Sankalan Pal Chowdhury

Orcid: 0009-0005-8661-041X

According to our database1, Sankalan Pal Chowdhury authored at least 16 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
PATS: Personality-Aware Teaching Strategies with Large Language Model Tutors.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

Tackling the Root of Misinformation by Teaching Laypeople about Logical Fallacies via Socratic Questioning and Critical Argumentation.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Multilingual Performance Biases of Large Language Models in Education.
CoRR, April, 2025

Are Large Language Models for Education Reliable Across Languages?
Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications, 2025

Educators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting.
Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications, 2025

Large Language Models for Education: Understanding the Needs of Stakeholders, Current Capabilities and the Path Forward.
Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications, 2025

GPT-4 as a Homework Tutor Can Improve Student Engagement and Learning Outcomes.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Scaling the Authoring of AutoTutors with Large Language Models.
CoRR, 2024

AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails.
Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022
Learning the Transformer Kernel.
Trans. Mach. Learn. Res., 2022

2020
MaskAAE: Latent space optimization for Adversarial Auto-Encoders.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

DeepSearch: a simple and effective blackbox attack for deep neural networks.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

2019
Towards Latent Space Optimality for Auto-Encoder Based Generative Models.
CoRR, 2019

DeepSearch: Simple and Effective Blackbox Fuzzing of Deep Neural Networks.
CoRR, 2019


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