Abhilash is a PhD Scholar at the Department of Computer Science and Engineering, Indian Institute of Technology Kharagpur from September 2020. He is working under the supervision of Prof. Niloy Ganguly and Prof. Pawan Goyal in CNeRG. His research involves building new frameworks for Procedural Comprehension, Question Answering, and exploring methods for training LLMs and Multimodal models in several downstream applications. He is a member of the Complex Network Research Group (CNeRG) as well.Â
He did his B. Tech in Electronics and Electrical Communication Engineering from Indian Institute of Technology, Kharagpur
Proposing a computationally efficient pre-training technique for NLP models.
Leverages document metadata and taxonomy to reduce computational demands.
Maintains performance while mitigating catastrophic forgetting.
Proposing novel pre-training frameworks tailored for procedural text data
Pre-trained models show improved performance on downstream procedural reasoning tasks compared to baselines
Extending this to multimodal scenarios.
Using different domain-specific pre-training techniques for Transformer-based Models
Using Multi Task Learning to improve section retrieval and answer retrieval
Enhancing quality of QA pairs in Community QA Forums
Analysis of different Post-Hoc Explanations for black-box movie recommendation systemsÂ
Developing metrics to measure explainability and faithfulness of the explanations to the original model
Natural Language Processing
AI and Ethics
Complex Network
Scalable Data Mining
Information Retrieval
Advanced Graph Theory
English for Technical Writing
Advanced Machine Learning
NAACL 2024
Abhilash Nandy, Yash Kulkarni, Pawan Goyal, Niloy Ganguly. Order-Based Pre-training Strategies for Procedural Text Understanding [PDF, Code]
Clinical NLP Workshop @ NAACL 2024
Manav Nitin Kapadnis, Sohan Patnaik, Abhilash Nandy, Sourjyadip Ray, Pawan Goyal, Debdoot Sheet. SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models [PDF]
EMNLP 2023 Findings
Abhilash Nandy, Manav Nitin Kapadnis, Pawan Goyal, Niloy Ganguly. CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text [PDF, Code, Explanation Video]
LREC 2022
Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R Raghav, Roshni Kar. An Evaluation Framework for Legal Document Summarization [PDF, Code, Explanation Video]
AAAI-22 workshop on Scientific Document Understanding
Ankan Mullick, Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, R Raghav. Fine-grained Intent Classification in the Legal Domain [PDF]
Abhilash Nandy, Soumya Sharma, Shubham Maddhashiya, Kapil Sachdeva, Pawan Goyal, Niloy Ganguly. Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework [Project Website, PDF, Code]
Manav Nitin Kapadnis, Sohan Patnaik, Siba Smarak Panigrahi, Varun Madhavan, Abhilash Nandy. Team Enigma at ArgMining-EMNLP 2021: Leveraging Pre-trained Language Models for Key Point Matching [PDF, Code]
Abhilash Nandy, Sayantan Adak, Tanurima Halder, Sai Mahesh Pokala. cs60075 team2 at SemEval-2021 Task 1 : Lexical Complexity Prediction using Transformer-based Language Models pre-trained on various text corpora [PDF, Code, Explanation Video]
Kushal Kedia, Abhilash Nandy. indicnlp@ kgp at DravidianLangTech-EACL2021: Offensive Language Identification in Dravidian Languages [PDF, Code]
Abhilash Nandy. A Densenet Based Robust Face Detection Framework [PDF]
Gopabandhu Hota, Abhilash Nandy, Kshitiz Goel, Dishank Yadav, Saumo Pal, Ankush Roy. An Adaptive Anaphylaxis Detection and Emergency Response System [PDF]
Abhilash Nandy, Shanka Subhra Mondal. Kinship verification using deep siamese convolutional neural network [PDF]
Sopan Khosla, Siddhant Arora, Abhilash Nandy, Ankita Saxena, Anandhavelu Natarajan. Understanding Community Rivalry on Social Media: A Case Study of Two Footballing Giants [PDF]
Abhilash Nandy, Sushovan Haldar, Subhashis Banerjee, Sushmita Mitra. A Survey on Applications of Siamese Neural Networks in Computer Vision [PDF]
Abhilash Nandy, Rachana Sathish, Debdoot Sheet. Identification of Cervical Pathology using Adversarial Neural Networks [PDF]
Adarsh Kumar Kosta, Abhilash Nandy, Chaitanya Paikara, Dishank Yadav, Souham Mandal, Shashikant Soren. Low-cost Brain Controlled Orthotic Exoskeleton Arm for Monoplegic Paralyzed Individuals [PDF]
Or else in General Research Lab, Computer Science and Engineering Dept., IIT Kharagpur, India