Harshvardhan Srivastava

हर्षवर्धन श्रीवास्तव

2nd Year Grad Student at Columbia University

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I am currently a second-year graduate student in the Computer Science department, I am at the forefront of cutting-edge research in machine learning and natural language processing. My work as a machine learning engineer at articulate.ai, collaborating closely with Prof. Zhou Yu, has provided me with invaluable industry experience in developing innovative AI solutions.

Currently, I am also engaged in research with Prof. Kathleen McKeown, focusing on generative applications for Large Language Models (LLMs) and style embedding in generative foundational models. This work is pushing the boundaries of what’s possible in natural language generation and understanding.

My academic journey has been marked by a diverse range of research experiences. I’ve explored graphical applications in computational conversational systems with Prof. Mausam and Prof. Soumen Chakrabarti and NLP applications in social systems. My previous work includes collaborations with esteemed researchers on topics such as graphical ML techniques with with Prof. Aruna Tiwari, knowledge mining in medical texts with Prof. Tanmay Basu on knowledge mining in medical texts, and latency versus redundancy trade-offs in distributed systems with Prof. Parimal Parag.

Prior to my graduate studies, I honed my technical skills as a Backend Server Technology developer at Oracle Cloud Applications, where I developed efficient and robust solutions for data pipelines in HCM and CX modules.

news

Aug 13, 2024 Getting Serious with LLMs” just won outstanding paper award at ACL 2024! 🏆
Jun 5, 2024 Started out working with Sara as a speech researcher.
Jun 2, 2024 Starting out as a machine learning engineer intern at Articulate.ai
May 1, 2024 Selected for the CBL fellowship for Summer 2024.
Apr 11, 2024 Paper “Getting Serious with LLMs” accepted to ACL 2024
Jan 11, 2024 Will be TAing for Social Network Analysis, GR5062 in the Spring Semester
Sep 21, 2023 Accepted into the 2023B cohort of Google’s CS Research Mentorship Program (CSRMP) !
Sep 15, 2023 Will be TAing for Computational Techniques in Pixel Processing (COMS4165)
Sep 1, 2023 Starting out a new chapter of my life with masters in CS at Columbia !
May 17, 2023 Paper Accepted to InterSpeech 2023 Conference. Preprint Link.
Apr 28, 2023 Moving to New York City at Columbia University for my MS in Computer Science!
Oct 25, 2022 Submitted a paper to ICASSP 2023. Checkout the preprint –> here
Sep 7, 2022 Presented our paper at CLEF 2022 !
Aug 16, 2022 :boom: Started full time research at the DAIR Lab under Prof Mausam :boom:
May 1, 2022 Started collaborating with my amazing mentor Zhijing Jin on Causality in NLP at ETH Zurich
Apr 1, 2022 My Work at CMCL Workshop held at Dublin with ACL 2022 accepted with SOTA results !
Jul 16, 2021 Started my first full time job at Oracle Cloud Analytics Division!
Jun 15, 2021 Graduated with Honors from IITKGP :grinning:
Nov 7, 2015 A long announcement with details