Philipp Schoenegger

According to our database, Philipp Schoenegger authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies.

Chris Schneider, Philipp Schoenegger, Ben Bariach

CoRR, April, 2026

How people use Copilot for Health.

Beatriz Costa-Gomes, Pavel Tolmachev, Eloise Taysom, Viknesh Sounderajah, Hannah Richardson, Philipp Schoenegger, Xiaoxuan Liu, Matthew M. Nour, Seth Spielman, Samuel F. Way, Yash Shah, Michael Bhaskar, Harsha Nori, Christopher Kelly, Peter Hames, Bay Gross, Mustafa Suleyman, Dominic King

CoRR, April, 2026

Verifiable Semantics for Agent-to-Agent Communication.

Philipp Schoenegger, Matt Carlson, Chris Schneider, Chris Daly

CoRR, February, 2026

2025

It's About Time: The Temporal and Modal Dynamics of Copilot Usage.

Beatriz Costa-Gomes, Sophia Chen, Connie Hsueh, Deborah Morgan, Philipp Schoenegger, Yash Shah, Sam Way, Yuki Zhu, Timothé Adeline, Michael Bhaskar, Mustafa Suleyman, Seth Spielman

CoRR, December, 2025

Prompt Engineering Large Language Models' Forecasting Capabilities.

Philipp Schoenegger, Cameron R. Jones, Philip E. Tetlock, Barbara A. Mellers

CoRR, June, 2025

Large Language Models Are More Persuasive Than Incentivized Human Persuaders.

Philipp Schoenegger, Francesco Salvi, Jiacheng Liu, Xiaoli Nan, Ramit Debnath, Barbara Fasolo, Evelina Leivada, Gabriel Recchia, Fritz Günther, Ali Zarifhonarvar, Joe Kwon, Zahoor Ul Islam, Marco Dehnert, Daryl Y. H. Lee, Madeline G. Reinecke, David G. Kamper, Mert Kobas, Adam Sandford, Jonas Kgomo, Luke Hewitt, Shreya Kapoor, Kerem Oktar, Eyup Engin Kucuk, Bo Feng, Cameron R. Jones, Izzy Gainsburg, Sebastian Olschewski, Nora Heinzelmann, Francisco Cruz, Ben M. Tappin, Tao Ma, Peter S. Park, Rayan Onyonka, Arthur Hjorth, Peter Slattery, Qingcheng Zeng, Lennart Finke, Igor Grossmann, Alessandro Salatiello, Ezra Karger

CoRR, May, 2025

AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy.

Philipp Schoenegger, Peter S. Park, Ezra Karger, Sean Trott, Philip E. Tetlock

ACM Trans. Interact. Intell. Syst., March, 2025

LLMs Can Teach Themselves to Better Predict the Future.

Benjamin Turtel, Danny Franklin, Philipp Schoenegger

CoRR, February, 2025

Outcome-based Reinforcement Learning to Predict the Future.

Benjamin Turtel, Danny Franklin, Kris Skotheim, Luke Hewitt, Philipp Schoenegger

Trans. Mach. Learn. Res., 2025

2024

Can AI Understand Human Personality? - Comparing Human Experts and AI Systems at Predicting Personality Correlations.

Philipp Schoenegger, Spencer Greenberg, Alexander Grishin, Joshua Lewis, Lucius Caviola

CoRR, 2024

Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy.

Philipp Schoenegger, Indre Tuminauskaite, Peter S. Park, Philip E. Tetlock

CoRR, 2024

AI-Augmented Predictions: LLM Assistants Improve Human Forecasting Accuracy.

Philipp Schoenegger, Peter S. Park, Ezra Karger, Philip E. Tetlock

CoRR, 2024

2023

Large Language Model Prediction Capabilities: Evidence from a Real-World Forecasting Tournament.

Philipp Schoenegger, Peter S. Park

CoRR, 2023

Artificial intelligence in psychology research.

Peter S. Park, Philipp Schoenegger, Chongyang Zhu

CoRR, 2023