Swaroop Mishra

I am a Research Scientist at Google Brain, where I work on developing models that learn new tasks from instructions.

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Research

My main focus area is Learning from Instructions/Prompting. I am also excited about related areas such as Quantitative Reasoning, Efficient ML & NLP, Robustness & Generalization, Selective Answering, Spurious Bias 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.

	Learning From Instructions/Prompting
	Cross-Task Generalization via Natural Language Crowdsourcing Instructions. Swaroop Mishra, Daniel Khashabi, Chitta Baral, Hannaneh Hajishirzi Annual Meeting of the Association for Computational Linguistics (ACL), 2022
	Reframing Instructional Prompts to GPTk's Language. Swaroop Mishra, Daniel Khashabi, Chitta Baral, Yejin Choi, Hannaneh Hajishirzi Annual Meeting of the Association for Computational Linguistics (ACL) Findings, 2022
	HELP ME THINK: A Simple Prompting Strategy for Non-experts to Create Customized Content with Models. Swaroop Mishra, Elnaz Nouri Preprint
	Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions. Swaroop Mishra, Mihir Parmar, Mor Geva, Chitta Baral Media Coverage Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
	Benchmarking Generalization via In-Context Instructions on 1,600+ Language Tasks. Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi, Yeganeh Kordi, ..., Chitta Baral, Yejin Choi, Noah A. Smith, Hannaneh Hajishirzi, Daniel Khashabi Empirical Methods in Natural Language Processing (EMNLP), 2022
	Self-Instruct: Aligning Language Model with Self Generated Instructions. Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A Smith, Daniel Khashabi, Hannaneh Hajishirzi Preprint/font
	Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering. Pan Lu, Swaroop Mishra, Tony Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, Ashwin Kalyan Conference on Neural Information Processing Systems (NeurIPS), 2022
	In-BoXBART: Get Instructions into Biomedical Multi-task Learning. Mihir Parmar, Swaroop Mishra, Mirali Purohit, Man Luo, M. Hassan Murad, Chitta Baral, North American Chapter of the Association for Computational Linguistics (NAACL), 2022
	Is a Question Decomposition Unit All We Need? Swaroop Mishra, Pruthvi Patel, Mihir Parmar, Chitta Baral Empirical Methods in Natural Language Processing (EMNLP), 2022
	How Many Data Samples is an Additional Instruction Worth? Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar, Chitta Baral Conference of the European Chapter of the Association for Computational Linguistics (EACL) Findings, 2023
	Less is More: Summary of Long Instructions is Better for Program Synthesis Swaroop Mishra, Kirby Kuznia, Mihir Parmar, Chitta Baral Empirical Methods in Natural Language Processing (EMNLP), 2022
	Instruction Learning for Biomedical Table Question Answering Man Luo, Sharad Saxena, Swaroop Mishra, Mihir Parmar, Chitta Baral BioASQ Workshop 2022
	InstructExcel: A Benchmark to Use Excel by Writing Instructions Swaroop Mishra, Justin Payan, Carina Negreanu, Christian Poelitz, Chitta Baral, Andrew D. Gordon, Rasika Chakravarthy, Ben Van Durme, Matt Gardner, Elnaz Nouri Preprint
	Instruction-tuned Models are Quick Learners Himanshu Gupta, Swaroop Mishra, Arindam Mitra, Saurabh Arjun Sawant, Mutsumi Nakamura, Chitta Baral Preprint
	Creating Data Automatically by Instructing GPT3 Kirby Kuznia, Maitreya Patel, Swaroop Mishra, Santosh Mashetty, Savan Doshi, Ravsehaj Singh Puri, Mihir Parmar, Chitta Baral Preprint
	Quantitative Reasoning
	NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Sachdeva, Peter Clark, Chitta Baral, Ashwin Kalyan Annual Meeting of the Association for Computational Linguistics (ACL), 2022
	LILA: A Unified Benchmark for Mathematical Reasoning Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, Ashwin Kalyan Media Coverage Empirical Methods in Natural Language Processing (EMNLP), 2022
	Investigating Generalization and Catastrophic Forgetting in Numerical Reasoning Swaroop Mishra, Chandrahaas Chintalaboguda, Sabyasachi Bisoyi, Chitta Baral Preprint
	John is 50 years old, can his son be 65? Evaluating Language Models' Understanding of Feasibility Himanshu Gupta, Neeraj Varshney, Swaroop Mishra, Kuntal Kumar Pal, Saurabh Arjun Sawant, Kevin Joseph Scaria, Siddharth Goyal, Chitta Baral Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
	Efficient ML & NLP
	ILDAE: Instance-Level Difficulty Analysis of Evaluation Data. Neeraj Varshney, Swaroop Mishra, Chitta Baral Annual Meeting of the Association for Computational Linguistics (ACL), 2022
