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Career
·
Research Intern
,
Microsoft Research
2024–2024
·
PhD in Computer Science
,
Stanford University
2022–
Publications
(26)
Med-Flamingo: a Multimodal Medical Few-shot Learner
ML4H@NeurIPS · 2023
448
cited
Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges
arXiv.org · 2023
123
cited
Discover and Cure: Concept-aware Mitigation of Spurious Correlation
International Conference on Machine Learning · 2023
86
cited
The FEATURE framework for protein function annotation: modeling new functions, improving performance, and extending to novel applications
BMC Genomics · 2008
60
cited
AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning
Neural Information Processing Systems · 2024
58
cited
STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases
Neural Information Processing Systems · 2024
46
cited
CollabLLM: From Passive Responders to Active Collaborators
International Conference on Machine Learning · 2025
41
cited
SiriuS: Self-improving Multi-agent Systems via Bootstrapped Reasoning
arXiv.org · 2025
22
cited
The SeqFEATURE library of 3D functional site models: comparison to existing methods and applications to protein function annotation
Genome Biology · 2008
21
cited
Identification of recurring protein structure microenvironments and discovery of novel functional sites around CYS residues
BMC Structural Biology · 2010
16
cited
GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts
Neural Information Processing Systems · 2023
15
cited
Finance Agent Benchmark: Benchmarking LLMs on Real-world Financial Research Tasks
arXiv.org · 2025
11
cited
GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts
arXiv.org · 2023
9
cited
Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards
arXiv.org · 2025
8
cited
Communication-Free Distributed GNN Training with Vertex Cut
arXiv.org · 2023
4
cited
Efficient Automatic Machine Learning via Design Graphs
arXiv.org · 2022
1
cited
PRISM-Physics: Causal DAG-Based Process Evaluation for Physics Reasoning
arXiv.org · 2025
1
cited
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Shirley Wu | Researcher Profile | Sotabase | Sotabase