Author

Shruthi Gowda

1 paper indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Jul 2026

TORINO: Token Reduction via Interpretable Concept Overlap in Vision-Language Models

This work introduces TORINO (TOken Reduction via Interpretable coNcept Overlap), a plug-and-play framework for adaptive visual token reduction in VLMs that requires no fine-tuning of the underlying model.

Riccardo Renzulli, Gabriele Spadaro, Shruthi Gowda et al. · arXiv.org · 0 citations