Fran Silavong
3 papers · 2024–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(15)
Top co-authors
Research topics
Machine Learning
(3)
Deep Learning
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Security & Privacy
(1)
Applications
(1)
Architectures
(1)
Core AI
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Models
(1)
Optimization & Theory
(1)
Privacy
(1)
Keywords
federated learning
(1)
few-shot learning
(1)
preference learning
(1)
prompt engineering
(1)
distribution shift
(1)
information leakage
(1)
prompt optimization
(1)
automated evaluation
(1)
gradient inversion
(1)
automatic prompt optimization
(1)
gradient inversion attack
(1)
automatic evaluation
(1)
human alignment
(1)
model retraining
(1)
gradient mixing
(1)
privacy defense
(1)
variation distance
(1)
large language model
(1)
judgment bia
(1)
data drift detection
(1)
Papers
InstaJudge: Aligning Judgment Bias of LLM-as-Judge with Humans in Industry Applications
EMNLP 2025
DriftWatch: A Tool that Automatically Detects Data Drift and Extracts Representative Examples Affected by Drift
NAACL 2024
Mixing Gradients in Neural Networks as a Strategy To Enhance Privacy in Federated Learning
WACV 2024