Debjit Paul

Hi there! I'm a Research Scientist at Huawei Noah Ark's Lab, London. Previously, I was a Postdoctoral Researcher working with Antoine Bosselut, Boi Faltings, and Robert West at EPFL. Before EPFL, I completed my Ph.D. under the supervision of Anette Frank in the Department of Computational Linguistics at Heidelberg University and was also a part of the Research Training Group AIPHES.
My overarching research objective is to enhance the reasoning capabilities of artificial agents by advancing their ability to understand the complex interplay between language, knowledge representation, and cognitive reasoning processes. To accomplish this goal, I have focused my investigations on three areas:
My overarching research objective is to enhance the reasoning capabilities of artificial agents by advancing their ability to understand the complex interplay between language, knowledge representation, and cognitive reasoning processes. To accomplish this goal, I have focused my investigations on three areas:
- Reasoning with knowledge representations - AI agents must be grounded by knowledge dynamics to generalize to unseen situations robustly. My research has focused on designing computational models capable of reasoning over knowledge.
- Learning to generate explanations for reasoning - When a model explains its decision-making steps or logical steps it took to reach that conclusion, it enhances transparency and helps build trust in the system. My research has focused on designing computational models that generate explanations before making the final decisions.
- Aligning Models with Human or AI Feedback - Text generation models are observed to display undesired and inconsistent behaviours, such as hallucination and unfaithful reasoning. My research has focused on designing methods to rectify the undesired behaviours of text generation models through interaction.
News
May 4, 2025 | One paper, FIPO: Fallacy-Informed Preference Optimisation, won the Outstanding Paper Award 🏆 at NAACL 2025 |
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Jan 23, 2025 | One paper is accepted at ICLR 2025 (INCLUDE) |
Jan 23, 2025 | One paper is accepted at NAACL 2025 (FIPO: Fallacy-Informed Preference Optimization) |
Nov 7, 2024 | Talk at Microsoft Research (MSR), Bangalore, India. |
Sep 22, 2024 | Two papers are accepted at EMNLP 2024 |