CLAP: Direct VLM-to-VLA Adaptation via Language-Action Grounding
Computer Science > Robotics arXiv:2607.08974 (cs) [Submitted on 9 Jul 2026] Title:CLAP: Direct VLM-to-VLA Adaptation via Language-Action Grounding Authors:Yuri Ishitoya, Jeremy Siburian, Masashi Hamaya, Kuniaki Saito, Cristian C. Directly converting pretrained VLMs into VLAs with minimal architectural change offers a more transparent path to understanding how VLM capabilities transfer across model scales. The core obstacle is output-distribution mismatch: predicting actions as bare numeric token sequences moves generation away from the VLM's pretrained language distribution, degrading the capabilities we seek to preserve.
- ▪Computer Science > Robotics arXiv:2607.08974 (cs) [Submitted on 9 Jul 2026] Title:CLAP: Direct VLM-to-VLA Adaptation via Language-Action Grounding Authors:Yuri Ishitoya, Jeremy Siburian, Masashi Hamaya, Kuniaki Saito, Cristian C.
- ▪Directly converting pretrained VLMs into VLAs with minimal architectural change offers a more transparent path to understanding how VLM capabilities transfer across model scales.
- ▪The core obstacle is output-distribution mismatch: predicting actions as bare numeric token sequences moves generation away from the VLM's pretrained language distribution, degrading the capabilities we seek to preserve.
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| Original publisher | arXiv cs.AI |
| Canonical URL | https://arxiv.org/abs/2607.08974 |
| Publication time | Mon, 13 Jul 2026 00:00:00 -0400 |
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Computer Science > Robotics arXiv:2607.08974 (cs) [Submitted on 9 Jul 2026] Title:CLAP: Direct VLM-to-VLA Adaptation via Language-Action Grounding Authors:Yuri Ishitoya, Jeremy Siburian, Masashi Hamaya, Kuniaki Saito, Cristian C. Beltran-Hernandez, Mai Nishimura View a PDF of the paper titled CLAP: Direct VLM-to-VLA Adaptation via Language-Action Grounding, by Yuri Ishitoya and 5 other authors View PDF HTML (experimental) Abstract:Vision-language-action models (VLAs) inherit semantic capabilities from pretrained VLMs, yet large-scale post-training on robot data and architectural modifications can reshape the backbone so extensively that it becomes difficult to isolate what the VLM contributes to control.
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