pith:DANAGOQM
VITA-1.5: Towards GPT-4o Level Real-Time Vision and Speech Interaction
A multi-stage training method allows large language models to handle vision and speech together for near real-time interaction.
arxiv:2501.01957 v4 · 2025-01-03 · cs.CV · cs.SD · eess.AS
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By comparing our method against state-of-the-art counterparts across benchmarks for image, video, and speech tasks, we demonstrate that our model is equipped with both strong visual and speech capabilities, making near real-time vision and speech interaction.
The multi-stage training can be balanced so that speech capabilities are added without degrading the pre-existing vision-language capacity, an assumption stated in the description of the progressive training methodology.
VITA-1.5 integrates vision and speech into a single LLM through multi-stage training, delivering competitive benchmark results on image, video, and speech tasks with near real-time response speed.
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| First computed | 2026-05-17T23:38:13.077493Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/DANAGOQMYSONYCLBHI5VPKZFV3 \
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Canonical record JSON
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