| | --- |
| | license: mit |
| | --- |
| | |
| | # Datasets used in 'Verification of the Implicit World Model in a Generative Model via Adversarial Sequences' (ICLR 2026). |
| |
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| | This repo contains 6 datasets of chess games in the UCI notation that were used in the experiments of the paper. |
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| | The `vocab` folder contains the vocabulary used in our language modeling tasks. |
| |
|
| | ## Links |
| |
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| | Paper links: |
| | arXiv: [https://arxiv.org/abs/2602.05903](https://arxiv.org/abs/2602.05903) |
| | HuggingFace: [https://huggingface.co/papers/2602.05903](https://huggingface.co/papers/2602.05903) |
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| | All corresponding code and links to further resources are available at [https://github.com/szegedai/world-model-verification](https://github.com/szegedai/world-model-verification) |
| |
|
| | ## Citation |
| |
|
| | If you use our code, models, or datasets, please cite the following: |
| | ``` |
| | @inproceedings{ |
| | balogh2026verification, |
| | title={Verification of the Implicit World Model in a Generative Model via Adversarial Sequences}, |
| | author={Andr{\'a}s Balogh and M{\'a}rk Jelasity}, |
| | booktitle={The Fourteenth International Conference on Learning Representations}, |
| | year={2026}, |
| | url={https://openreview.net/forum?id=BLOIB8CwBI} |
| | } |
| | ``` |
| |
|