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2020 – today
- 2026
[i8]Bruce W. Lee, Chen Yueh-Han, Tomek Korbak:
Training Agents to Self-Report Misbehavior. CoRR abs/2602.22303 (2026)- [i7]Chen Yueh-Han, Robert McCarthy, Bruce W. Lee, He He, Ian Kivlichan, Bowen Baker, Micah Carroll, Tomek Korbak:
Reasoning Models Struggle to Control their Chains of Thought. CoRR abs/2603.05706 (2026) - [i6]Andy Han, Kristina Fujimoto, Avidan Shah, Kiet Nguyen, Kai Xu, Chen Yueh-Han, Ilia Sucholutsky, Rico Angell:
On-Policy Consistency Training Improves LLM Safety with Minimal Capability Degradation. CoRR abs/2605.21834 (2026) - 2025
- [c2]Ezra Karger, Houtan Bastani, Chen Yueh-Han, Zachary Jacobs, Danny Halawi, Fred Zhang, Philip Tetlock:
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities. ICLR 2025 - [i5]Vishakh Padmakumar, Chen Yueh-Han, Jane Pan, Valerie Chen, He He:
Beyond Memorization: Mapping the Originality-Quality Frontier of Language Models. CoRR abs/2504.09389 (2025) - [i4]Chen Yueh-Han, Guy Davidson, Brenden M. Lake:
SAGE-Eval: Evaluating LLMs for Systematic Generalizations of Safety Facts. CoRR abs/2505.21828 (2025) - [i3]Chen Yueh-Han, Nitish Joshi, Yulin Chen, Maksym Andriushchenko, Rico Angell, He He:
Monitoring Decomposition Attacks in LLMs with Lightweight Sequential Monitors. CoRR abs/2506.10949 (2025) - 2024
- [c1]Danny Halawi, Fred Zhang, Chen Yueh-Han, Jacob Steinhardt:
Approaching Human-Level Forecasting with Language Models. NeurIPS 2024 - [i2]Danny Halawi, Fred Zhang, Chen Yueh-Han, Jacob Steinhardt:
Approaching Human-Level Forecasting with Language Models. CoRR abs/2402.18563 (2024) - [i1]Ezra Karger, Houtan Bastani, Chen Yueh-Han, Zachary Jacobs, Danny Halawi, Fred Zhang, Philip E. Tetlock:
ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities. CoRR abs/2409.19839 (2024)
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