Swarnadeep Saha


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I am a fourth year CS PhD student in the MURGe Lab (part of the bigger UNC NLP Lab) at the University of North Carolina at Chapel Hill, advised by Prof. Mohit Bansal. My PhD is supported by a Google PhD Fellowship and a Rebecca and Munroe Cobey Fellowship.

My broad research interests are in interpretable machine learning and natural language processing. I am generally interested in multi-step reasoning problems (over text and semi-structured data), often referred to as the System 2 Reasoning. In the past, I have developed interpretable models that can generate Natural Language Proofs for formal reasoning (EMNLP 2020, NAACL 2021), Explanation Graphs for structured commonsense reasoning (EMNLP 2021, ACL 2022), Summarization Programs for abstractive summarization (arxiv 2022), and Multi-step Reasoning Paths for Text Generation from semi-structured data (arxiv 2022). I also wrote a paper on connecting explainability to data hardness (EMNLP 2022). During my PhD, I have spent two wonderful summers interning at FAIR Labs, Meta AI Research and Salesforce AI Research.

Before starting my PhD, I was a Research Engineer at IBM Research - India building industry-scale Intelligent Tutoring Systems (IJCAI 2019, CIKM 2018, AIED 2018). Even before that, I was an M.Tech. student in the CS department at IIT, Delhi, having worked with Prof. Mausam and developed the state-of-the-art Open Information Extraction system (Open IE 5.0) (ACL 2017, COLING 2018).

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