Yueh-Han Chen

According to our database, Yueh-Han Chen authored at least 8 papers between 2024 and 2026.

Collaborative distances:

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

2026

On-Policy Consistency Training Improves LLM Safety with Minimal Capability Degradation.

Andy Han, Kristina Fujimoto, Avidan Shah, Kiet Nguyen, Kai Xu, Yueh-Han Chen, Ilia Sucholutsky, Rico Angell

CoRR, May, 2026

Reasoning Models Struggle to Control their Chains of Thought.

Yueh-Han Chen, Robert McCarthy, Bruce W. Lee, He He, Ian Kivlichan, Bowen Baker, Micah Carroll, Tomek Korbak

CoRR, March, 2026

Training Agents to Self-Report Misbehavior.

Bruce W. Lee, Yueh-Han Chen, Tomek Korbak

CoRR, February, 2026

2025

Monitoring Decomposition Attacks in LLMs with Lightweight Sequential Monitors.

Yueh-Han Chen, Nitish Joshi, Yulin Chen, Maksym Andriushchenko, Rico Angell, He He

CoRR, June, 2025

Beyond Memorization: Mapping the Originality-Quality Frontier of Language Models.

Vishakh Padmakumar, Yueh-Han Chen, Jane Pan, Valerie Chen, He He

CoRR, April, 2025

SAGE-Eval: Evaluating LLMs for Systematic Generalizations of Safety Facts.

Yueh-Han Chen, Guy Davidson, Brenden M. Lake

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities.

Ezra Karger, Houtan Bastani, Yueh-Han Chen, Zachary Jacobs, Danny Halawi, Fred Zhang, Philip Tetlock

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Approaching Human-Level Forecasting with Language Models.

Danny Halawi, Fred Zhang, Yueh-Han Chen, Jacob Steinhardt

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024