Explaining away: significance of priors, diagnostic reasoning and structural complexity. - Alice Liefgreen; Marko Tesic; David A. Lagnado (CogSci, 2018)

Sequential diagnostic reasoning with independent causes. - Marko Tesic; Ulrike Hahn (CogSci, 2019)

Confirmation and the generalized Nagel-Schaffner model of reduction: a Bayesian analysis. - Marko Tesic (Synth., 2019)

Human-Generated Explanations of Inferences in Bayesian Networks: A Case Study. - Marko Tesic; Ulrike Hahn (CogSci, 2020)

Explanation in AI systems. - Marko Tesic; Ulrike Hahn (Human-Like Machine Intelligence, 2022)

Can counterfactual explanations of AI systems' predictions skew lay users' causal intuitions about the world? If so, can we correct for that? - Marko Tesic; Ulrike Hahn (Patterns, 2022)

Causal Structure and Argumentative Value. - Ulrike Hahn; Borut Trpin; Stephan Hartmann 001; Marko Tesic; Anita Keshmirian; Corina Strößner (CogSci, 2023)

Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence. - Rakshit Trivedi; Akbir Khan; Jesse Clifton; Lewis Hammond; Edgar A. Duéñez-Guzmán; Dipam Chakraborty; John P. Agapiou; Jayd Matyas; Alexander Sasha Vezhnevets; Barna Pásztor; Yunke Ao; Omar G. Younis; et al. (NeurIPS, 2024)

Leaving the barn door open for Clever Hans: Simple features predict LLM benchmark answers. - Lorenzo Pacchiardi; Marko Tesic; Lucy G. Cheke; José Hernández-Orallo (CoRR, 2024)

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 (CoRR, 2024)

Paradigms of AI Evaluation: Mapping Goals, Methodologies and Culture. - John Burden; Marko Tesic; Lorenzo Pacchiardi; José Hernández-Orallo (CoRR, 2025)