Planning for Goal-Oriented Dialogue Systems. - Christian Muise; Tathagata Chakraborti; Shubham Agarwal 002; Ondrej Bajgar; Arunima Chaudhary; Luis Alfonso Lastras-Montaño; Josef Ondrej; Miroslav Vodolán; Charlie Wiecha (CoRR, 2019)

AutoAI: Automating the End-to-End AI Lifecycle with Humans-in-the-Loop. - Dakuo Wang; Parikshit Ram; Daniel Karl I. Weidele; Sijia Liu 001; Michael J. Muller; Justin D. Weisz; Abel N. Valente; Arunima Chaudhary; Dustin Ramsey Torres; Horst Samulowitz; Lisa Amini (IUI Companion, 2020)

IBM AutoAI: Human-in-the-Loop Automated Machine Learning Supports Data Scientists to Build Better Models. - Dakuo Wang; Josh Andres; Justin D. Weisz; Erick Oduor; Udayan Khurana; Horst Samulowitz; Arunima Chaudhary; Abel N. Valente; Dustin Ramsey Torres; Casey Dugan (DaSH@KDD, 2020)

AutoText: An End-to-End AutoAI Framework for Text. - Arunima Chaudhary; Alayt Issak; Kiran Kate; Yannis Katsis; Abel N. Valente; Dakuo Wang; Alexandre V. Evfimievski; Sairam Gurajada; Ban Kawas; A. Cristiano I. Malossi; Lucian Popa 001; Tejaswini Pedapati; et al. (AAAI, 2021)

Data-Debugging Through Interactive Visual Explanations. - Shazia Afzal; Arunima Chaudhary; Nitin Gupta 005; Hima Patel; Carolina Spina; Dakuo Wang (PAKDD (Workshops), 2021)

A Goal-Driven Natural Language Interface for Creating Application Integration Workflows. - Michelle Brachman; Christopher Bygrave; Tathagata Chakraborti; Arunima Chaudhary; Zhining Ding; Casey Dugan; David Gros; Thomas Gschwind; James M. Johnson; Jim Laredo; Christoph Miksovic; Qian Pan; et al. (AAAI, 2022)

Follow the Successful Herd: Towards Explanations for Improved Use and Mental Models of Natural Language Systems. - Michelle Brachman; Qian Pan; Hyo Jin Do; Casey Dugan; Arunima Chaudhary; James M. Johnson; Priyanshu Rai; Tathagata Chakraborti; Thomas Gschwind; Jim Alain Laredo; Christoph Miksovic; Paolo Scotton; et al. (IUI, 2023)