Hi, I am Niyar R. Barman, an M2 student in Interactions de l’Informatique et des Mathématiques pour l’IA at Université de Toulouse. My work focuses on natural language processing with a particular interest in improving the reasoning abilities of large language models. In parallel, I am also engaged in mechanistic interpretability and developing my skills in CUDA programming. I am motivated by the intersection of theory and practice, designing models that not only perform well but also reason transparently.
I am open to research and industry opportunities starting after July 2026.
You can reach out to me at: niyar-r.barman[at]utoulouse[.]fr
🔥 News
- Sept 2025: 🎉🎉 Started Masters in Université de Toulouse, France
- July 2024: 🎉🎉 Started research internship at IRIT, France
- Jan 2023: 🎉🎉 Started research internship at the Artificial Intelligence Institute of University of South Carolina, USA
- Dec 2021: 🎉🎉 Started Bachelors in National Institute of Technology Silchar, India
📝 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)
- This work explores how discourse structures can be used as supervision for improving mathematical reasoning in large language models.
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)
- Introduces the AI Detectability Index and challenges current approaches to AI-generated text detection.
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The Brittleness of Image Watermarking Techniques: Investigating Visual Paraphrasing for De-Watermarking AI-Generated Images, Niyar R Barman, Krish Sharma, Ashhar Aziz, Shashwat Bajpai, Shwetangshu Biswas, Aman Chadha, Vasu Sharma, Amitava Das, arXiv 2024
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A Transformer-Based Approach to Automate Disease Prediction from Patient Descriptions, Niyar R Barman, Krish Sharma, Ranjay Hazra, IEEE CICT 2023
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Addressing Hate Speech: ATLANTIS for Efficient Hate Span Detection, Niyar R Barman, Krish Sharma, Yashraj Poddar, Adwaitha Vatupal, Partha Pakray, FIRE 2023
📖 Education
- 2025 - 2026, M2 Master Interactions de l’Informatique et des Mathématiques pour l’IA, Université de Toulouse, France
- 2021 - 2025, Bachelors of Technology in Electronics and Communication Engineering, National Institute of Technology Silchar, India
💻 Research Experience
- May 2024 - Jul 2024, Jan 2025 - Mar 2025, Research Intern, Institut de Recherche en Informatique de Toulouse, France
- Jan 2023 - Dec 2024, Research Intern, Artificial Intelligence Institute of University of South Carolina, United States