Konstantinos Voudouris

According to our database, Konstantinos Voudouris authored at least 26 papers between 2010 and 2026.

Collaborative distances:

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

2026

Post-training makes large language models less human-like.

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, Fritz Günther, Susanne Haridi, Sebastian Hellmann, Stefan Herytash, Linus Hof, Eleanor Holton, Isabelle Hoxha, Zak Hussain, Akshay K. Jagadish, Elif Kara, Valentin Kriegmair, Evelina Leivada, Ji-An Li, Tobias Ludwig, 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

CoRR, May, 2026

Measuring What AI Systems Might Do: Towards A Measurement Science in AI.

Konstantinos Voudouris, Mirko Thalmann, Alexander Kipnis, José Hernández-Orallo, Eric Schulz

CoRR, March, 2026

In-Context Function Learning in Large Language Models.

Elif Akata, Konstantinos Voudouris, Vincent Fortuin, Eric Schulz

CoRR, February, 2026

Can vision language models learn intuitive physics from interaction?

Luca M. Schulze Buschoff, Konstantinos Voudouris, Can Demircan, Eric Schulz

CoRR, February, 2026

Predictable artificial intelligence.

Lexin Zhou, Pablo A. M. Casares, Fernando Martínez-Plumed, John Burden, Ryan Burnell, Lucy Cheke, Cèsar Ferri, Alexandru Marcoci, Behzad Mehrbakhsh, Yael Moros-Daval, Seán Sáirséal Ó hÉigeartaigh, Danaja Rutar, Wout Schellaert, Konstantinos Voudouris, José Hernández-Orallo

Artif. Intell., 2026

2025

Exploring Major Transitions in the Evolution of Biological Cognition With Artificial Neural Networks.

Konstantinos Voudouris, Andrew Barron, Marta Halina, Colin Klein, Matishalin Patel

CoRR, September, 2025

A foundation model to predict and capture human cognition.

Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz

Nat., August, 2025

Cognitive Science-Inspired Evaluation of Core Capabilities for Object Understanding in AI.

Danaja Rutar, Alva Markelius, Konstantinos Voudouris, José Hernández-Orallo, Lucy Cheke

CoRR, March, 2025

Bringing Comparative Cognition To Computers.

Konstantinos Voudouris, Lucy G. Cheke, Eric Schulz

CoRR, March, 2025

Testing the limits of fine-tuning to improve reasoning in vision language models.

Luca M. Schulze Buschoff, Konstantinos Voudouris, Elif Akata, Matthias Bethge, Joshua B. Tenenbaum, Eric Schulz

CoRR, February, 2025

A Little Less Conversation, a Little More Action, Please: Investigating the Physical Common-Sense of LLMs in a 3D Embodied Environment.

Matteo G. Mecattaf, Ben Slater, Marko Tesic, Jonathan E. Prunty, Konstantinos Voudouris, Lucy G. Cheke

Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Testing the Limits of Fine-Tuning for Improving Visual Cognition in Vision Language Models.

Luca M. Schulze Buschoff, Konstantinos Voudouris, Elif Akata, Matthias Bethge, Joshua B. Tenenbaum, Eric Schulz

Proceedings of the Forty-second International Conference on Machine Learning, 2025

metabench - A Sparse Benchmark of Reasoning and Knowledge in Large Language Models.

Alexander Kipnis, Konstantinos Voudouris, Luca M. Schulze Buschoff, Eric Schulz

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Using Tools From Animal Psychology to Measure Metacognition in Artificial Intelligence.

Konstantinos Voudouris, Alexi J. Voudouris, Lucy G. Cheke

Proceedings of the 47th Annual Meeting of the Cognitive Science Society, 2025

PredictaBoard: Benchmarking LLM Score Predictability.

Lorenzo Pacchiardi, Konstantinos Voudouris, Ben Slater, Fernando Martínez-Plumed, José Hernández-Orallo, Lexin Zhou, Wout Schellaert

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Centaur: a foundation model of human cognition.

