Sankalan Pal Chowdhury

According to our database, Sankalan Pal Chowdhury authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Educators' Perceptions of Large Language Models as Tutors: Comparing Human and AI Tutors in a Blind Text-only Setting.

Sankalan Pal Chowdhury, Terry Jingchen Zhang, Donya Rooein, Dirk Hovy, Tanja Käser, Mrinmaya Sachan

CoRR, June, 2025

Multilingual Performance Biases of Large Language Models in Education.

Vansh Gupta, Sankalan Pal Chowdhury, Vilém Zouhar, Donya Rooein, Mrinmaya Sachan

CoRR, April, 2025

GPT-4 as a Homework Tutor Can Improve Student Engagement and Learning Outcomes.

Alessandro Vanzo, Sankalan Pal Chowdhury, Mrinmaya Sachan

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.

Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan

CoRR, 2024

AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails.

Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan

Proceedings of the Eleventh ACM Conference on Learning @ Scale, 2024

Book2Dial: Generating Teacher Student Interactions from Textbooks for Cost-Effective Development of Educational Chatbots.

Junling Wang, Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Mrinmaya Sachan

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.

Jakub Macina, Nico Daheim, Sankalan Pal Chowdhury, Tanmay Sinha, Manu Kapur, Iryna Gurevych, Mrinmaya Sachan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Learning the Transformer Kernel.

Sankalan Pal Chowdhury, Adamos Solomou, Kumar Avinava Dubey, Mrinmaya Sachan

Trans. Mach. Learn. Res., 2022

2020

MaskAAE: Latent space optimization for Adversarial Auto-Encoders.

Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Himanshu Asnani, Parag Singla, Prathosh A. P.

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

DeepSearch: a simple and effective blackbox attack for deep neural networks.

Fuyuan Zhang, Sankalan Pal Chowdhury, Maria Christakis

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.

Arnab Kumar Mondal, Sankalan Pal Chowdhury, Aravind Jayendran, Parag Singla, Himanshu Asnani, Prathosh A. P.

CoRR, 2019

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

Fuyuan Zhang, Sankalan Pal Chowdhury, Maria Christakis

CoRR, 2019