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Virginia Smith
Scholar

Virginia Smith

Google Scholar ID: bldHpWIAAAAJ
Carnegie Mellon University
Machine LearningOptimizationDistributed Systems
Google Scholar↗
Citations & Impact
All-time
Citations
26,776
 
H-index
36
 
i10-index
63
 
Publications
20
 
Co-authors
41
list available
Contact
No contact links provided.
Publications
23 items
Open-Weight LLM Fine-Tuning Defenses are Susceptible to Simple Attacks
2026
Cited
0
Curriculum Learning for Safety Alignment
2026
Cited
0
Beyond LoRA vs. Full Fine-Tuning: Gradient-Guided Optimizer Routing for LLM Adaptation
2026
Cited
0
Pando: Do Interpretability Methods Work When Models Won't Explain Themselves?
2026
Cited
0
DSPA: Dynamic SAE Steering for Data-Efficient Preference Alignment
2026
Cited
0
IsoCompute Playbook: Optimally Scaling Sampling Compute for LLM RL
2026
Cited
0
POPE: Learning to Reason on Hard Problems via Privileged On-Policy Exploration
2026
Cited
1
Research in Collaborative Learning Does Not Serve Cross-Silo Federated Learning in Practice
2025
Cited
0
Resume (English only)
Co-authors
41 total
Tian Li
Tian Li
University of Chicago
Maziar Sanjabi
Maziar Sanjabi
Meta AI
Manzil Zaheer
Manzil Zaheer
Google Research
Michael I. Jordan
Michael I. Jordan
Professor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC Berkeley
Ahmad Beirami
Ahmad Beirami
Google DeepMind
Martin Jaggi
Martin Jaggi
EPFL
Martin Takáč
Martin Takáč
Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)
Co-author 8
Co-author 8

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