Virgo: Scalable Unsupervised Classification of Cosmological Shock Waves. - Max Lamparth; Ludwig Böss; Ulrich Steinwandel; Klaus Dolag (CoRR, 2022)

Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation (Extended Abstract). - Declan Grabb; Max Lamparth; Nina Vasan (AIES (1), 2024)

Human vs. Machine: Behavioral Differences between Expert Humans and Language Models in Wargame Simulations. - Max Lamparth; Anthony Corso 001; Jacob Ganz; Oriana Skylar Mastro; Jacquelyn Schneider; Harold Trinkunas (AIES (1), 2024)

Analyzing And Editing Inner Mechanisms of Backdoored Language Models. - Max Lamparth; Anka Reuel (FAccT, 2024)

Escalation Risks from Language Models in Military and Diplomatic Decision-Making. - Juan Pablo Rivera; Gabriel Mukobi; Anka Reuel; Max Lamparth; Chandler Smith; Jacquelyn Schneider (FAccT, 2024)

BetterBench: Assessing AI Benchmarks, Uncovering Issues, and Establishing Best Practices. - Anka Reuel-Lamparth; Amelia F. Hardy; Chandler Smith; Max Lamparth; Malcolm Hardy; Mykel J. Kochenderfer (NeurIPS, 2024)

Human vs. Machine: Language Models and Wargames. - Max Lamparth; Anthony Corso 001; Jacob Ganz; Oriana Skylar Mastro; Jacquelyn Schneider; Harold Trinkunas (CoRR, 2024)

Markovian Agents for Truthful Language Modeling. - Scott Viteri; Max Lamparth; Peter Chatain; Clark W. Barrett (CoRR, 2024)

Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation. - Declan Grabb; Max Lamparth; Nina Vasan (CoRR, 2024)

Measuring Free-Form Decision-Making Inconsistency of Language Models in Military Crisis Simulations. - Aryan Shrivastava; Jessica Hullman; Max Lamparth (CoRR, 2024)

TomOpt: differential optimisation for task- and constraint-aware design of particle detectors in the context of muon tomography. - Giles C. Strong; Maxime Lagrange; Aitor Orio; Anna Bordignon; Florian Bury; Tommaso Dorigo; Andrea Giammanco; Mariam Heikal; Jan Kieseler; Max Lamparth; Pablo Martínez Ruíz del Árbol; Federico Nardi; et al. (Mach. Learn. Sci. Technol., 2024)

Position: We Need An Adaptive Interpretation of Helpful, Honest, and Harmless Principles. - Yue Huang 001; Chujie Gao; Yujun Zhou 002; Kehan Guo; Xiangqi Wang; Or Cohen-Sasson; Max Lamparth; Xiangliang Zhang 001 (CoRR, 2025)

Multi-Agent Risks from Advanced AI. - Lewis Hammond; Alan Chan; Jesse Clifton; Jason Hoelscher-Obermaier; Akbir Khan; Euan McLean; Chandler Smith; Wolfram Barfuss; Jakob N. Foerster; Tomas Gavenciak; The Anh Han; Edward Hughes 001; et al. (CoRR, 2025)

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective. - Yue Huang 001; Chujie Gao; Siyuan Wu 001; Haoran Wang 005; Xiangqi Wang; Yujun Zhou 010; Yanbo Wang 005; Jiayi Ye; Jiawen Shi; Qihui Zhang; Yuan Li 032; Han Bao 003; et al. (CoRR, 2025)

Moving Beyond Medical Exam Questions: A Clinician-Annotated Dataset of Real-World Tasks and Ambiguity in Mental Healthcare. - Max Lamparth; Declan Grabb; Amy Franks; Scott Gershan; Kaitlyn N. Kunstman; Aaron Lulla; Monika Drummond Roots; Manu Sharma; Aryan Shrivastava; Nina Vasan; Colleen Waickman (CoRR, 2025)