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.

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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.

PEFTDebias : Capturing debiasing information using PEFTs
Sumit Agarwal*, Aditya Srikanth Veerubhotla*, Srijan Bansal* To appear in EMNLP, 2023
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
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
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
Zero-shot Multi-lingual Interrogative Question Generation for" People Also Ask" at Bing
Rajarshee Mitra, Rhea Jain, Aditya Srikanth Veerubhotla, Manish Gupta KDD, 2021
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
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
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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