Taki Hasan Rafi

I am a Ph.D. Candidate in Computer Science at Hanyang University, working in the Data Intelligence Lab with Prof. Dong-Kyu Chae. I am also co-advised by Prof. Junegak Joung from the Department of Industrial Data Engineering (IDE), Hanyang University. My Ph.D. is supported by Brain Korea 21 (NRF). Previously, my Ph.D. was partially supported by Samsung Electronics. I was a research collaborator with Oracle, USA. Before joining Hanyang, I obtained a bachelor's degree in Electrical Engineering from AUST in 2021.

My research primarily focuses on Trustworthy AI, aiming to build efficient, reliable, robust, and safe intelligent systems for a variety of applications. More specifically, my Ph.D. research includes:

Efficient Post-Training
Test-Time Adaptation [WACV'26 (Oral), CIKM'25]
Evaluation of LLMs and VLMs [ACL'25a (Oral), ACL'25b, NAACL'25]

Contact: takihr@hanyang.ac.kr (Official) | takihasanrafi@gmail.com (Permanent)
Office: 709, R&D Building-I, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763

Call For Papers: GRAIL-V Workshop at CVPR 2026! Please consider submitting your work on multimodal retrieval, agentic planning, generative handling, and more! More details: https://grailworkshops.github.io/. Deadline: 5th March, 2026!

Selected Papers

Full List is here!

	Learning from Unknown for Open-Set Test-Time Adaptation Taki Hasan Rafi, Amit Agarwal, Hitesh L. Patel, Dong-Kyu Chae 🏆 WACV 2026 (Oral, 85/2550 ~ A/R: 3.3%) Test-Time [paper]
	Towards Robust Continual Test-Time Adaptation via Neighbor Filtration Taki Hasan Rafi, Amit Agarwal, Hitesh L. Patel, Dong-Kyu Chae CIKM 2025 (185/604 ~ A/R: 30.6%) Test-Time [paper]
	Crowdsource, Crawl, or Generate? Creating SEA-VL, a Multicultural Vision-Language Dataset for Southeast Asia Samuel Cahyawijaya et al. (with Taki Hasan Rafi) 🏆 ACL 2025 (Main, Oral) Evaluation [paper]
	MVTamperBench: Evaluating Robustness of Vision-Language Models Amit Agarwal et al. (with Taki Hasan Rafi) ACL 2025 (Findings) Evaluation [paper]
	SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use Hitesh Laxmichand Patel et al. (with Taki Hasan Rafi) NAACL 2025 (Industry) Evaluation [paper]