Yusuf Ali
756 W Peachtree St NW
CODA Building
Atlanta, Georgia, USA
Hi! I am a PhD student at the School of Interactive Computing, Georgia Tech working with Prof. Zsolt Kira . My research focuses on improving foundation models at test time without relying on large-scale data collection, heavy fine-tuning, or sacrificing general model capabilities in diverse application domains. Most recently, I have explored this problem in the context of embodied VLA models. I have also studied the capabilities and limitations of frontier multimodal LLMs in settings that require long-horizon memory and robust performance in low-data domains. My current work investigates how minimal and targeted test-time updates, particularly through reinforcement learning, can improve VLA performance and multimodal video reasoning. Please reach out if you would like to discuss ideas or collaborate !
news
| Jun 2026 | Will present EVE as a Lightning Talk at ICRA 2026 SRRA Workshop ! |
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| Jun 2026 | We release K9-Bench where we evaluate MLLMs on long-horizon canine activity videos ! |
| Dec 2025 | We propose EVE that improves performance of VLA-style generative policies at test-time ! |
| Sep 2025 | Will present FindingDory at NeurIPS 2025 SpaVLE Workshop ! |
| Jun 2025 | We release FindingDory: A Benchmark to Evaluate Memory in Embodied Agents ! |
| Apr 2025 | Passed PhD Qualifying Exam ! |
| Nov 2023 | Presented real-world demo of leveraging VLMs for embodied navigation at CoRL 2023, Atlanta ! |
| Aug 2023 | Started Robotics Ph.D. program at Georgia Tech! |