Subhankar Maity
Scholar

Subhankar Maity

Google Scholar ID: O-er9aoAAAAJ
Postdoctoral Researcher, ECE Paris
Natural Language ProcessingAI in EducationLarge Language ModelsGenerative AIData Provenance
Citations & Impact
All-time
Citations
391
 
H-index
12
 
i10-index
13
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • 1. A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation Using GPT [ECIR 2024]
  • 2. Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language Models [FIRE 2023]
  • 3. How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors? [EDM 2024]
  • 4. Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications [EDM 2024]
  • 5. How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom’s Revised Taxonomy? [L@S 2024]
  • 6. Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models [NLLP 2024]
  • 7. MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation [NeurIPS Workshop]
Research Experience
  • 1. Postdoctoral Researcher at ECE Paris LyRIDS Lab, collaborating with Prof. Guilherme MEDEIROS MACHADO, Prof. Faiza BELBACHIR, and Prof. Omar BOUCELMA's team, focusing on Generative AI and Data Traceability.
  • 2. Human Frontier Collective Fellow at Scale AI, remote internship for 3 months, designed domain-specific problems and datasets to test cutting-edge generative AI models, provided feedback to improve model accuracy, robustness, and overall performance.
Education
  • Ph.D. in Artificial Intelligence from Indian Institute of Technology Kharagpur, under the guidance of Prof. Sudeshna Sarkar, focusing on the intersection of Generative AI and Education.
Background
  • Research Interests: Generative AI and Data Traceability, Natural Language Processing, with a particular emphasis on leveraging Large Language Models (LLMs) in various domains such as legal, healthcare, social media, and beyond. Brief Introduction: Committed to advancing the frontiers of AI and its real-world applications.
Miscellany
  • Participated in a collaborative study on scientific writing led by researchers from Ohio State University, University of Utah, and Allen Institute for AI. Served as a Perplexity Campus Partner for IIT Kharagpur, bringing the innovative Comet browser to campus.
Co-authors
0 total
Co-authors: 0 (list not available)