Scholar
Philipp Schoenegger
Google Scholar ID: kDAq8DcAAAAJ
Microsoft AI
AI Evaluations
Forecasting
Behavioural Science
Follow
Google Scholar
↗
Citations & Impact
All-time
Citations
1,304
H-index
14
i10-index
14
Publications
20
Co-authors
21
list available
Publications
7 items
Securing Multi-Tool AI Agent Chains With Dynamic, Real-Time Compositional Policies
2026
Cited
0
Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies
2026
Cited
0
Verifiable Semantics for Agent-to-Agent Communication
2026
Cited
0
It's About Time: The Temporal and Modal Dynamics of Copilot Usage
2025
Cited
0
Outcome-based Reinforcement Learning to Predict the Future
2025
Cited
0
Large Language Models Are More Persuasive Than Incentivized Human Persuaders
2025
Cited
0
LLMs Can Teach Themselves to Better Predict the Future
2025
Cited
0
Co-authors
8 total
Philip E. Tetlock
Annenberg University Professor, Wharton & School of Arts and Sciences, University of Pennsylvania
Ezra Karger
Federal Reserve Bank of Chicago
Sean Trott
Assistant Teaching Professor, UC San Diego
Joshua Lewis
Assistant Professor of Marketing, New York University, Stern School of Business
Benjamin Turtel
CEO @ Lightning Rod Labs
Luke Hewitt
Stanford University
Barbara A Mellers
Professor of Psychology and Marketing, University of Pennsylvania
Cameron R. Jones
Postdoc, UC San Diego