Welcome fellow researchers to my website! I hold a Ph.D. in Computer Science. My main areas of research interest are NLP and sentiment analysis. At present, I work as an assistant professor at the Singapore University of Technology and Design (SUTD), Singapore. I am also part of the Institute of High-Performance Computing (IHPC), ASTAR as a senior scientist. Before joining SUTD, I worked at NTU where I was awarded the prestigious NTU presidential postdoctoral fellowship.
My days are spent mostly with arxiv articles, conference proceedings, matrices, probability, calculus, Pytorch and Keras! Ah yes! and reading and replying to emails :)
I am open to collaborations. If you are interested please drop me an email. To know more about my work, please browse the catalog of my publications. You may also visit my Google Scholar profile.
Our lab is called as DeCLaRe Lab. We work on challenging NLP problems, such as, dialogue comprehension and generation, commonsense reasoning, multimodal understanding, and more.
IEEE 10 to Watch in AI
Excited to be named as one of IEEE's 2022 edition of 10 to Watch in AI. Thanks to my colleagues and students. Find the complete list here.
Two papers accepted at Interspeech 2023. Congratulations to all the collaborators.
Three papers accepted at ACL 2023. Congratulations to all the collaborators.
Collaboration with Microsoft Research
DeCLaRe Lab is thrilled to announce our selection for the Microsoft Research Accelerate Foundation Models Academic Research program. This program will enable us to contribute to the development of fair and responsible open source LLMs. We are excited to compare the performance of our models to OpenAI's LLMs, including GPT-4 and ChatGPT. For updates on our progress and developments, please follow our repository at https://github.com/declare-lab/flan-eval.
New Generation Model on Text-to-Audio
Read our work here .
Two papers accepted at ICASSP 2023. Congratulations to all the collaborators.
Two papers accepted at EACL 2022. Congratulations to all the collaborators.
Five papers accepted at EMNLP 2022. Congratulations to all the collaborators.
New paper alert
Exemplars-guided empathetic response generation controlled by the elements of human communication, IEEE ACCESS. Read Here
We have four papers accepted by ACL, three papers accepted by COLING, and one paper accepted by ECCV!
The DeCLaRe lab has been awarded Tier 2 funding by the Ministry of Education (MoE), Singapore. We are grateful to MoE for their generosity. The project will focus on building techniques for Commonsense-aware NLP. Shoutout to the team-- Prof. Rada Mihalcea, Dr. Navonil Majumder, Prof. Alexander Gelbukh, Devamanyu Hazarika, and Deepanway Ghosal without whom it was not possible.
New paper - Exploring the Role of Context in Utterance-level Emotion, Act and Intent Classification in Conversations: An Empirical Study Read here.
I am one of the area chairs of this year's EMNLP, ACL and NeuRIPS.
New paper on the identifiability of the transformers accepted at ACL 2021! Congratulations Rishabh!
Delivered an invited talk at IBM Research, Almaden, USA.
Honored to give a keynote talk at MICAI 2020.
Honored to give an inivited talk at ICON 2020.
New paper - Recognizing Emotion Cause in Conversations Read here.
New paper on Sentiment Analysis - Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research Read here.
I will serve EMNLP 2020 as an area chair of the sentiment analysis track.
I served ACL 2020 as an area chair of the sentiment analysis track.
We have a number of openings to join us at the DeCLaRe Lab as postdocs and research assistants/associates. Drop me an email.
The DeCLaRe lab has been awarded programmatic funding by AME. We are grateful to AME for their generosity. The project will focus on building knowledge graph-based question answering.
The DeCLaRe lab secured funding from DSO for a project on complex question answering. Thank you, DSO!
New paper on transfer learning - Hazarika, Devamanyu, Soujanya Poria, Roger Zimmermann, and Rada Mihalcea. "Emotion Recognition in Conversations with Transfer Learning from Generative Conversation Modeling. [Download the paper].