Hello 👋

I am an undergraduate student at IIIT Dharwad, India with a strong focus on Natural Language Processing (NLP), Multimodal systems, and AI Safety. My research journey spans over two years, with publications in two core A* conference papers at EMNLP 2024 and WWW 2025, along with two workshops at top-tier NLP conferences. Currently, I am a research intern at Microsoft Research (MSR) India, working with Minghua Ma, a Senior Researcher at Microsoft Research Lab - Redmond. I have been actively involved in research for the past two years under the guidance of Dr. Sunil Saumya and Dr. Deepak KT. Previously, I was a research intern at the FLaMe.nlp Research Lab, Delhi, India, working under the mentorship of Dr. Md. Shad Akhtar.

To know more, refer to my resume or drop me an email!

News and Updates

  • Jan 2025: Our paper on multimodal detection of mental health disorders in social media has been accepted at TheWebConf (WWW) 2025.
  • Jan 2025: I've been invited to Google DeepMind Research Symposium 2025 aka Google Research week.
  • Dec 2024: I received an offer to join Microsoft Research as a research intern starting January 2025.
  • Sept 2024: Our paper LaRA on Cross modal LLM with speech got accepted at EMNLP 2024 Findings.
  • Sept 2024: Started my research internship at FLaMe.nlp Research Lab.
  • June 2024: Our paper on Emotion recognition in multi-party conversations (code-mixed) and emotion trigger dynamics, got accepted at SemEval 2024 co-held with NAACL '24.
  • May 2024: Started my research internship at LCS2 Research Lab.
  • March 2024: Our paper on Hate Speech Detection in Telugu-English Code-Mixed Text got accepted at DravidianLangTech 2024 co-held with EACL '24.
  • Feb 2024: Our team, FeedForward, secured 3rd place in Tasks 1 and 2, and 5th place in Task 3 of the SemEval 2024 EDIREF competition.
  • Dec 2021: Started my Bachelor degree (BTech) at IIIT Dharwad, India.

Publications

Figurative-cum-Commonsense Knowledge Infusion for Multimodal Mental Health Meme Classification
Abdullah Mazhar, Zuhair Hasan, Aseem Srivastava, Polly Ruhnke, Lavanya Vaddavalli, Sri Keshav Katragadda, Shweta Yadav, Md Shad Akhtar
WWW '25| Conference (A*) | International World Wide Web Conference 2025
paper code (Soon) slides (Soon)

LaRA: Large Rank Adaptation for Speech and Text Cross-Modal Learning in Large Language Models
Zuhair Hasan, Pradyoth Hegde, Prashanth Bannulmath, Deepak KT
EMNLP (Findings) '24| Conference (A*) | Conference on Empirical Methods in Natural Language Processing 2024
paper code slides

FeedForward at SemEval-2024 Task 10: Trigger and sentext-height enriched emotion analysis in multi-party conversations
Zuhair Hasan, D Prasanna, E Jahnavi, Rishi Thippireddy, Vamsi Madhav, Sunil Saumya, Shankar Biradar
SemEval'24 | Workshop | Proceedings of the 18th International Workshop on Semantic Evaluation (SemEval-2024)
paper code slides

IIITDWD-zk@ DravidianLangTech-2024: Leveraging the Power of Language Models for Hate Speech Detection in Telugu-English Code-Mixed Text
Zuhair Hasan, Sai Kartheek Reddy Kasu, Sunil Saumya, Shankar Biradar
DravidianLangTech '24 | Workshop | Proceedings of the Fourth Workshop on Speech, Vision, and Language Technologies for Dravidian Languages
paper code slides

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