AdaLead: A simple and robust adaptive greedy search algorithm for sequence design. - Sam Sinai; Richard Wang; Alexander Whatley; Stewart Slocum; Elina Locane; Eric D. Kelsic (CoRR, 2020)

Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback. - Stephen Casper; Xander Davies; Claudia Shi; Thomas Krendl Gilbert; Jérémy Scheurer; Javier Rando; Rachel Freedman; Tomasz Korbak; David Lindner; Pedro Freire; Tony Tong Wang; Samuel Marks; et al. (Trans. Mach. Learn. Res., 2023)

Interpretable by Design: Learning Predictors by Composing Interpretable Queries. - Aditya Chattopadhyay; Stewart Slocum; Benjamin D. Haeffele; René Vidal; Donald Geman (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Diverse Preference Learning for Capabilities and Alignment. - Stewart Slocum; Asher Parker-Sartori; Dylan Hadfield-Menell (ICLR, 2025)

Model Tampering Attacks Enable More Rigorous Evaluations of LLM Capabilities. - Zora Che; Stephen Casper; Robert Kirk; Anirudh Satheesh; Stewart Slocum; Lev E. McKinney; Rohit Gandikota; Aidan Ewart; Domenic Rosati; Zichu Wu; Zikui Cai; Bilal Chughtai; et al. (Trans. Mach. Learn. Res., 2025)

The AI Agent Index. - Stephen Casper; Luke Bailey; Rosco Hunter; Carson Ezell; Emma Cabalé; Michael Gerovitch; Stewart Slocum; Kevin Wei; Nikola Jurkovic; Ariba Khan; Phillip J. K. Christoffersen; A. Pinar Ozisik; et al. (CoRR, 2025)

Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty. - Mehul Damani; Isha Puri; Stewart Slocum; Idan Shenfeld; Leshem Choshen; Yoon Kim; Jacob Andreas (CoRR, 2025)