I am a Ph.D. Candidate in Computer Science at Hanyang University, working in the Data Intelligence Lab with Prof. Dong-Kyu Chae. 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 reliable, robust, and safe intelligent systems for a variety of applications. More specifically, my Ph.D. research includes:
- Post-Training at Inference Time
- Test-Time Adaptation
- Evaluation of LLMs and VLMs
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!
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Learning from Unknown for Open-Set Test-Time Adaptation Taki Hasan Rafi, Amit Agarwal, Hitesh L. Patel, Dong-Kyu Chae 🏆 WACV 2026 (Oral) Test-Time [paper] |
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Towards Robust Continual Test-Time Adaptation via Neighbor Filtration Taki Hasan Rafi, Amit Agarwal, Hitesh L. Patel, Dong-Kyu Chae CIKM 2025 (Short) Test-Time [paper] |
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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] |
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MVTamperBench: Evaluating Robustness of Vision-Language Models Amit Agarwal et al. (with Taki Hasan Rafi) ACL 2025 (Findings) Evaluation [paper] |
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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] |