	Let the Model Decide its Curriculum for Multitask Learning Neeraj Varshney, Swaroop Mishra, Chitta Baral North American Chapter of the Association for Computational Linguistics (NAACL) Workshop, 2022
	How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation Swaroop Mishra, A Arunkumar Conference on Artificial Intelligence (AAAI), 2021
	`Hardness' of Samples Need to be Quantified for a Reliable Evaluation System: Exploring Potential Opportunities with a New Task Swaroop Mishra, Anjana Arunkumar, Chris Bryan, Chitta Baral Preprint
	Commonsense Reasoning with Implicit Knowledge in Natural Language Pratyay Banerjee, Swaroop Mishra, Kuntal Kumar Pal, Arindam Mitra, Chitta Baral Conference on Automated Knowledge Base Construction (AKBC), 2021
	A Visual Exploration of Fair Evaluation for ML - Bridging the Gap Between Research and the Real World A Arunkumar, Swaroop Mishra, C Bryan IEEE Visualization (IEEE VIS) Workshop, 2020
	Front Contribution instead of Back Propagation Swaroop Mishra, A Arunkumar Conference on Neural Information Processing Systems (NeurIPS) Workshop, 2020
	Robustness and Generalization
	Generalized but not Robust? Understanding the Effects of Out-of-Domain Generalization Methods. Tejas Gokhale, Swaroop Mishra, Man Luo*, Bhavdeep Sachdeva, Chitta Baral Annual Meeting of the Association for Computational Linguistics (ACL) Findings, 2022
	Pretrained Transformers May Not Provide More Robust Representation Than Traditional Models On Data with Noisy Labels Swaroop Mishra, Bhavdeep Sachdeva, Chitta Baral Preprint
	Our Evaluation Metric Needs an Update to Encourage Generalization Swaroop Mishra, A Arunkumar, C Bryan, C Baral International Conference on Machine Learning (ICML) Workshop, 2020
	Selective Answering
	Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings. Neeraj Varshney, Swaroop Mishra, Chitta Baral Annual Meeting of the Association for Computational Linguistics (ACL) Findings, 2022
	Towards Improving Selective Prediction Ability of NLP Systems Neeraj Varshney, Swaroop Mishra, Chitta Baral Annual Meeting of the Association for Computational Linguistics (ACL) Workshop, 2022
	Investigating Issues with the Area Under the Curve Metric and Proposing Solutions Swaroop Mishra, Anjana Arunkumar, Chitta Baral Preprint
	Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems Neeraj Varshney, Swaroop Mishra, Chitta Baral Preprint
	Spurious Bias
	Do We Need to Create Big Datasets to Learn a Task? Swaroop Mishra, B Sachdeva Conference on Empirical Methods in Natural Language Processing (EMNLP) Workshop 2020
	Identification and Curation of Parameters to Assess and Quantify the Quality of Benchmarks in NLP Swaroop Mishra, Anjana Arunkumar, Chris Bryan, Chitta Baral Preprint
	Is High Quality Data All You Need? Swaroop Mishra, A Arunkumar Conference on Neural Information Processing Systems (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 Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
	DQI: A Guide to Benchmark Evaluation Swaroop Mishra, A Arunkumar, B Sachdeva, C Bryan, C Baral International Conference on Machine Learning (ICML) Workshop, 2020
	ML & NLP Applications
	Constructing Flow Graphs from Procedural Cyber Security Text Kuntal Kumar Pal, Kazuaki Kashihara, Pratyay Banerjee, Swaroop Mishra*, Ruoyu Wang, Chitta Baral Annual Meeting of the Association for Computational Linguistics (ACL) Findings, 2021
	Towards the Development of Disaster Management Tailored Machine Learning Systems Swaroop Mishra, Manas Kumar Jena, Ashok Kumar Tripathy IEEE International Conference (INDISCON), 2022
	Enabling cyber-physical demand response in smart grids via conjoint communication and controller design. Swaroop Mishra, MP Korukonda, L Behera, A Shukla IET Cyber-Physical Systems: Theory & Applications, 2019
	Hybrid adaptive framework for coordinated control of distributed generators in cyber-physical energy systems MP Korukonda, Swaroop Mishra, K Rajawat, L Behera IET Cyber-Physical Systems: Theory & Applications, 2018
	Handling multi-parametric variations in distributed control of cyber-physical systems through optimal communication design MP Korukonda, Swaroop Mishra, A Shukla, L Behera IET Cyber-Physical Systems: Theory & Applications, 2017
	Improving microgrid voltage stability through cyber-physical control MP Korukonda, Swaroop Mishra, A Shukla, L Behera National Power System Conference (NPSC), 2016
	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 IEEE International Conference on Industrial Informatics (INDIN), 2015

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