Max Lamparth

According to our database, Max Lamparth authored at least 15 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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, February, 2025

On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.

Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang

CoRR, February, 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, Vojtech Kovarík, Jan Kulveit, Joel Z. Leibo, Caspar Oesterheld, Christian Schröder de Witt, Nisarg Shah, Michael P. Wellman, Paolo Bova, Theodor Cimpeanu, Carson Ezell, Quentin Feuillade-Montixi, Matija Franklin, Esben Kran, Igor Krawczuk, Max Lamparth, Niklas Lauffer, Alexander Meinke, Sumeet Motwani, Anka Reuel, Vincent Conitzer, Michael Dennis, Iason Gabriel, Adam Gleave, Gillian K. Hadfield, Nika Haghtalab, Atoosa Kasirzadeh, Sébastien Krier, Kate Larson, Joel Lehman, David C. Parkes, Georgios Piliouras, Iyad Rahwan

CoRR, February, 2025

Position: We Need An Adaptive Interpretation of Helpful, Honest, and Harmless Principles.

Yue Huang, Chujie Gao, Yujun Zhou, Kehan Guo, Xiangqi Wang, Or Cohen-Sasson, Max Lamparth, Xiangliang Zhang

CoRR, February, 2025

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, Pietro Vischia, Haitham Zaraket

Mach. Learn. Sci. Technol., 2024

Measuring Free-Form Decision-Making Inconsistency of Language Models in Military Crisis Simulations.

Aryan Shrivastava, Jessica Hullman, Max Lamparth

CoRR, 2024

Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation.

Declan Grabb, Max Lamparth, Nina Vasan

CoRR, 2024

Markovian Agents for Truthful Language Modeling.

Scott Viteri, Max Lamparth, Peter Chatain, Clark W. Barrett

CoRR, 2024

Human vs. Machine: Language Models and Wargames.

Max Lamparth, Anthony Corso, Jacob Ganz, Oriana Skylar Mastro, Jacquelyn Schneider, Harold Trinkunas

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Analyzing And Editing Inner Mechanisms of Backdoored Language Models.

Max Lamparth, Anka Reuel

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Human vs. Machine: Behavioral Differences between Expert Humans and Language Models in Wargame Simulations.

Max Lamparth, Anthony Corso, Jacob Ganz, Oriana Skylar Mastro, Jacquelyn Schneider, Harold Trinkunas

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation (Extended Abstract).

Declan Grabb, Max Lamparth, Nina Vasan

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2022

Virgo: Scalable Unsupervised Classification of Cosmological Shock Waves.

Max Lamparth, Ludwig Böss, Ulrich Steinwandel, Klaus Dolag

CoRR, 2022