Marko Tesic

Researcher, UK Department for Science, Innovation and Technology

Joined

June 2024

Names

Marko Tesic (Preferred)

Emails

****@bbk.ac.uk (Confirmed)

****@cam.ac.uk (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Researcher

UK Department for Science, Innovation and Technology (dsit.gov.uk)

2025 – Present

Postdoc

University of Cambridge (cam.ac.uk)

2023 – 2025

Postdoc

Birkbeck College, University of London (bbk.ac.uk)

2021 – 2023

Advisors, Relations & Conflicts

Postdoc Advisor

Ulrike Hahn

2021 – 2023

Expertise

Benchmark validity

Present

LLM evaluation

2023 – 2025

explainable AI

2021 – 2023

psychology of explanation

2021 – 2023

cognitive science

2021 – 2023

Publications

Evaluating Generalization Capabilities of LLM-Based Agents in Mixed-Motive Scenarios Using Concordia
Chandler Smith, Marwa Abdulhai, Manfred Diaz, Marko Tesic, Rakshit Trivedi, Sasha Vezhnevets, Lewis Hammond, Jesse Clifton, Minsuk Chang, Edgar A. Duéñez-Guzmán, John P Agapiou, Jayd Matyas, Danny Karmon, Beining Zhang, Jim Dilkes, Akash Kundu, Jord Nguyen, Emanuel Tewolde, Jebish Purbey, Ram Mohan Rao Kadiyala et al. (66 additional authors not shown)
- NeurIPS 2025 Datasets and Benchmarks Track poster
- Readers: Everyone
Leaving the barn door open for Clever Hans: Simple features predict LLM benchmark answers
Lorenzo Pacchiardi, Marko Tesic, Lucy G Cheke, Jose Hernandez-Orallo
- Submitted to ICLR 2025
- Readers: Everyone
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 Prunty, Konstantinos Voudouris, Lucy G Cheke
- Submitted to ICLR 2025
- Readers: Everyone
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, Sasha Vezhnevets, Barna Pásztor, Yunke Ao, Omar G. Younis, Jiawei Huang, Benjamin Swain, Haoyuan Qin, Mian Deng, Ziwei Deng, Utku Erdoğanaras, Yue Zhao, Marko Tesic et al. (6 additional authors not shown)
- NeurIPS 2024 Track Datasets and Benchmarks Poster
- Readers: Everyone
Causal Structure and Argumentative Value
Ulrike Hahn, Borut Trpin, Stephan Hartmann, Marko Tesic, Anita Keshmirian, Corina Strößner
- CogSci 2023
- Readers: Everyone
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
- CoRR 2022
- Readers: Everyone
Explanation in AI systems
Marko Tesic, Ulrike Hahn
- Human-Like Machine Intelligence 2022
- Readers: Everyone
Human-Generated Explanations of Inferences in Bayesian Networks: A Case Study
Marko Tesic, Ulrike Hahn
- CogSci 2020
- Readers: Everyone
Confirmation and the generalized Nagel-Schaffner model of reduction: a Bayesian analysis
Marko Tesic
- Synth. 2019
- Readers: Everyone

View all 12 publications

Co-Authors

View all 112 co-authors