Wu, Shirley

10 publications

ICLR 2026 Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards Shirley Wu, Parth Sarthi, Shiyu Zhao, Aaron Lee, Herumb Shandilya, Adrian Mladenic Grobelnik, Nurendra Choudhary, Edward W Huang, Karthik Subbian, Linjun Zhang, Diyi Yang, James Zou, Jure Leskovec

ICLR 2026 PRISM-Physics: Causal DAG-Based Process Evaluation for Physics Reasoning Wanjia Zhao, Qinwei Ma, Jingzhe Shi, Shirley Wu, Jiaqi Han, Yijia Xiao, Si-Yuan Chen, Xiao Luo, Ludwig Schmidt, James Zou

ICML 2025 CollabLLM: From Passive Responders to Active Collaborators Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, Jure Leskovec, Jianfeng Gao

NeurIPS 2025 SiriuS: Self-Improving Multi-Agent Systems via Bootstrapped Reasoning Wanjia Zhao, Mert Yuksekgonul, Shirley Wu, James Zou

ICLRW 2025 SiriuS: Self-Improving Multi-Agent Systems via Bootstrapped Reasoning Wanjia Zhao, Mert Yuksekgonul, Shirley Wu, James Zou

NeurIPS 2024 AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou

NeurIPS 2024 GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Zou, Jure Leskovec

NeurIPS 2024 STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Zou, Jure Leskovec

NeurIPS 2023 D4Explainer: In-Distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying

ICML 2023 Discover and Cure: Concept-Aware Mitigation of Spurious Correlation Shirley Wu, Mert Yuksekgonul, Linjun Zhang, James Zou