deep, Think Fast: Investigating Efficiency of Verifier-free Inference-time-scaling Methods. CoRR Junlin Wang, Shang Zhu, Jon Saad-Falcon, Ben Athiwaratkun, Qingyang Wu, Jue Wang, Shuaiwen Leon Song, Ce Zhang, Bhuwan Dhingra, James Zou
2025	J	`jnl`	When Does Divide and Conquer Work for Long Context LLM? A Noise Decomposition Framework. CoRR Zhen Xu, Shang Zhu, Jue Wang, Junlin Wang, Ben Athiwaratkun, Chi Wang, James Zou, Ce Zhang
2024	J	`jnl`	Open-Source Fermionic Neural Networks with Ionic Charge Initialization. CoRR Shai Pranesh, Shang Zhu, Venkat Viswanathan, Bharath Ramsundar
2024	C	`conf`	Theme Work on Teamwork: Mapping Student Teaming Experiences in Design Projects. FIE Sara Beckman, Krina Patel, Qiuquan Gu, Shang Zhu, Alexander Cui, Jacob Yim
2023	J	`jnl`	Differentiable Chemical Physics by Geometric Deep Learning for Gradient-based Property Optimization of Mixtures. CoRR Shang Zhu, Bharath Ramsundar, Emil Annevelink, Hongyi Lin, Adarsh Dave, Pin-Wen Guan, Kevin Gering, Venkatasubramanian Viswanathan
2023	J	`jnl`	Open Source Infrastructure for Differentiable Density Functional Theory. CoRR Advika Vidhyadhiraja, Arun Pa Thiagarajan, Shang Zhu, Venkat Viswanathan, Bharath Ramsundar