jmri20@bath.ac.uk
I currently work on the intersection of AI and NLP, specifically in the areas of safety, compliance, and evaluation of large language models (LLMs). As AI systems continue to evolve and become increasingly capable over time, I believe it is crucial to align them with our regulations, policies, and values to reduce the possibilities of catastrophic risks and domain-specific harms. My work is often published across high-impact conferences, such as *ACL, EMNLP, ICML, as well as their corresponding workshops.
On the sidelines, I'm extremely active in collaborating with researchers and contributing to various AI and NLP community projects and initiatives. Some of the works I have contributed to are: SEACrowd's Data Catalogue and SEA VL Dataset, CAIS' Humanity's Last Exam, MLCommons' AILuminate, Cohere for AI's Project Aya, and many more.
Before moving to the UK, I worked as a Senior NLP Researcher at Human Language Technology (HLT) Lab at National University in the Philippines. I'm currently on study leave at NU.
I'm thrilled to have been awarded the Pivotal Research Fellowship, which will support my work on compliance dynamics of frontier AI models. I will work with Prof. Noam Kolt and will be based at the London Initiative for Safe AI (LISA) Office starting February 2026.
I reached 1,000 citations from Google Scholar.
Both UniversalCEFR and FilBench have been accepted to EMNLP 2025 (Main).
Our SEA-VL Project has been accepted to ACL 2025 (Main).
I joined the British Standards Institution (BSI) as a committee member and UK national expert for the AI working group, ART/1, mirroring CEN-CENELEC's Joint Task Force 21 towards developing standards for AI.
Our INCLUDE Project has been accepted at ICLR 2025 (Spotlight).
Please check my Google Scholar for the complete list.
Under Review, Paper
Joseph Marvin Imperial*, Matthew Jones, and Harish Tayyar Madabushi
Under Review, Paper
Joseph Marvin Imperial* and Harish Tayyar Madabushi
EMNLP 2025 (Main), Project Page
Joseph Marvin Imperial*, Abdullah Barayan, Regina Stodden, Rodrigo Wilkens, Ricardo Munoz Sanchez, Lingyun Gao, Melissa Torgbi, Dawn Knight, Gail Forey, Reka R. Jablonkai, Ekaterina Kochmar, Robert Reynolds, Eugenio Ribeiro, Horacio Saggion, Elena Volodina, Sowmya Vajjala, Thomas Francois, Fernando Alva-Manchego, Harish Tayyar Madabushi.
EMNLP 2024 (Main), Project Page
Joseph Marvin Imperial*, Gail Forey, and Harish Tayyar Madabushi
ICML 2024 (Oral), Paper
Francisco Eiras, Aleksandar Petrov, Bertie Vidgen, Christian Schroeder de Witt, Fabio Pizzati, Katherine Elkins, Supratik Mukhopadhyay, Adel Bibi, Botos Csaba, Fabro Steibel, Fazl Barez, Genevieve Smith, Gianluca Guadagni, Jon Chun, Jordi Cabot, Joseph Marvin Imperial*, Juan A. Nolazco-Flores, Lori Landay, Matthew Jackson, Paul Röttger, Philip H.S. Torr, Trevor Darrell, Yong Suk Lee, Jakob Foerster
EMNLP-GEM 2023, Paper
Joseph Marvin Imperial* and Harish Tayyar Madabushi
Research Fellow
Pivotal Research, London Initiative for Safe AI (2026)
Working on legal alignment and compliance dynamics under Prof. Noam Kolt (GOAL). This is a non-internship research program.
Senior NLP Researcher
National University Philippines (2018 - on study leave)
Managed the NU HLT Lab, which housed undergraduate students working on NLP projects, and collaborated with industry partners on NLP use cases in education and food nutrition.
Research Fellow
National University Philippines and Philippine-California Advanced Research Institutes (2017 - 2018)
Worked on the E-Participation 2.0: Connective Diverse Philippine Populations for Disaster Risk Management with a Toolkit Integrating Text and Speech Analytics, a two-year collaborative project with the University of California, Berkeley.
Ph.D. in Accountable, Responsible, and Transparent AI (ART-AI)
University of Bath, UK (2022 - ongoing)
Working on the compliance dynamics and alignment of LLMs with multi-domain policies and regulations. Supervised by Dr. Harish Tayyar Madabushi and Dr. Gail Forey.
Supported by UKRI Doctoral Fellowship, Pivotal Research Fellowship, and the National University Study Grant Program.
M.S. in Computer Science
De La Salle University, Philippines (2018 - 2021)
Conducted the most extensive set of explorations of linguistic features for machine learning-based Filipino readability classification under the guidance of Dr. Ethel Ong.
Supported by the DLSU St. La Salle Scholarship and the National University Study Grant Program.
Pivotal Research Fellowship
Pivotal Research and London Initiative for Safe AI (2025)
Doctoral Recognition Award
University of Bath (2024)
Researcher of the Year Award
National University Philippines (2023)
Outstanding Reviewer Award
ICML (2024), ACL (2023)
UKRI Doctoral Fellowship
UK Research and Innovation (2022)
Google AI and Tensorflow Grant
Google (2021)