Instruction-guided visual embeddings and feedback-based learning in large vision-language models
US12411879B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 23, 2024 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | Oct 23, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/532
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example, a method for fine-tuning a Large Visual Language Model (LVLM) includes providing visual queries, each of the visual queries comprises at least an image and a textual query related to the image; processing, by the LVLM, the visual queries to extract visual embeddings from the visual queries, wherein the LVLM comprises a Visual Language Model (VLM), a first Large Language Model (LLM), and a linear projection layer interconnecting the VLM and the LLM; for visual queries: i) generating, by the LVLM, a response to the corresponding visual query based on the corresponding visual embedding; ii) evaluating, by a second LLM, the generated response to verify that the generated response satisfies predefined criteria; and iii) providing, by the second LLM, a feedback to the LVLM, in response to the evaluating the generated response; and fine-tuning the LVLM using aggregated feedback provided by the second LLM for the visual queries.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.