Marko Tesic - RankMe

16 papers A* 2B 5Journal 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond the high score: Prosocial ability profiles of multi-agent populations. CoRR Marko Tesic, Yue Zhao, Joel Z. Leibo, Rakshit S. Trivedi, José Hernández-Orallo
2025	J	`jnl`	Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia. CoRR Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit S. Trivedi, Alexander Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P. Agapiou, Jayd Matyas, Danny Karmon, Dylan Hadfield-Menell, Natasha Jaques, Tim Baarslag, José Hernández-Orallo, Joel Z. Leibo
2025	A*	`conf`	Paradigms of AI Evaluation: Mapping Goals, Methodologies and Culture. IJCAI John Burden, Marko Tesic, Lorenzo Pacchiardi, José Hernández-Orallo
2025	J	`jnl`	Paradigms of AI Evaluation: Mapping Goals, Methodologies and Culture. CoRR John Burden, Marko Tesic, Lorenzo Pacchiardi, José Hernández-Orallo
2024	J	`jnl`	A little less conversation, a little more action, please: Investigating the physical common-sense of LLMs in a 3D embodied environment. CoRR Matteo G. Mecattaf, Ben Slater, Marko Tesic, Jonathan E. Prunty, Konstantinos Voudouris, Lucy G. Cheke
2024	J	`jnl`	Leaving the barn door open for Clever Hans: Simple features predict LLM benchmark answers. CoRR Lorenzo Pacchiardi, Marko Tesic, Lucy G. Cheke, José Hernández-Orallo
2024	A*	`conf`	Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence. NeurIPS Rakshit S. 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, Jiawei Huang, Benjamin Swain, Haoyuan Qin, Mian Deng, Ziwei Deng, Utku Erdoganaras, Yue Zhao, Marko Tesic, Natasha Jaques, Jakob N. Foerster, Vincent Conitzer, José Hernández-Orallo, Dylan Hadfield-Menell, Joel Z. Leibo
2024	B	`conf`	Testing the Maximum Entropy Approach to Awareness Growth in Bayesian Epistemology and Decision Theory. CogSci Rafael Fuchs, Marko Tesic, Ulrike Hahn
2023	B	`conf`	Causal Structure and Argumentative Value. CogSci Ulrike Hahn, Borut Trpin, Stephan Hartmann, Marko Tesic, Anita Keshmirian, Corina Strößner
2022	J	`jnl`	Can counterfactual explanations of AI systems' predictions skew lay users' causal intuitions about the world? If so, can we correct for that? CoRR Marko Tesic, Ulrike Hahn
2022	J	`jnl`	Can counterfactual explanations of AI systems' predictions skew lay users' causal intuitions about the world? If so, can we correct for that? Patterns Marko Tesic, Ulrike Hahn
2022	—	`ch.`	Explanation in AI systems. Human-Like Machine Intelligence Marko Tesic, Ulrike Hahn
2020	B	`conf`	Human-Generated Explanations of Inferences in Bayesian Networks: A Case Study. CogSci Marko Tesic, Ulrike Hahn
2019	J	`jnl`	Confirmation and the generalized Nagel-Schaffner model of reduction: a Bayesian analysis. Synth. Marko Tesic
2019	B	`conf`	Sequential diagnostic reasoning with independent causes. CogSci Marko Tesic, Ulrike Hahn
2018	B	`conf`	Explaining away: significance of priors, diagnostic reasoning and structural complexity. CogSci Alice Liefgreen, Marko Tesic, David A. Lagnado