Aditya Srikanth Veerubhotla
I am a recent graduate at LTI, CMU where I pursued my master's in Intelligent Information Systems - Advanced Study. Through my projects and TA work, I got the opportunity to work with a lot of people, including Prof Jamie Callan, Prof Eric Nyberg, Prof Graham Neubig, Prof Yonatan Bisk, Prof Daniel Fried, and my awesome peers at CMU!
Over the past few years, I got to do research on a lot of interesting problems in NLP covering Aspect Based Sentiment Analysis, Question Answering/Generation, Information Retrieval, Multimodal Machine Learning, Self-Rationalization, and more.
I have prior work experience as an Applied Scientist Microsoft Bing. I have also interned at Amazon, Microsoft, and at the L.V. Prasad Eye Institute in a collaborative program with MIT Media Labs.
Email  / 
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Research
I'm interested in Natural Language Processing, Machine Learning, Multi-Task Learning, and Reinforcement Learning, and I have explored many projects in these fields, some of which have led to publications, which you can find below.
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PEFTDebias : Capturing debiasing information using PEFTs
Sumit Agarwal*,
Aditya Srikanth Veerubhotla*,
Srijan Bansal*
To appear in EMNLP, 2023
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Few Shot Rationale Generation using Self-Training with Dual Teachers
Aditya Srikanth Veerubhotla,
Lahari Poddar,
Jun Yin,
György Szarvas,
Sharanya Eswaran
Findings of ACL, 2023
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R3: Refined Retriever-Reader Pipeline for Multidoc2dial
Srijan Bansal*,
Suraj Tripathi*,
Sumit Agarwal*,
Sireesh Gururaja*,
Aditya Srikanth Veerubhotla*,
Ritam Dutt,
Teruko Mitamura,
Eric Nyberg
Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022
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Aspect Term Extraction for Opinion Mining Using a Hierarchical Self-Attention Network
Avinash Kumar,
Aditya Srikanth Veerubhotla,
Vishnu Teja Narapareddy,
Vamshi Aruru,
Lalita Bhanu Murthy Neti,
Aruna Malapati
Neurocomputing, 2021
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Zero-shot Multi-lingual Interrogative Question Generation for" People Also Ask" at Bing
Rajarshee Mitra,
Rhea Jain,
Aditya Srikanth Veerubhotla,
Manish Gupta
KDD, 2021
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Adversarial and auxiliary features-aware bert for sarcasm detection
Avinash Kumar,
Vishnu Teja Narapareddy,
Pranjal Gupta,
Veerubhotla Aditya Srikanth,
Lalita Bhanu Murthy Neti,
Aruna Malapati
8th ACM IKDD CODS and 26th COMAD, 2021
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Aspect-based sentiment classification using interactive gated convolutional network
Avinash Kumar,
Vishnu Teja Narapareddy,
Veerubhotla Aditya Srikanth,
Lalita Bhanu Murthy Neti,
Aruna Malapati
IEEE Access, 2020
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Sarcasm detection using multi-head attention based bidirectional LSTM
Avinash Kumar,
Vishnu Teja Narapareddy,
Veerubhotla Aditya Srikanth,
Aruna Malapati,
Lalita Bhanu Murthy Neti
IEEE Access, 2020
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