Swaroop Mishra

I am a PhD candidate at Arizona State University, where I work on developing models that learn new tasks from instructions. I have had the pleasure of doing my research internship at Allen Institute for AI (2021, 2022), Research, Technology and Innovation Center, Thermax Limited (2013), Harish-Chandra Research Institute (2012) and Institute of Physics (2011). I also had a great time working full time as Technical Consultant at Information Technology Research Academy (Government of India) (2018-19) and as a Software Engineer at MathWorks (2016-18). I am a proud alumni of IIT Kanpur.

I am currently on job market. I love to discuss new ideas. Do email to chat.

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Research

My main focus area is Learning from Instructions. I am also interested in related areas such as Robust ML & NLP, Human-centric AI, Reasoning, Efficient ML & NLP, Data Quality and ML & NLP Applications. My strength lies in generating new ideas and I am fortunate to collaborate with a diverse set of awesome researchers through my ideas.

Preprint
Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions.
Mihir Parmar*, Swaroop Mishra*, Mor Geva, Chitta Baral
Learning from Instructions
Preprint
Benchmarking Generalization via In-Context Instructions on 1,600+ Language Tasks.
Yizhong Wang*, Swaroop Mishra*, Pegah Alipoormolabashi, Yeganeh Kordi et. al
Learning from Instructions
NAACL 2022
In-BoXBART: Get Instructions into Biomedical Multi-task Learning.
Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, M. Hassan Murad, Chitta Baral,
Learning from Instructions
NAACL Workshop 2022
Is a Question Decomposition Unit All We Need?
Pruthvi Patel, Swaroop Mishra, Mihir Parmar, Chitta Baral
Learning from Instructions
NAACL Workshop 2022
Let the Model Decide its Curriculum for Multitask Learning
Neeraj Varshney, Swaroop Mishra, Chitta Baral
Efficient ML & NLP
INDISCON 2022
Towards the Development of Disaster Management Tailored Machine Learning Systems
Swaroop Mishra, Manas Kumar Jena, Ashok Kumar Tripathy
ML & NLP Applications
ACL 2022
Cross-Task Generalization via Natural Language Crowdsourcing Instructions.
Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi
Learning from Instructions
ACL 2022
Reframing Instructional Prompts to GPTk's Language.
Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi
Learning from Instructions
ACL 2022
NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks.
Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan
Reasoning
ACL 2022
ILDAE: Instance-Level Difficulty Analysis of Evaluation Data.
Neeraj Varshney, Swaroop Mishra, Chitta Baral
Efficient ML & NLP
ACL 2022
Generalized but not Robust? Understanding the Effects of Out-of-Domain Generalization Methods.
Tejas Gokhale*, Swaroop Mishra*, Man Luo*, Bhavdeep Sachdeva, Chitta Baral
Robust ML & NLP
ACL 2022
Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings.
Neeraj Varshney, Swaroop Mishra, Chitta Baral
Efficient ML & NLP
ACL Workshop 2022
How Many Data Samples is an Additional Instruction Worth?
Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral
Learning from Instructions
ACL Workshop 2022
Less is More: Summary of Long Instructions is Better for Program Synthesis
Kirby Kuznia, Swaroop Mishra, Mihir Parmar, Chitta Baral
Learning from Instructions
ACL Workshop 2022
Towards Improving Selective Prediction Ability of NLP Systems
Neeraj Varshney, Swaroop Mishra, Chitta Baral
Efficient ML & NLP
Preprint
Instruction Learning for Biomedical Table Question Answering
Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, Chitta Baral
Learning from Instructions
Preprint
Pretrained Transformers May Not Provide More Robust Representation Than Traditional Models On Data with Noisy Labels
Swaroop Mishra, Bhavdeep Sachdeva, Chitta Baral
Robust ML & NLP
Preprint
Identification and Curation of Parameters to Assess and Quantify the Quality of Benchmarks in NLP
Swaroop Mishra, Anjana Arunkumar, Chris Bryan, Chitta Baral
Data Quality
AKBC 2021
Commonsense Reasoning with Implicit Knowledge in Natural Language
Pratyay Banerjee*, Swaroop Mishra*, Kuntal Kumar Pal*, Arindam Mitra*, Chitta Baral
Reasoning
Preprint
Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems
Neeraj Varshney, Swaroop Mishra, Chitta Baral
Efficient ML & NLP
ACL 2021
Constructing Flow Graphs from Procedural Cyber Security Text
Kuntal Kumar Pal*, Kazuaki Kashihara*, Pratyay Banerjee*, Swaroop Mishra, Ruoyu Wang, Chitta Baral
ML & NLP Applications
AAAI 2021
How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation
Swaroop Mishra, A Arunkumar
Efficient ML & NLP
IEEE VIS Workshop 2020
A Visual Exploration of Fair Evaluation for ML - Bridging the Gap Between Research and the Real World
A Arunkumar, Swaroop Mishra, C Bryan
Efficient ML & NLP
EMNLP Workshop 2020
Do We Need to Create Big Datasets to Learn a Task?
Swaroop Mishra*, B Sachdeva*
Efficient ML & NLP
NeurIPS Workshop 2020
Front Contribution instead of Back Propagation
Swaroop Mishra, A Arunkumar
Efficient ML & NLP
NeurIPS Workshop 2020
Is High Quality Data All You Need?
Swaroop Mishra, A Arunkumar
Data Quality
NeurIPS Workshop 2020
Real-Time Visual Feedback for Educative Benchmark Creation : A Human-and-Metric-in-the-Loop Workflow
A Arunkumar, Swaroop Mishra, B Sachdeva, C Baral, C Bryan
Data Quality
ICML Workshop 2020
Our Evaluation Metric Needs an Update to Encourage Generalization
Swaroop Mishra, A Arunkumar, C Bryan, C Baral
Efficient ML & NLP
ICML Workshop 2020
DQI: A Guide to Benchmark Evaluation
Swaroop Mishra, A Arunkumar, B Sachdeva, C Bryan, C Baral
Data Quality
IET CPS Journal 2019
Enabling cyber-physical demand response in smart grids via conjoint communication and controller design.
Swaroop Mishra, MP Korukonda, L Behera, A Shukla
ML & NLP Applications
IET CPS Journal 2018
Hybrid adaptive framework for coordinated control of distributed generators in cyber-physical energy systems
MP Korukonda, Swaroop Mishra, K Rajawat, L Behera
ML & NLP Applications
IET CPS Journal 2017
Handling multi-parametric variations in distributed control of cyber-physical systems through optimal communication design
MP Korukonda, Swaroop Mishra, A Shukla, L Behera
ML & NLP Applications
NPSC 2016
Improving microgrid voltage stability through cyber-physical control
MP Korukonda, Swaroop Mishra, A Shukla, L Behera
ML & NLP Applications
INDIN 2015
A generalized novel framework for optimal sensor-controller connection design to guarantee a stable cyber physical smart grid
Swaroop Mishra, NV Srinath, MP Korukonda, L Behera
ML & NLP Applications

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