Unified Reinforcement and Imitation Learning for Vision-Language Models research paper by NVIDIA, 2025
NVIDIA · Oct 22, 2025 · Multimodal and robotics · 11 citations · 32 upvotes · unverified
What it shows
A unified reinforcement and imitation learning algorithm creates efficient, lightweight vision-language models that match or exceed leading VLMs in performance.
UnverifiedHugging Face's summary; not yet checked by hand.
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TopicAbout this paper
- Authors
- Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro and 2 more
- arXiv
- 2510.19307 · PDF
- Venue
- Neural Information Processing Systems
- Citations
- 11, 0 influential · Semantic Scholar
- Upvotes
- 32 · Hugging Face
- Lab
- NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf
Changes
| What changed | |
|---|---|
| Sep 25, 2026 | Influential citationsfirst count: 0Sep 25, 2026 |
| Sep 25, 2026 | Citationsfirst count: 11Sep 25, 2026 |
| Sep 25, 2026 | New paperFound by the weekly scan, unverifiedSep 25, 2026 |
Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.