Marcel Binz, Elif Akata, Matthias Bethge, Franziska Brändle, Fred Callaway, Julian Coda-Forno, Peter Dayan, Can Demircan, Maria K. Eckstein, Noémi Élteto, Thomas L. Griffiths, Susanne Haridi, Akshay K. Jagadish, Ji-An Li, Alexander Kipnis, Sreejan Kumar, Tobias Ludwig, Marvin Mathony, Marcelo G. Mattar, Alireza Modirshanechi, Surabhi S. Nath, Joshua C. Peterson, Milena Rmus, Evan M. Russek, Tankred Saanum, Natalia Scharfenberg, Johannes A. Schubert, Luca M. Schulze Buschoff, Nishad Singhi, Xin Sui, Mirko Thalmann, Fabian J. Theis, Vuong Truong, Vishaal Udandarao, Konstantinos Voudouris, Robert C. Wilson, Kristin Witte, Shuchen Wu, Dirk U. Wulff, Huadong Xiong, Eric Schulz

CoRR, 2024

metabench - A Sparse Benchmark to Measure General Ability in Large Language Models.

Alexander Kipnis, Konstantinos Voudouris, Luca M. Schulze Buschoff, Eric Schulz

CoRR, 2024

Investigating Object Permanence in Deep Reinforcement Learning Agents.

Konstantinos Voudouris, Jason Darwin Liu, Natasza Siwinska, Wout Schellaert, Lucy G. Cheke

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2023

Animal-AI 3: What's New & Why You Should Care.

Konstantinos Voudouris, Ibrahim Alhas, Wout Schellaert, Matthew Crosby, Joel Holmes, John Burden, Niharika Chaubey, Niall Donnelly, Matishalin Patel, Marta Halina, José Hernández-Orallo, Lucy G. Cheke

CoRR, 2023

Inferring Capabilities from Task Performance with Bayesian Triangulation.

John Burden, Konstantinos Voudouris, Ryan Burnell, Danaja Rutar, Lucy Cheke, José Hernández-Orallo

CoRR, 2023

Harms from Increasingly Agentic Algorithmic Systems.

Alan Chan, Rebecca Salganik, Alva Markelius, Chris Pang, Nitarshan Rajkumar, Dmitrii Krasheninnikov, Lauro Langosco, Zhonghao He, Yawen Duan, Micah Carroll, Michelle P. Lin, Alex Mayhew, Katherine M. Collins, Maryam Molamohammadi, John Burden, Wanru Zhao, Shalaleh Rismani, Konstantinos Voudouris, Umang Bhatt, Adrian Weller, David Krueger, Tegan Maharaj

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Evaluating Object Permanence in Embodied Agents using the Animal-AI Environment.

Konstantinos Voudouris, Niall Donnelly, Danaja Rutar, Ryan Burnell, John Burden, José Hernández-Orallo, Lucy Cheke

Proceedings of the Workshop on AI Evaluation Beyond Metrics co-located with the 31st International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2022), 2022

Not a Number: Identifying Instance Features for Capability-Oriented Evaluation.

Ryan Burnell, John Burden, Danaja Rutar, Konstantinos Voudouris, Lucy Cheke, José Hernández-Orallo

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2019

Minimizing the uncertainties of RCMs climate data by using spatio-temporal geostatistical modeling.

Panagiota Venetsanou, Christina Anagnostopoulou, Athanasios Loukas, Georgia Lazoglou, Konstantinos Voudouris

Earth Sci. Informatics, 2019

2015

Support of irrigation water use and eco-friendly decision process in agricultural production planning.

Thomas Bournaris, Jason Papathanasiou, Basil D. Manos, Nerantzis Kazakis, Konstantinos Voudouris

Oper. Res., 2015

2010

An Agricultural Decision Support System for Optimal Land Use Regarding Groundwater Vulnerability.

Konstantinos Voudouris, Maurizio Polemio, Nerantzis Kazakis, Angelo Sifaleras

Int. J. Inf. Syst. Soc. Chang., 2010