Sumit Agarwal
Graduate Research Assistant. Language Technologies Institute. CMU.
I am a second year MLT student (Masters in Language Technologies) in the Language Technologies Institute, School of Computer Science at Carnegie Mellon University advised by Prof. Teruko Mitamura.
I have developed a keen interest in the recent advancements in NLP, such as GPT-4, ChatGPT, DALLE, and their ability to comprehend human language and perform equally well across diverse tasks. My research focuses on applying deep learning techniques to a variety of NLP tasks, including question answering, information extraction, code generation, summarization, often in a zero or few-shot setting and across multiple languages and modalities.
Before coming to CMU, I worked in Samsung Research Institute, Bangalore, India for four years where I was working in the Voice Intelligence Team, Bixby, on task oriented dialogue systems. I was a part of the team which was responsible for shipping the voice assistant across multiple domains and devices in a seamless manner. I graduated with a B.Tech. in Computer Science and Engineering from Indian Institute of Technology (IIT), Kharagpur in 2017. In my Bachelor’s thesis under Prof. Niloy Ganguly, I worked on modeling opinion dynamics in social networks using recurrent neural networks.
In my leisure time, I love cooking different recipes from Indian cuisine, especially biryani. I also like to click photographs and watch movies and documenteries.
news
Mar, 23 | Our work CodeBERTScore: Evaluating Code Generation with Pretrained Models of Code was accepted as a Spotlight paper at Deep Learning for Code (DL4C) workshop at ICLR’23 |
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Dec, 22 | Attended EMNLP’22 in Abu Dhabi, UAE. |
Oct, 22 | Our work PRO-CS : An Instance-Based Prompt Composition Technique for Code-Switched Tasks was accepted as a long paper at EMNLP’22 |
Jun, 22 | Our work Zero shot cross lingual open domain question answering was accepted at Multilingual Information Access (MIA) Workshop at NAACL’22. Our system stood 3rd on the MIA Shared Task. |
May, 22 | Attended ACL’22 in Dublin, Ireland. |
Apr, 22 | Our work R3 : Refined Retriever-Reader pipeline for Multidoc2dial was accepted at DialDoc Workshop at ACL’22. Our system stood 1st on the unseen Multidoc2dial Shared Task. |