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Himanshu Dutta

Research Fellow
Microsoft Research, India
hdutta1024 (at) gmail.com


About Me

I am currently working as a Research Fellow (equivalent to Pre-doctoral Researcher) at Microsoft Research, India. I work with the ReFoRM team under the leadership of Dr. Manik Varma. I am currently working in close collaboration with Lokesh N on machine learning and information retrieval. My current work focuses on improving how dense retrieval models are trained, especially through principled negative sampling and batch construction strategies for contrastive learning. I am particularly interested in systems that learn structured knowledge from text and use it for reasoning, retrieval, and interaction.

Previously, I completed my M.Tech at IIT Bombay under Prof. Pushpak Bhattacharyya and Prof. Preethi Jyothi, where I worked on document-level machine translation, retrieval-augmented generation, and agentic NLP systems.

Research Interests

NLP, Information Retrieval, Machine Learning

News

Publications

  1. ICML
    Himanshu Dutta, Lokesh Nagalapatti, Yashoteja Prabhu
    International Conference on Machine Learning 2026.

  2. EMNLP
    Himanshu Dutta, Sunny Manchanda, Prakhar Bapat, Meva Ram Gurjar, Pushpak Bhattacharyya
    Conference on Empirical Methods in Natural Language Processing: Industry Track 2025.

  3. EMNLP
    Satyam Shukla, Himanshu Dutta, Pushpak Bhattacharyya
    Conference on Empirical Methods in Natural Language Processing: Industry Track 2025.

  4. WSC
    Bhakti Jadav, Himanshu Dutta, Shruti Kanitkar, Malhar Kulkarni, Pushpak Bhattacharyya
    Computational Sanskrit and Digital Humanities-World Sanskrit Conference 2025.

  5. IEEE
    Himanshu Dutta, Saurabh Bilgaiyan, Bhabani Shankar Prasad Mishra, Satchidananda Dehuri, Ashish Ghosh
    IEEE Access, 2023.

  6. ICCIPR
    Himanshu Dutta, Mahendra Kumar Gourisaria, Himansu Das
    International Conference on Computational Intelligence in Pattern Recognition (ICCIPR), 2022.

  7. JEI
    Himanshu Dutta, Aditya Pandey, Saurabh Bilgaiyan
    Journal of Electronic Imaging (JEI), 2021.


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