HAI-Lab/LIBERO-Para
LIBERO-Para: A Diagnostic Benchmark and Metrics for Paraphrase Robustness in VLA Models LIBERO-Para is a controlled benchmark for evaluating the paraphrase robustness of Vision-Language-Action (VLA) models. It independently varies action expressions and object references—the two core linguistic components of robotic manipulation instructions—enabling fine-grained analysis of how different types of linguistic variation affect VLA performance. 📄 Paper: arXiv:2603.28301 💻 Code:… See the full description on the dataset page: https://huggingface.co/datasets/HAI-Lab/LIBERO-Para.
| Author / organization | HAI-Lab |
|---|---|
| License (as declared) | mit |
| Downloads | 218 (as reported by Hugging Face) |
| Likes | 9 |
| Created | 6 April 2026 |
| Last updated at source | 6 April 2026 |
Popularity, last 2 days
218 now (-50 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Connected in the knowledge graph
Related papers
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.