1. The paper proposes a multimodal framework built atop a frozen Large Language Model (LLM) aimed at seamlessly integrating and managing various modalities. However, this approach seems to be merely an extension of the existing InstructBLIP.
2. Additionally, the concept of extending to multiple modalities, such as the integration of audio and 3D modalities, has already been proposed in prior works like PandaGPT. Therefore, the paper appears to lack sufficient novelty in both concept and methodology.
3. In Table 1, there is a noticeable drop in performance for X-InstructBLIP. Could you please clarify the reason behind this? If this drop is due to competition among different modalities, do you propose any solutions to mitigate this issue?
4. The promised dataset has not yet been made publicly available, so a cautious approach should be taken regarding this contribution until the dataset is openly accessible.
4. The promised dataset has not yet been made publicly available, so a cautious approach should be taken regarding this contribution until the dataset is openly accessible.