
Debdeep Sanyal
Undergraduate Student
KIIT University
I'm a final year undergrad student working with and learning more about Large Language Models. I'm still exploring the vast array of topics, and I try to get my hands dirty with whatever I find interesting (hence my research profile consists of papers that span through quite a few topics.)
I like reasoning, but not the kind that aims at making LLMs score slightly higher on a benchmark; a more general kind, a system that can be used by my mother with the same ease as I do. I am very drawn towards mechanistic interpretability, I like asking why and how when I land on some result or finding which I wasn't expecting, and I love reading about how people look up such answers. I have also been studying reinforcement learning in fair depth recently.
I am currently a research associate intern at the Birla AI Labs, where we are building India's first Time Series Foundation Model, and I contribute to the novelties of the model and the training pipeline. I work with the RespAI Lab where I get to collaborate with some amazing people on my research.
Always looking for more!
Education
KIIT University
B.Tech in Computer Science and Engineering
Publications

EMNLP Mains 2025
Investigating Pedagogical Teacher and Student LLM Agents: Genetic Adaptation Meets Retrieval Augmented Generation Across Learning Style
Debdeep Sanyal, Agniva Maiti, Umakanta Maharana, Dhruv Kumar, Ankur Mali, C. Lee Giles, Murari Mandal
We created a digital sandbox for an AI to practice teaching and discover what truly works for different students.

AAAI 2025
AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs
Debdeep Sanyal, Manodeep Ray, Murari Mandal
We make an LLM robust against malicious fine-tuning by co-evolving it in a game against an adversary model.

EMNLP Findings, EMNLP NLLP Workshop Oral 2025
Nine Ways to Break Copyright Law and Why Our LLM Won't: A Fair Use Aligned Generation Framework
Aakash Sen Sharma, Debdeep Sanyal, Priyansh Srivastava, Sundar Atreya H., Shirish Karande, Mohan Kankanhalli, Murari Mandal
LAW-LM empowers LLMs to generate maximally helpful content while thoughtfully adhering to complex copyright laws.

NeurIPS BERT2S Workshop 2025
time2time: Causal Intervention in Hidden States to Simulate Rare Events in Time Series Foundation Models
Debdeep Sanyal, Aaryan Nagpal, Dhruv Kumar, Murari Mandal, Saurabh Deshpande
We show how to take the essence of a past event, like a market crash, and directly implant it into a TSFM to change how it models the future.

arXiv 2025
OrgAccess: A Benchmark for Role Based Access Control in Organization Scale LLMs
Debdeep Sanyal, Umakanta Maharana, Yash Sinha, Hong Ming Tan, Shirish Karande, Mohan Kankanhalli, Murari Mandal
We introduce a novel, expert-crafted benchmark to test if LLMs can truly understand and respect complex organizational roles and permissions for enterprise use.
Experience
Research Associate Intern — Birla AI Labs
Advisor: Saurabh Deshpande
Developing India's first Time Series Foundation Model. I take care of the novelties to be incorporated in the model and the training pipeline.
