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Shirley Wu
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2020 – today
- 2026
[i19]Tian Gao, Celine Tan, Catherine Glossop, Timothy Gao, Jiankai Sun, Kyle Stachowicz, Shirley Wu, Oier Mees, Dorsa Sadigh, Sergey Levine, Chelsea Finn:
SteerVLA: Steering Vision-Language-Action Models in Long-Tail Driving Scenarios. CoRR abs/2602.08440 (2026)
[i18]Shirley Wu, Evelyn Choi, Arpandeep Khatua, Zhanghan Wang, Joy He-Yueya, Tharindu Cyril Weerasooriya, Wei Wei, Diyi Yang, Jure Leskovec, James Zou:
HumanLM: Simulating Users with State Alignment Beats Response Imitation. CoRR abs/2603.03303 (2026)
[i17]Ifdita Hasan Orney, Jubayer Ibn Hamid, Shreya S. Ramanujam, Shirley Wu, Hengyuan Hu, Noah D. Goodman, Dorsa Sadigh, Chelsea Finn:
Poly-EPO: Training Exploratory Reasoning Models. CoRR abs/2604.17654 (2026)
[i16]Caleb Ziems, Dora Zhao, Rose E. Wang, Matthew Jörke, Ahmad Rushdi, Advit Deepak, Sunny Yu, Anshika Agarwal, Harshvardhan Agarwal, Gabriela Aranguiz-Dias, Aditri Bhagirath, Justine Breuch, Huanxing Chen, Ruishi Chen, Sarah Chen, Haocheng Fan, William Fang, Cat Gonzales Fergesen, Daniel Frees, Tian Gao, Ziqing Huang, Vishal Jain, Yucheng Jiang, Kirill P. Kalinin, Su Doga Karaca, Arpandeep Khatua, Teland La, Isabelle Levent, Miranda Li, Xinling Li, Yongce Li, Angela Liu, Minsik Oh, Nathan J. Paek, Anthony Qin, Emily Redmond, Michael J. Ryan, Aadesh Salecha, Xiaoxian Shen, Pranava Singhal, Shashanka Subrahmanya, Mei Tan, Irawadee Thawornbut, Michelle Vinocour, Xiaoyue Wang, Zheng Wang, Henry Jin Weng, Pawan Wirawarn, Shirley Wu, Sophie Wu, Yichen Xie, Patrick Ye, Sean Zhang, Yutong Zhang, Cathy Zhou, Yiling Zhao, James Landay, Diyi Yang:
Reflections and New Directions for Human-Centered Large Language Models. CoRR abs/2605.06901 (2026)
[i15]Tianlang Chen, Shirley Wu, Jure Leskovec:
Found in Conversation: LLMs Teach Themselves to Close the Multi-Turn Gap. CoRR abs/2605.24432 (2026)- 2025
[c9]Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, Jure Leskovec, Jianfeng Gao:
CollabLLM: From Passive Responders to Active Collaborators. ICML 2025
[c8]Wanjia Zhao, Mert Yüksekgönül, Shirley Wu, James Y. Zou:
SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning. NeurIPS 2025
[i14]Shirley Wu, Michel Galley, Baolin Peng, Hao Cheng, Gavin Li, Yao Dou, Weixin Cai, James Zou, Jure Leskovec, Jianfeng Gao:
CollabLLM: From Passive Responders to Active Collaborators. CoRR abs/2502.00640 (2025)
[i13]Wanjia Zhao, Mert Yüksekgönül, Shirley Wu, James Zou:
SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning. CoRR abs/2502.04780 (2025)
[i12]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:
Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards. CoRR abs/2507.03041 (2025)
[i11]Antoine Bigeard, Langston Nashold
, Rayan Krishnan, Shirley Wu:
Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks. CoRR abs/2508.00828 (2025)
[i10]Wanjia Zhao, Qinwei Ma, Jingzhe Shi, Shirley Wu, Jiaqi Han, Yijia Xiao, Si-Yuan Chen, Xiao Luo, Ludwig Schmidt, James Zou:
PRISM-Physics: Causal DAG-Based Process Evaluation for Physics Reasoning. CoRR abs/2510.03185 (2025)- 2024
[c7]Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Y. Zou, Jure Leskovec:
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts. NeurIPS 2024
[c6]Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Y. Zou:
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning. NeurIPS 2024
[c5]Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Y. Zou, Jure Leskovec:
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. NeurIPS 2024
[i9]Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Zou, Jure Leskovec:
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. CoRR abs/2404.13207 (2024)
[i8]Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou:
AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval. CoRR abs/2406.11200 (2024)- 2023
[c4]Shirley Wu, Mert Yüksekgönül, Linjun Zhang, James Zou:
Discover and Cure: Concept-aware Mitigation of Spurious Correlation. ICML 2023: 37765-37786
[c3]Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Yash Dalmia, Jure Leskovec, Cyril Zakka, Eduardo Pontes Reis, Pranav Rajpurkar:
Med-Flamingo: a Multimodal Medical Few-shot Learner. ML4H@NeurIPS 2023: 353-367
[c2]Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying:
D4Explainer: In-distribution Explanations of Graph Neural Network via Discrete Denoising Diffusion. NeurIPS 2023
[i7]Shirley Wu, Mert Yüksekgönül, Linjun Zhang, James Zou:
Discover and Cure: Concept-aware Mitigation of Spurious Correlation. CoRR abs/2305.00650 (2023)
[i6]Michael Moor, Qian Huang, Shirley Wu, Michihiro Yasunaga, Cyril Zakka, Yash Dalmia, Eduardo Pontes Reis, Pranav Rajpurkar, Jure Leskovec:
Med-Flamingo: a Multimodal Medical Few-shot Learner. CoRR abs/2307.15189 (2023)
[i5]Kaidi Cao, Rui Deng, Shirley Wu, Edward W. Huang, Karthik Subbian, Jure Leskovec:
Communication-Free Distributed GNN Training with Vertex Cut. CoRR abs/2308.03209 (2023)
[i4]Jialin Chen, Shirley Wu, Abhijit Gupta, Rex Ying:
D4Explainer: In-Distribution GNN Explanations via Discrete Denoising Diffusion. CoRR abs/2310.19321 (2023)
[i3]Chenhang Cui, Yiyang Zhou, Xinyu Yang, Shirley Wu, Linjun Zhang, James Zou, Huaxiu Yao:
Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges. CoRR abs/2311.03287 (2023)
[i2]Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Zou, Jure Leskovec:
GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts. CoRR abs/2312.04693 (2023)- 2022
[i1]Shirley Wu, Jiaxuan You
, Jure Leskovec, Rex Ying:
Efficient Automatic Machine Learning via Design Graphs. CoRR abs/2210.12257 (2022)
2000 – 2009
- 2009
[j1]Neil F. W. Saunders
, Pedro Beltrão
, Lars Juhl Jensen
, Daniel Jurczak, Roland Krause
, Michael Kuhn, Shirley Wu:
Microblogging the ISMB: A New Approach to Conference Reporting. PLoS Comput. Biol. 5(1) (2009)
[c1]Cameron Neylon, Shirley Wu:
Open Science: Tools, Approaches, and Implications. Pacific Symposium on Biocomputing 2009: 540-544
Coauthor Index

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last updated on 2026-06-25 01:09 CEST by the dblp team
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