Auditing Black-Box LLM APIs via Token Probabilities and Data Provenance: A Case Study in Source Code Generation [Subhankar Maity, Faiza Belbachir, Omar Boucelma, Guilherme Medeiros Machado [IEEE International Conference on Web Services (IEEE ICWS), 2026] pdf]
A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation Using GPT [Subhankar Maity, Aniket Deroy, Sudeshna Sarkar [European Conference on Information Retrieval (ECIR), 2024] pdf]
Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language Models [Subhankar Maity, Aniket Deroy, Sudeshna Sarkar [Forum for Information Retrieval Evaluation (FIRE), 2023] pdf]
How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors? [Subhankar Maity, Aniket Deroy, Sudeshna Sarkar [Educational Data Mining (EDM), 2024] pdf]
Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications [Subhankar Maity, Aniket Deroy, Sudeshna Sarkar [Educational Data Mining (EDM), 2024] pdf]
How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom’s Revised Taxonomy? [Subhankar Maity, Aniket Deroy, Sudeshna Sarkar [Learnersourcing: Student-generated Content @ Scale (L@S), 2024] pdf]
Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models [Shubham Kumar Nigam, Aniket Deroy, Subhankar Maity, Arnab Bhattacharya [EMNLP Workshop on Natural Legal Language Processing (NLLP), 2024] pdf]
MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation [Aniket Deroy, Subhankar Maity, Sudeshna Sarkar [NeurIPS Workshop on Large Foundation Models for Educational Assessment (FM-EduAssess), 2024] pdf]
Investigating Large Language Models for Prompt-Based Open-Ended Question Generation in the Technical Domain [Subhankar Maity, Aniket Deroy, Sudeshna Sarkar [SN Computer Science Journal, 2024] pdf]
Leveraging In-Context Learning and Retrieval-Augmented Generation for Automatic Question Generation in Educational Domains [Subhankar Maity, Aniket Deroy, Sudeshna Sarkar [Forum for Information Retrieval Evaluation (FIRE), 2024] pdf]
Can Large Language Models Meet the Challenge of Generating School-Level Questions? [Subhankar Maity, Aniket Deroy, Sudeshna Sarkar [Computers and Education: Artificial Intelligence Journal, 2025] pdf]
Large Language Models in Healthcare and Medical Applications: A Review [Subhankar Maity, Manob Jyoti Saikia [Bioengineering (MDPI) Journal, 2025] pdf]
Generative AI and Its Impact on Personalized Intelligent Tutoring Systems [Subhankar Maity, Aniket Deroy [Preprint, 2024] pdf]
The Future of Learning in the Age of Generative AI: Automated Question Generation and Assessment with Large Language Models [Subhankar Maity, Aniket Deroy [Preprint, 2024] pdf]
Auditing Black-Box LLM APIs via Token Probabilities and Data Provenance: A Case Study in Source Code Generation [Conference Talk at IEEE International Conference on Web Services (IEEE ICWS) | 2026]
Data Provenance and Responsible AI for Social Media Privacy and Workforce Intelligence [Invited Talk at DataCraft Paris | 2026]
MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation [Workshop Talk at FM-EduAssess @ NeurIPS (Large Foundation Models for Educational Assessment @ Neural Information Processing Systems) | 2024 | Slides]
Leveraging In-Context Learning and Retrieval-Augmented Generation for Automatic Question Generation in Educational Domains [Conference Talk at FIRE (Forum for Information Retrieval Evaluation) | 2024 | Slides]
How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom’s Revised Taxonomy? [Workshop Talk at L@S (Learnersourcing: Student-generated Content @ Scale) | 2024 | Slides]
How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors? [Conference Talk at EDM (Educational Data Mining) | 2024 | Poster]
Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications [Doctoral Consortium Talk at EDM (Educational Data Mining) | 2024 | Poster]
How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors? [Invited Talk at HEXED (Human-Centric eXplainable AI in Education) | 2024 | Slides]
A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation Using GPT [Conference Talk at ECIR (European Conference on Information Retrieval) | 2024 | Poster]
Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language Models [Conference Talk at FIRE (Forum for Information Retrieval Evaluation) | 2023 | Slides]