Hi, I am Niyar R. Barman, currently an M2 student in Interactions de l’Informatique et des Mathématiques pour l’IA at Université de Toulouse. I am interested in natural language processing and spend most of my time thinking about how to make large language models reason better. I am also curious about mechanistic interpretability and learning CUDA, still very much a beginner but excited to explore and grow in these areas. I am open to research and industry opportunities starting after July 2026.
You can reach out to me at niyar-r.barman[at]univ-tlse3[.]fr
Education
Université de Toulouse, France (2025 - 2026)
M2 Master Interactions de l’Informatique et des Mathématiques pour l’IA
National Institute of Technology Silchar, India (2021 - 2025)
Bachelors of Technology in Electronics and Communication Engineering
Experience
Research Intern, Institut de Recherche en Informatique de Toulouse, France (May 2024 - Jul 2024, Jan 2025 - Mar 2025)
Research Intern, Artificial Intelligence Institute of University of South Carolina, United States (Jan 2023 - Dec 2024)
Latest Updates
- July 2024: Started my research internship at IRIT, France.
- Jan 2023: Started my research internship at the Artificial Intelligence Institute of University of South Carolina, USA.
Selected Publications
DIMSUM: Discourse in Mathematical Reasoning as a Supervision Module
Niyar R Barman, Krish Sharma, Nicholas Asher, & Akshay Chaturvedi
Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL 2025)
PaperCounter Turing Test CT²: AI-Generated Text Detection is Not as Easy as You May Think — Introducing AI Detectability Index
Megha Chakraborty, S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman, Krish Sharma, Niyar R Barman, Chandan Gupta, Shreya Gautam, Tanay Kumar, Vinija Jain, Aman Chadha, Amit P. Sheth, & Amitava Das
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)
Paper