Machine individuality: Separating genuine idiosyncrasy from response bias in large language models.

Marcel Binz Elif Akata Abdullah Almaatouq Mohammed Alsobay Oleksii Ariasov Franziska Brändle David Broska Jason W. Burton Nuno Busch Frederick Callaway Vanessa Cheung Brian R. Christian Julian Coda-Forno Can Demircan Vittoria Dentella Maria K. Eckstein Noémi Élteto Michael Franke Thomas L. Griffiths 0001 Fritz Günther Susanne Haridi Sebastian Hellmann 0003 Stefan Herytash Linus Hof Eleanor Holton Isabelle Hoxha Zak Hussain Akshay K. Jagadish Elif Kara Valentin Kriegmair Evelina Leivada Ji-An Li Tobias Ludwig 0003 Maximilian Maier Marcelo G. Mattar Marvin Mathony Alireza Modirshanechi Robin Na Mariia Nadverniuk Antonios Nasioulas Surabhi S. Nath Helen Niemeyer Kate Nussenbaum Sebastian Olschewski Thorsten Pachur Stefano Palminteri Aliona Petrenco Camille V. Phaneuf-Hadd Angelo Pirrone Manuel Rausch Laura Raveling Shashank Reddy Milena Rmus Evan M. Russek Tankred Saanum Kai Sandbrink Louis Schiekiera Johannes A. Schubert Luca M. Schulze Buschoff Nishad Singhi Leah H. Somerville Mikhail S. Spektor Xin Sui Christopher Summerfield Mirko Thalmann Anna Isabel Thoma Taisiia Tikhomirova Vuong Truong Polina Tsvilodub Konstantinos Voudouris Kristin Witte Shuchen Wu Dirk U. Wulff Huadong Xiong Songlin Xu Lance Ying Xinyu Zhang Jian-Qiao Zhu Eric Schulz Post-training makes large language models less human-like. 2026 May abs/2605.07632 CoRR https://doi.org/10.48550/arXiv.2605.07632 db/journals/corr/corr2605.html#abs-2605-07632 streams/journals/corr