Anubrata Das

26 papers B 3Misc 1Journal 16Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
Finding Pareto trade-offs in fair and accurate detection of toxic speech.
Inf. Res.
Soumyajit Gupta, Venelin Kovatchev, Anubrata Das, Maria De-Arteaga, Matthew Lease
2025 J jnl
Linear Representation Transferability Hypothesis: Leveraging Small Models to Steer Large Models.
CoRR
Femi Bello, Anubrata Das, Fanzhi Zeng, Fangcong Yin, Liu Leqi
2025 — conf
On Localizing and Deleting Toxic Memories in Large Language Models.
NAACL (Findings)
Anubrata Das, Manoj Kumar, Ninareh Mehrabi, Anil Ramakrishna, Anna Rumshisky, Kai-Wei Chang, Aram Galstyan, Morteza Ziyadi, Rahul Gupta
2024 J jnl
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI.
Proc. ACM Hum. Comput. Interact.
Houjiang Liu, Anubrata Das, Alexander Boltz, Didi Zhou, Daisy Pinaroc, Matthew Lease, Min Kyung Lee
2023 J jnl
Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AI.
CoRR
Houjiang Liu, Anubrata Das, Alexander Boltz, Didi Zhou, Daisy Pinaroc, Matthew Lease, Min Kyung Lee
2023 J jnl
The State of Human-centered NLP Technology for Fact-checking.
CoRR
Anubrata Das, Houjiang Liu, Venelin Kovatchev, Matthew Lease
2023 J jnl
The state of human-centered NLP technology for fact-checking.
Inf. Process. Manag.
Anubrata Das, Houjiang Liu, Venelin Kovatchev, Matthew Lease
2023 B conf
True or false? Cognitive load when reading COVID-19 news headlines: an eye-tracking study.
CHIIR
Li Shi, Nilavra Bhattacharya, Anubrata Das, Jacek Gwizdka
2023 J jnl
True or false? Cognitive load when reading COVID-19 news headlines: an eye-tracking study.
CoRR
Li Shi, Nilavra Bhattacharya, Anubrata Das, Jacek Gwizdka
2022 J jnl
Fairness in Information Access Systems.
Found. Trends Inf. Retr.
Michael D. Ekstrand, Anubrata Das, Robin Burke, Fernando Diaz
2022 — ch.
Fairness in Recommender Systems.
Recommender Systems Handbook
Michael D. Ekstrand, Anubrata Das, Robin Burke, Fernando Diaz
2022 — conf
ProtoTEx: Explaining Model Decisions with Prototype Tensors.
ACL (1)
Anubrata Das, Chitrank Gupta, Venelin Kovatchev, Matthew Lease, Junyi Jessy Li
2022 J jnl
ProtoTEx: Explaining Model Decisions with Prototype Tensors.
CoRR
Anubrata Das, Chitrank Gupta, Venelin Kovatchev, Matthew Lease, Junyi Jessy Li
2022 B conf
The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims.
CHIIR
Li Shi, Nilavra Bhattacharya, Anubrata Das, Matt Lease, Jacek Gwizdka
2022 J jnl
The Effects of Interactive AI Design on User Behavior: An Eye-tracking Study of Fact-checking COVID-19 Claims.
CoRR
Li Shi, Nilavra Bhattacharya, Anubrata Das, Matthew Lease, Jacek Gwizdka
2022 J jnl
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks.
CoRR
Venelin Kovatchev, Trina Chatterjee, Venkata Subrahmanyan Govindarajan, Jifan Chen, Eunsol Choi, Gabriella Chronis, Anubrata Das, Katrin Erk, Matthew Lease, Junyi Jessy Li, Yating Wu, Kyle Mahowald
2021 J jnl
Fairness and Discrimination in Information Access Systems.
CoRR
Michael D. Ekstrand, Anubrata Das, Robin Burke, Fernando Diaz
2021 Misc conf
Pareto Solutions vs Dataset Optima: Concepts and Methods for Optimizing Competing Objectives with Constraints in Retrieval.
ICTIR
Soumyajit Gupta, Gurpreet Singh, Anubrata Das, Matthew Lease
2021 J jnl
The Case for Claim Difficulty Assessment in Automatic Fact Checking.
CoRR
Prakhar Singh, Anubrata Das, Junyi Jessy Li, Matthew Lease
2020 B conf
Fast, Accurate, and Healthier: Interactive Blurring Helps Moderators Reduce Exposure to Harmful Content.
HCOMP
Anubrata Das, Brandon Dang, Matthew Lease
2019 J jnl
A Conceptual Framework for Evaluating Fairness in Search.
CoRR
Anubrata Das, Matthew Lease
2019 J jnl
CobWeb: A Research Prototype for Exploring User Bias in Political Fact-Checking.
CoRR
Anubrata Das, Kunjan Mehta, Matthew Lease
2019 — conf
Dataset bias: A case study for visual question answering.
ASIST
Anubrata Das, Samreen Anjum, Danna Gurari
2019 J jnl
FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval.
SIGIR Forum
Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David D. Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud F. Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima
2016 — conf
Interactive information crowdsourcing for disaster management using SMS and Twitter: A research prototype.
PerCom Workshops
Anubrata Das, Neeratyoy Mallik, Somprakash Bandyopadhyay, Sipra Das Bit, Jayanta Basak
2014 — conf
Predicting Trends in the Twitter Social Network: A Machine Learning Approach.
SEMCCO
Anubrata Das, Moumita Roy, Soumi Dutta, Saptarshi Ghosh, Asit Kumar Das