Approaching Human-Level Forecasting with Language Models. - Danny Halawi; Fred Zhang; Chen Yueh-Han; Jacob Steinhardt (NeurIPS, 2024)

ForecastBench: A Dynamic Benchmark of AI Forecasting Capabilities. - Ezra Karger; Houtan Bastani; Chen Yueh-Han; Zachary Jacobs; Danny Halawi; Fred Zhang; Philip Tetlock (ICLR, 2025)

Beyond Memorization: Mapping the Originality-Quality Frontier of Language Models. - Vishakh Padmakumar; Chen Yueh-Han; Jane Pan; Valerie Chen; He He 001 (CoRR, 2025)

SAGE-Eval: Evaluating LLMs for Systematic Generalizations of Safety Facts. - Chen Yueh-Han; Guy Davidson; Brenden M. Lake (CoRR, 2025)

Monitoring Decomposition Attacks in LLMs with Lightweight Sequential Monitors. - Chen Yueh-Han; Nitish Joshi; Yulin Chen; Maksym Andriushchenko; Rico Angell; He He 001 (CoRR, 2025)