Subhankar Maity
Orcid: 0009-0001-1358-9534
According to our database1,
Subhankar Maity
authored at least 26 papers
between 2023 and 2025.
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Bibliography
2025
STRIVE: A Think & Improve Approach with Iterative Refinement for Enhancing Question Quality Estimation.
CoRR, April, 2025
Towards Smarter Hiring: Are Zero-Shot and Few-Shot Pre-trained LLMs Ready for HR Spoken Interview Transcript Analysis?
CoRR, April, 2025
Leveraging Prompt-Tuning for Bengali Grammatical Error Explanation Using Large Language Models.
CoRR, April, 2025
Comput. Educ. Artif. Intell., 2025
2024
Investigating Large Language Models for Prompt-Based Open-Ended Question Generation in the Technical Domain.
SN Comput. Sci., December, 2024
CryptoLLM: Unleashing the Power of Prompted LLMs for SmartQnA and Classification of Crypto Posts.
CoRR, 2024
CoRR, 2024
CoRR, 2024
RetrieveGPT: Merging Prompts and Mathematical Models for Enhanced Code-Mixed Information Retrieval.
CoRR, 2024
Prompt Engineering Using GPT for Word-Level Code-Mixed Language Identification in Low-Resource Dravidian Languages.
CoRR, 2024
MIRROR: A Novel Approach for the Automated Evaluation of Open-Ended Question Generation.
CoRR, 2024
CoRR, 2024
Rethinking Legal Judgement Prediction in a Realistic Scenario in the Era of Large Language Models.
CoRR, 2024
The Future of Learning in the Age of Generative AI: Automated Question Generation and Assessment with Large Language Models.
CoRR, 2024
How Effective is GPT-4 Turbo in Generating School-Level Questions from Textbooks Based on Bloom's Revised Taxonomy?
CoRR, 2024
Leveraging In-Context Learning and Retrieval-Augmented Generation for Automatic Question Generation in Educational Domains.
Proceedings of the 16th Annual Meeting of the Forum for Information Retrieval Evaluation, 2024
Exploring the Capabilities of Prompted Large Language Models in Educational and Assessment Applications.
Proceedings of the 17th International Conference on Educational Data Mining, 2024
How Ready Are Generative Pre-trained Large Language Models for Explaining Bengali Grammatical Errors?
Proceedings of the 17th International Conference on Educational Data Mining, 2024
A Novel Multi-Stage Prompting Approach for Language Agnostic MCQ Generation Using GPT.
Proceedings of the Advances in Information Retrieval, 2024
2023
Questioning Biases in Case Judgment Summaries: Legal Datasets or Large Language Models?
CoRR, 2023
Harnessing the Power of Prompt-based Techniques for Generating School-Level Questions using Large Language Models.
Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023
Proceedings of the Working Notes of FIRE 2023, 2023
Prompted Zero-Shot Multi-label Classification of Factual Incorrectness in Machine-Generated Summaries.
Proceedings of the Working Notes of FIRE 2023, 2023