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Tanmoy Chakraborty

Associate Professor (ACM Distinguished Speaker)
Dept. of Electrical Engineering (Computer Technology Group)
Associate Faculty Member, Yardi School of Artificial Intelligence
Indian Institute of Technology Delhi (IIT Delhi), India
Laboratory for Computational Social Systems (LCS2)

Latest News

  • I am looking for motivated MS (by Research), PhD Students and Postdocs. Email me with your CV, if interested.

  • The textbook on Social Network Analysis is available online (Website, Amazon link, Chapterwise Lectures, NPTEL Course).

  • [Mar 19, 2024] Shivani defended her PhD thesis and joined University of Michigan as a postdoc.

  • [Mar 14, 2024] One full paper (counterspeech generation) accepted in NAACL'24 main conference.

  • [Mar 05, 2024] Our journal paper on harmful meme analysis accepted in IEEE Transactions on Affective Computing.

  • [Feb 26, 2024] I gave a keynote talk at the Defactify-3 workshop at AAAI'24.

  • [Feb 20, 2024] Two full papers (code-mixing and dialog) accepted in LREC-COLING'2024 main conference.

  • [Feb 05, 2024] Our opinion paper on "The Promethean Dilemma of AI" accepted in the Communications of the ACM.

  • [Jan 18, 2024] Two full papers (code-mixing and hate speech) accepted in EACL'24 (Findings).

  • [Jan 17, 2024] One full paper (model distilation) accepted in ICLR'24.

  • [Dec 10, 2023] One full paper on enhancing frugal LM for arithmatic reasoning accepted in AAAI'24.

  • [Dec 09, 2023] Subhabrata Dutta defended his PhD thesis and joined TU Darmstadt as a postdoc.

  • [Nov 14, 2023] Sahil Mishra received the Prime Minister's Research Fellows (PMRF); Sarah Masud received the Google India PhD fellowship.

  • [Oct 08, 2023] Six papers (summarization, fact-checking, frugal LM, distilation) accepted in EMNLP'2024 (3 in Main and 3 in Findings)!

  • [Sep 11, 2023] I received Adobe Faculty Award. Thanks Adobe for the support!

  • [Aug 28, 2023] Our IJCAI'23 paper on AI for poverty estimation got IJCAI'23 AI for Social Good Award.

  • [Aug 10, 2023] I received JP Morgan Faculty Award. Thanks JPMC for the support!

  • [July 09, 2023] Our ACL'23 paper on cross-lingual prompting got the ACL'23 Outstanding Paper Award.

  • [May 22, 2023] Our opinion article on "reliability of AI-based chatbots for science communication" accepted in the Communications of the ACM.

  • [May 16, 2023] Two full papers (summarization, hate speech) accepted in SIGKDD'23 Main conference.

  • [May 02, 2023] Three full papers (hateful meme, counterspeech, cross-lingual prompting) accepted in ACL'23 Main conference.

  • [April 23, 2023] Our paper on "Judging the creative prowess of AI" accepted in Nature Machine Intelligence.

  • To see more, click here.

About Me

Since September 2022, I have held the position of Associate Professor in the Department of Electrical Engineering at the Indian Institute of Technology Delhi (IIT Delhi), India. Additionally, I serve as an associate faculty member at the Yardi School of Artificial Intelligence, IIT Delhi. I am an ACM Distinguished Speaker (2023-2025). I was a Ramanujan Fellow from 2018-2023. Before joining IIT Delhi, I served as an Assistant Professor (May 2017 - Dec 2021) and an Associate Professor (Jan 2022 - Sep 2022) in the Dept of CSE at IIIT Delhi, India. I also served as the head of the Infosys Centre for AI (CAI) at IIIT Delhi. I obtained my PhD as a Google PhD scholar from the Dept. of CSE, Indian Institute of Technology, Kharagpur, India, in September 2015. Following this, I joined the University of Maryland, College Park, as a Postdoctoral Researcher. My broad research interests include Natural Language Processing, Graph Neural Networks, and Social Computing. My current research primarily focuses on enriching frugal language models (reasoning, knowledge grounding, prompting, editing, etc.) and applying them to various applications, including mental health and Cyber-informatics.

I established and am leading the Laboratory for Computational Social Systems (LCS2) research group.

Academic/administrative positions

  • PECFAR Visiting Faculty, TU Munich (June 1 - June 30, 2023)
  • Associate Faculty, Yardi School of AI, IIT Delhi (Mar 21 - present)
  • Associate Professor, IIT Delhi, India (Sep 8, 2022 - present)
  • Associate Professor, IIIT Delhi, India (Jan 1, 2022 - Sep 7, 2022)
  • Project Director, iHub-Anubhuti-IIITD Foundation (Aug 2020 - Sep 7, 2022)
  • Head, Infosys Center for AI, IIIT Delhi, India (Jan 1, 2022 - Aug 31, 2022)
  • DAAD Visiting Faculty, Max Planck Institute for Software Systems, Germany (June - July, 2018)
  • Assistant Professor, IIIT Delhi, India (May 17, 2017 - Dec 31, 2021)

Research Interests

I broadly work in Natural Language Processing, Social Computing, and Graph Neural Networks. Currently, my research focuses on enhancing the capabilities of small-scale and frugal language models and applying them to various application domains such as healthcare, cyber-informatics, and climate towards deployable solutions. Below, you find some of the areas which I am actively exploring.

Large Language Models

    Our research on Large Language Models (LLMs) is motivated by the objective of enriching the capabilities of frugal language models and making these ‘black-box’ models more transparent and understandable. We are currently working on enhancing their reasoning capabilities and in-context learning abilities, grounding them in task-specific knowledge, and optimizing their efficiency for real-world deployment through model compression techniques like knowledge distillation. Another focal point of our research is to understand how LLMs function. We have been looking into the internal mechanisms of these models that manifest emergent abilities like Chain-of-Thought (CoT) reasoning, multilingual in-context learning, etc.

Cyber-informatics

    Our social computing research focuses on various aspects of malicious online content, particularly hateful and misinformed posts. Our work is not limited to text and topological features but extends to multimodal setups like harmful memes. Through analysis of dangerous content on the web, we aim to model and counter the spread of such content, empowering content moderators with semi-automated tools.

AI for Mental Health

    We focus on various aspects of mental health, broadly on counselling-based therapy, intervention, and psychotherapy using AI and NLP. We have contributed to the identification of dialogue acts and summarization of mental health counselling conversation. This work is further extended to aspect-based summarization based on counselling components. Other works include the identification of mental health symptoms aided by gender information from Reddit conversation data, which we extend further to mental health dialogue generation guided by dialogue acts. Apart from these works, our lab is constantly expanding its horizon by shifting towards cognitive and neuropsychiatry by collaborating with mental health experts. Furthermore, we are also venturing into the menstrual health, sexual health and suicide intervention-related domains by collaborating with NGOs for the grass-root level reach and outsourcing.




              

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Address: Room: 3B-7 (Block III 3rd Floor),
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Indian Institute of Technology, Delhi
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