Trophic analysis of a historical network reveals temporal information. - Choudhry Shuaib; Mairaj Syed; Danny Halawi; Nazmus Saquib (Appl. Netw. Sci., 2022)

Eliciting Latent Predictions from Transformers with the Tuned Lens. - Nora Belrose; Zach Furman; Logan Smith; Danny Halawi; Igor Ostrovsky; Lev McKinney; Stella Biderman; Jacob Steinhardt (CoRR, 2023)

Overthinking the Truth: Understanding how Language Models Process False Demonstrations. - Danny Halawi; Jean-Stanislas Denain; Jacob Steinhardt (ICLR, 2024)

Covert Malicious Finetuning: Challenges in Safeguarding LLM Adaptation. - Danny Halawi; Alexander Wei 001; Eric Wallace; Tony Tong Wang; Nika Haghtalab; Jacob Steinhardt (ICML, 2024)

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

Dominion: A New Frontier for AI Research. - Danny Halawi; Aron Sarmasi; Siena Saltzen; Joshua McCoy (CoRR, 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)