We are impressed by your contributions to VLM efficiency and token reduction. Your research aligns closely with the themes explored in our recent paper, "Token Reduction Should Go Beyond Efficiency in Generative Models – From Vision, Language to Multimodality" (available at https://arxiv.org/abs/2505.18227). We would be honored if you would consider including a reference to our work in your future arXiv updates.
We've also created a repository of “Token Reduction and Beyond” (Link) to help advance the field. Feel free to take a look or contribute if you're interested!
Thank You!
We are impressed by your contributions to VLM efficiency and token reduction. Your research aligns closely with the themes explored in our recent paper, "Token Reduction Should Go Beyond Efficiency in Generative Models – From Vision, Language to Multimodality" (available at https://arxiv.org/abs/2505.18227). We would be honored if you would consider including a reference to our work in your future arXiv updates.
We've also created a repository of “Token Reduction and Beyond” (Link) to help advance the field. Feel free to take a look or contribute if you're interested!
Thank You!