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Gursimran Singh

2 accepted papers

2025

DivPrune: Diversity-based Visual Token Pruning for Large Multimodal Models

CVPR 2025poster

Large Multimodal Models (LMMs) have emerged as powerful models capable of understanding various data modalities, including text, images, and videos. LMMs encode both text and visual data into tokens that are then combined and processed by an integrated Large Language Model (LLM). Including visual to…

2025

Efficiently Serving Large Multimodal Models Using EPD Disaggregation

ICML 2025poster

Large Multimodal Models (LMMs) extend Large Language Models (LLMs) by handling diverse inputs such as images, audio, and video, but at the cost of adding a multimodal encoding stage that increases both computational and memory overhead. This step negatively affects key Service Level Objectives (SLOs…