For a more up-to-date list of my publications, please check my Google Scholar.

2025

• Mothilal, R. K., Zhang, S., Ahmed, S. I., & Guha, S. (2025). Reasoning About Reasoning: Towards Informed and Reflective Use of LLM Reasoning in HCI. arXiv preprint arXiv:2510.22978.
• Nimo, C., Liu, S., Chen, A. Z., Mothilal, R. K., & Best, M. L. (2025). Community-Driven Data Practices for Advancing Ethical and Equitable AI in Low-Resource Language Contexts. Proceedings of the ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, 844–847.
• Mothilal, R. K., Roy, J., Ahmed, S. I., & Guha, S. (2025). Human-Aligned Faithfulness in Toxicity Explanations of LLMs. arXiv preprint arXiv:2506.19113.
• Mothilal, R. K., Lalani, F. M., Ahmed, S. I., Guha, S., & Sultana, S. (2025, April). Talking About the Assumption in the Room. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems (pp. 1-16).

2024

• Kommiya Mothilal, R., Guha, S., & Ahmed, S. I. (2024). Towards a non-ideal methodological framework for responsible ML. Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, 1–17.

2022

• Mehta, D., Diddee, H., Saxena, A., Shukla, A., Santy, S., Mothilal, R. K., Srivastava, B. M. L., Sharma, A., Prasad, V., Bali, K., & others. (2022). Learnings from Technological Interventions in a Low Resource Language: Enhancing Information Access in Gondi. arXiv preprint arXiv:2211.16172.
• Akbar, S. Z., Sharma, A., Mishra, D., Mothilal, R. K., Negi, H., Nishal, S., Panda, A., & Pal, J. (2022). Devotees on an astroturf: Media, politics, and outrage in the suicide of a popular FilmStar. Proceedings of the 5th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, 453–475.
• Arya, A., De, S., Mishra, D., Shekhawat, G., Sharma, A., Panda, A., Lalani, F., Singh, P., Mothilal, R. K., Grover, R., & others. (2022). Dismiss: Database of Indian social media influencers on twitter. Proceedings of the International AAAI Conference on Web and Social Media, 16, 1201–1207.
• Kommiya Mothilal, R., Mishra, D., Nishal, S., Lalani, F. M., & Pal, J. (2022). Voting with the stars: Analyzing partisan engagement between celebrities and politicians in India. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW1), 1–29.
• Vaghela, P., Mothilal, R. K., Romero, D., & Pal, J. (2022). Caste capital on twitter: A formal network analysis of caste relations among indian politicians. Proceedings of the ACM on Human-Computer Interaction, 6(CSCW1), 1–29.

2021

• Vaghela, P., K Mothilal, R., & Pal, J. (2021). Birds of a caste-how caste hierarchies manifest in retweet behavior of indian politicians. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW3), 1–24.
• Kommiya Mothilal, R., Mahajan, D., Tan, C., & Sharma, A. (2021). Towards unifying feature attribution and counterfactual explanations: Different means to the same end. Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 652–663.

2020

• Vaghela, P., Mothilal, R. K., & Pal, J. (2020). Indian Political Twitter and Caste Discrimination--How Representation Does Not Equal Inclusion in Lok Sabha Networks. arXiv preprint arXiv:2007.15863.
• Mehta, D., Mothilal, R. K., Sharma, A., Thies, W., & Sharma, A. (2020). Using mobile airtime credits to incentivize learning, sharing and survey response: Experiences from the field. Proceedings of the 3rd ACM SIGCAS Conference on Computing and Sustainable Societies, 254–264.
• Panda, A., Kommiya Mothilal, R., Choudhury, M., Bali, K., & Pal, J. (2020). Topical focus of political campaigns and its impact: Findings from politicians' hashtag use during the 2019 indian elections. Proceedings of the ACM on Human-Computer Interaction, 4(CSCW1), 1–14.
• Mehta, D., Sharma, A., Kommiya Mothilal, R. K., Chiraag, Shukla, A., Prasad, V., Thies, W., U, V., Scott, C., & Sharma, A. (2020). Facilitating Media Distribution with Monetary Incentives. Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 1–7.
• Mothilal, R. K., Sharma, A., & Tan, C. (2020). Explaining machine learning classifiers through diverse counterfactual explanations. Proceedings of the 2020 conference on fairness, accountability, and transparency, 607–617.

2019

• Kommiya Mothilal, R., Mehta, D., Sharma, A., Thies, W., & Sharma, A. (2019). Learnings from an Ongoing Deployment of an IVR-based Platform for Voter Awareness. Companion Publication of the 2019 Conference on Computer Supported Cooperative Work and Social Computing, 257–261.
• Lalani, F. M., Kommiya Mothilal, R., & Pal, J. (2019). The appeal of influencers to the social media outreach of Indian politicians. Companion Publication of the 2019 Conference on Computer Supported Cooperative Work and Social Computing, 267–271.
• Mothilal, R. K., Yadav, A., & Sharma, A. (2019). Optimizing peer referrals for public awareness using contextual bandits. Proceedings of the 2nd ACM SIGCAS Conference on Computing and Sustainable Societies, 74–85.

2018

• De Laet, T., Mothilal, R. K., Broos, T., & Pinxten, M. (2018). Predicting First-year engineering student success: From traditional statistics to machine learning. Proceedings of the 46th SEFI Annual Conference 2018, 46, 322–329.
• Mothilal, K. R. (2018). Statistical modeling of students’ performance in an open-admission bachelor program in Flanders. Leuven: KU Leuven. Faculteit Ingenieurswetenschappen.

2016

• Ramaravind, K. M., Shravan, T. R., & Omkar, S. N. (2016). Scale adaptive object tracker with occlusion handling. International Journal of Image, Graphics and Signal Processing, 8(1), 27.

2015

• Ajmera, J., Siddharthan, P. R., Ramaravind, K. M., Vasan, G., Balaji, N., & Sankaranarayanan, V. (2015). Autonomous visual tracking and landing of a quadrotor on a moving platform. 2015 Third International Conference on Image Information Processing (ICIIP), 342–347.