Month-Long, In-Home Socially Assistive Robot for Children with Diverse Needs. - Caitlyn Clabaugh; Shomik Jain; Balasubramanian Thiagarajan; Zhonghao Shi; Leena Mathur; Kartik Mahajan; Gisele Ragusa; Maja J. Mataric (ISER, 2018)

Long-Term Personalization of an In-Home Socially Assistive Robot for Children With Autism Spectrum Disorders. - Caitlyn Clabaugh; Kartik Mahajan; Shomik Jain; Roxanna Pakkar; David Becerra; Zhonghao Shi; Eric Deng; Rhianna Lee; Gisele Ragusa; Maja J. Mataric (Frontiers Robotics AI, 2019)

Adversarial Perturbations Fool Deepfake Detectors. - Apurva Gandhi; Shomik Jain (IJCNN, 2020)

Modeling engagement in long-term, in-home socially assistive robot interventions for children with autism spectrum disorders. - Shomik Jain; Balasubramanian Thiagarajan; Zhonghao Shi; Caitlyn Clabaugh; Maja J. Mataric (Sci. Robotics, 2020)

Nowcasting Gentrification Using Airbnb Data. - Shomik Jain; Davide Proserpio; Giovanni Quattrone; Daniele Quercia (Proc. ACM Hum. Comput. Interact., 2021)

Toward Personalized Affect-Aware Socially Assistive Robot Tutors for Long-Term Interventions with Children with Autism. - Zhonghao Shi; Thomas R. Groechel; Shomik Jain; Kourtney Chima; Ognjen (Oggi) Rudovic; Maja J. Mataric (ACM Trans. Hum. Robot Interact., 2022)

Algorithmic Pluralism: A Structural Approach Towards Equal Opportunity. - Shomik Jain; Vinith M. Suriyakumar; Ashia Wilson (CoRR, 2023)

As an AI Language Model, "Yes I Would Recommend Calling the Police": Norm Inconsistency in LLM Decision-Making. - Shomik Jain; Dana Calacci; Ashia Wilson (AIES (1), 2024)

Automating Transparency Mechanisms in the Judicial System Using LLMs: Opportunities and Challenges. - Ishana Shastri; Shomik Jain; Barbara Engelhardt; Ashia Wilson (AIES (1), 2024)

Algorithmic Pluralism: A Structural Approach To Equal Opportunity. - Shomik Jain; Vinith M. Suriyakumar; Kathleen Creel; Ashia Wilson (FAccT, 2024)

Position: Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized. - Shomik Jain; Kathleen Creel; Ashia Camage Wilson (ICML, 2024)

Facebook Political Ads and Accountability: Outside Groups Are Most Negative, Especially When Hiding Donors. - Shomik Jain; Abby K. Wood (ICWSM, 2024)

Scarce Resource Allocations That Rely On Machine Learning Should Be Randomized. - Shomik Jain; Kathleen Creel; Ashia Wilson (CoRR, 2024)

Allocation Multiplicity: Evaluating the Promises of the Rashomon Set. - Shomik Jain; Margaret Wang; Kathleen Creel; Ashia Wilson (FAccT, 2025)

Reality Check: A New Evaluation Ecosystem Is Necessary to Understand AI's Real World Effects. - Reva Schwartz; Rumman Chowdhury; Akash Kundu; Heather Frase; Marzieh Fadaee; Tom David; Gabriella Waters; Afaf Taik; Morgan Briggs; Patrick Hall; Shomik Jain; Kyra Yee; et al. (CoRR, 2025)