| 2025 | NAACL | On Localizing and Deleting Toxic Memories in Large Language Models. | Anubrata Das, Manoj Kumar, Ninareh Mehrabi, Anil Ramakrishna, Anna Rumshisky, Kai-Wei Chang, Aram Galstyan, Morteza Ziyadi, Rahul Gupta |
| 2023 | CHIIR | True or false? Cognitive load when reading COVID-19 news headlines: an eye-tracking study. | Li Shi, Nilavra Bhattacharya, Anubrata Das, Jacek Gwizdka |
| 2022 | ACL | ProtoTEx: Explaining Model Decisions with Prototype Tensors. | Anubrata Das, Chitrank Gupta, Venelin Kovatchev, Matthew Lease, Junyi Jessy Li |
| 2022 | CHIIR | The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims. | Li Shi, Nilavra Bhattacharya, Anubrata Das, Matt Lease, Jacek Gwizdka |
| 2021 | ICTIR | Pareto Solutions vs Dataset Optima: Concepts and Methods for Optimizing Competing Objectives with Constraints in Retrieval. | Soumyajit Gupta, Gurpreet Singh, Anubrata Das, Matthew Lease |
| 2020 | HCOMP | Fast, Accurate, and Healthier: Interactive Blurring Helps Moderators Reduce Exposure to Harmful Content. | Anubrata Das, Brandon Dang, Matthew Lease |
| 2016 | PERCOM | Interactive information crowdsourcing for disaster management using SMS and Twitter: A research prototype. | Anubrata Das, Neeratyoy Mallik, Somprakash Bandyopadhyay, Sipra Das Bit, Jayanta Basak |