| --- |
| license: mit |
| pretty_name: Evolving Agent Interfaces – Synthetic Tasks |
| task_categories: |
| - other |
| tags: |
| - computer-use |
| - osworld |
| - scienceboard |
| --- |
| |
| # Evolving Agent Interfaces – Synthetic Tasks |
|
|
| Synthetic training tasks from the paper [*Evolving Agent Interfaces*](https://arxiv.org/abs/2610.28601). The tasks are ungraded: they have no success labels and no reference solutions. |
|
|
| Code: https://github.com/simular-ai/agent-s |
|
|
| | File | Tasks | Benchmark | |
| |---|---:|---| |
| | `osworld_synthetic.tar.xz` | 30 | OSWorld V2 | |
| | `scienceboard_synthetic.tar.xz` | 50 | ScienceBoard | |
|
|
| - The paper uses 48 of the 50 ScienceBoard tasks. It excludes `sb_grassgis_010` and `sb_chimerax_006` because they fail during setup. |
| - Setup steps are in the README inside each archive. |
|
|
| ## Citation |
|
|
| ```bibtex |
| @misc{agashe2026evolvingagentinterfaces, |
| title={Evolving Agent Interfaces}, |
| author={Saaket Agashe and Yuzhe Yang and Gonzalo Gonzalez-Pumariega and Bhuvan Chandra Koduru and Chih-Lun Li and Jiachen Yang and Ang Li and Xin Eric Wang}, |
| year={2026}, |
| eprint={2610.28601}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.AI}, |
| url={https://arxiv.org/abs/2610.28601}, |
| } |
| ``` |
