Aseem Srivastava

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Hello!

I am a fifth-year research scholar in the Laboratory for Computational Social Systems (LCS2) at IIIT-Delhi, where I am advised by Dr. Md. Shad Akhtar and Dr. Tanmoy Chakraborty. My interests lie broadly at the intersection of Natural Language Processing, and Conversational AI with a focus on mental health counseling methods. In particular, my research aligns toward understanding mental health clients on digital counseling systems using NLP and Deep Learning. To know more, refer to my resume or drop me an email!

News and Updates

  • May 2022: Our paper on counseling summarization got accepted at KDD 2022.
  • March 2022: Our paper on mental health symptom identification got accepted at ICWSM 2022.
  • October 2021: Our paper on dialogue-act classification in dialogue systems got accepted at WSDM 2022.
  • May 2022: Received ACL 2022 Student Volunteer Award.
  • December 2021: Received WSDM Student Grant to present our paper in WSDM 2022 (virtual).
  • October 2021: Received EMNLP 2021 Student Volunteer Award.
  • August 2021: Received ACL 2021 Student Volunteer Award.
  • August 2020: Started my PhD at IIIT Delhi

Publications

Knowledge Planning in Large Language Models for Domain-Aligned Counseling Summarization
Aseem Srivastava, Smriti Joshi, Tanmoy Chakraborty, Md Shad Akhtar
EMNLP (Main) '24 | Conference on Empirical Methods in Natural Language Processing 2024
paper

Exploring the Efficacy of Large Language Models in Summarizing Mental Health Counseling Sessions: A Benchmark Study
Prottay Kumar Adhikary, Aseem Srivastava, Shivani Kumar, Salam Michael Singh, Puneet Manuja, Jini K Gopinath, Vijay Krishnan, Swati Kedia, Koushik Sinha Deb, Tanmoy Chakraborty
JMIR-MH '24 | Journal of Medical Internet Research - Mental Health 2024
paper

Response-act Guided Reinforced Dialogue Generation for Mental Health Counseling
Aseem Srivastava, Ishan Pandey, Md. Shad Akhtar, Tanmoy Chakraborty
WWW'23 | The 2023 ACM Web Conference (aka WWW)
paper code slides

Counseling Summarization using Mental Health Knowledge Guided Utterance Filtering
Aseem Srivastava, Tharun Suresh, Sarah (Grin) Lord, Md. Shad Akhtar, Tanmoy Chakraborty
KDD'22 | ACM's Knowledge Discovery and Data Mining - SIGKDD 2022
paper dataset slides

A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework
Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md Shad Akthar, Maryam Panahiazar, Amit Sheth
ICWSM'22 | The International AAAI Conference on Web and Social Media 2022
paper

Speaker and Time-aware Joint Contextual Learning for Dialogue-act Classification in Counselling Conversations
Ganeshan Malhotra, Abdul Waheed, Aseem Srivastava, Md Shad Akhtar, Tanmoy Chakraborty
WSDM'22 | The 15th ACM International WSDM Conference
paper code dataset slides

Critical Behavioral Traits Foster Peer Engagement in Online Mental Health Communities
Aseem Srivastava, Tanya Gupta, Alison Cerezo, Grin Lord, Md Shad Akhtar, Tanmoy Chakraborty
Under Review
paper

Organized Tutorials

Building Blocks of AI-Driven Mental Health Counseling
Organizers: Aseem Srivastava, Neeraj, Yash Kumar Atri, Shivani Kumar, Shad Akhtar, Tanmoy Chakraborty
ICON'23 | International Conference on Natural Language Processing ICON 2023
website

Invited Talks

Feb' 24   |   Invited to present a lightning talk and poster on Dialogue Generation at ACM ARCS 2024.
ACM India   |   Poster LinkedIn

Nov' 23   |   Applied AI in Mental Health – Building Bridges from Scratch to Transformation 🚀
Cord.AI   |   Slides LinkedIn

Position of Responsibility


Teaching

  • Winter 2022: Head TA for CSE 641: Deep Learning
  • Monsoon 2021: Head TA for CSE 556: Natural Language Processing
  • Winter 2021 & 2022: TA for PG Diploma in Data Science & AI: Deep Learning

  Template: Ashish Sharma