Gracjan Góral

Gracjan Góral

Knows everything… except the /ˈlæŋ.ɡwɪdʒ/
PhD candidate · University of Warsaw · Artificial Intelligence · Mathematics

Former math student, now exploring the boundaries between mathematics, artificial intelligence, and language. My work focuses on language models and their ability to reason, reflect, and sometimes hallucinate.

My research is rarely done alone – I share my home office with five cats ("the demons"), who are convinced every keyboard was made for them.

I am fascinated by the intersection of psychology and AI. In particular, I apply psychological frameworks and experimental paradigms to study, challenge, and sometimes surprise artificial models.

Publications

LLMs

Wait, That’s Not an Option: LLMs Robustness with In-correct Multiple-Choice Options
Gracjan Góral, Emilia Wiśnios, Piotr Sankowski, Paweł Budzianowski
Explores LLMs' threshold between following instruction and accuracy.
arXiv · Project Website
Accepted at The 63rd Annual Meeting of the Association for Computational Linguistics

VLMs

Seeing Through Their Eyes: Evaluating Visual Perspective Taking in Vision Language Models
Gracjan Góral, Alicja Ziarko, Michal Nauman, Maciej Wołczyk
Investigates VLMs' perspective-taking abilities, benchmarking 12 models.
arXiv · Project Website
Accepted at Workshop on Responsibly Building the Next Generation of Multimodal Foundational Models, NeurIPS 2024
Beyond Recognition: Evaluating Visual Perspective Taking in Vision Language Models
Gracjan Góral, Alicja Ziarko, Piotr Miłoś, Michał Nauman, Maciej Wołczyk, Michał Kosiński
Evaluates VLMs’ performance on controlled perspective-taking tasks, finding strong scene understanding but lower accuracy on spatial reasoning and VPT.
arXiv · Project Website: Coming soon
Submitted

Planning

What Matters in Hierarchical Search for Combinatorial Reasoning Problems?
Michał Zawalski, Gracjan Góral, Michał Tyrolski, Emilia Wiśnios, Franciszek Budrowski, Marek Cygan, Łukasz Kuciński, Piotr Miłoś
Analyzes subgoal-planning effectiveness in combinatorial reasoning problems.
arXiv · Project Website: Coming soon
Accepted at Generative Models for Decision Making Workshop, ICLR 2024

Datasets

The Isle (I spy with my little eye)
The Isle dataset enables research on visual perspective taking, scene understanding, and spatial reasoning, with over 4.5k downloads.
BlenderGaze
The BlenderGaze expands the Isle dataset in scale to further investigate visual perspective taking in VLMs.

Blog Posts

Building Trust With Invisible Robots
Gracjan Góral
From domestic humanoids to the open-source.