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Cor-Paul Bezemer

3 accepted papers

2025

VideoGameQA-Bench: Evaluating Vision-Language Models for Video Game Quality Assurance

NeurIPS 2025poster

With video games leading in entertainment revenues, optimizing game development workflows is critical to the industry’s long-term success. Recent advances in vision-language models (VLMs) hold significant potential to automate and enhance various aspects of game development—particularly video game q…

Cited by 0SourceScholar
2024

GlitchBench: Can Large Multimodal Models Detect Video Game Glitches?

CVPR 2024poster

Large multimodal models (LMMs) have evolved from large language models (LLMs) to integrate multiple input modalities such as visual inputs. This integration augments the capacity of LLMs for tasks requiring visual comprehension and reasoning. However the extent and limitations of their enhanced abil…

2023

ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification

NeurIPS 2023poster

Image classifiers are information-discarding machines, by design. Yet, how these models discard information remains mysterious. We hypothesize that one way for image classifiers to reach high accuracy is to first zoom to the most discriminative region in the image and then extract features from ther…