Subhankar Maity

About

I'm a postdoctoral researcher at LyRIDS, ECE Paris, working under the GAIA axis (Group for Responsible Approaches in Artificial Intelligence) within the Computer Science and Systems Laboratory (UMR-CNRS) of Aix-Marseille University (AMU) and the University of Toulon (UTLN). Our research centers on Generative AI and Data Traceability, exploring responsible and transparent approaches to artificial intelligence.

Before that, I was a doctoral fellow at the Department of Artificial Intelligence, Indian Institute of Technology, Kharagpur. My research focused on the transformative potential of Generative AI in education. I am also passionate about Natural Language Processing, leveraging Large Language Models to address challenges in domains such as healthcare, legal, and social media.

Employment

• ECE Paris Postdoctoral Researcher
  2025 - Present
• Indian Institute of Technology Kharagpur Doctoral Researcher
  2020 - 2025

Education

• Indian Institute of Technology Kharagpur Ph.D.
  2020 - 2025
• National Institute of Technology Raipur M.Tech.
  2018 - 2020
• Maulana Abul Kalam Azad University of Technology, West Bengal B.Tech.
  2013 - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (18)

• Can large language models meet the challenge of generating school-level questions?
  Computers and Education: Artificial Intelligence 2025 DOI: 10.1016/j.caeai.2025.100370
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• Cancer-Answer: Empowering Cancer Care with Advanced Large Language Models
  2025 DOI: 10.36227/techrxiv.173155839.95409088/v2
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• Large Language Models in Healthcare and Medical Applications: A Review
  Bioengineering 2025 DOI: 10.3390/bioengineering12060631
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• A Short Case Study on Understanding the Capabilities of GPT for Temporal Reasoning Tasks
  2024 DOI: 10.36227/techrxiv.172254469.99350981/v1
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• Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models
  Proceedings of the Natural Legal Language Processing Workshop 2024 2024 DOI: 10.18653/v1/2024.nllp-1.6
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• A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation Using GPT
  2024 DOI: 10.1007/978-3-031-56063-7_18
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• How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors?
  2024 DOI: 10.36227/techrxiv.171665626.60610675/v1
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• How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors?
  2024 DOI: 10.5281/ZENODO.12729912
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• Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications
  2024 DOI: 10.5281/ZENODO.12730013
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• Question Generation: Past, Present & Future
  2024 DOI: 10.36227/techrxiv.172254480.06572792/v1
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