| 2026 | AAAI | How Can You Tell if Your Large Language Model Could Be a Closet Antisemite? An Explainability-Based Audit Framework for Implicit Bias. | Arka Dutta, Reza Fayyazi, Shanchieh Yang, Ashiqur R. KhudaBukhsh |
| 2026 | AAAI | NewsLensAI: NER-Guided Summarization for Mitigating Hallucination and Bias in LLM-Based News Summaries (Student Abstract). | Gaurank Maheshwari, Ambika Taploo, Ashiqur R. KhudaBukhsh |
| 2026 | AAAI | Investigating Vaccine Buyer's Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation. | Miles Stanley, Soumyajit Datta, Ashutosh Kumar, Ashiqur R. KhudaBukhsh |
| 2026 | ACL | What About the Scene With the Hitler Reference? HAUNT: A Framework to Probe LLMs' Self-consistency in Closed Domains Via Adversarial Nudge. | Arka Dutta, Sujan Dutta, Rijul Magu, Soumyajit Datta, Munmun De Choudhury, Ashiqur R. KhudaBukhsh |
| 2026 | ACL | Auditing LLM Responses to Harmful Stereotypes Targeting Mental Health Groups. | Arka Dutta, Rijul Magu, Sean Kim, Seohee Yoon, Munmun De Choudhury, Ashiqur R. KhudaBukhsh |
| 2025 | AAAI | All You Need Is S P A C E: When Jailbreaking Meets Bias Audit and Reveals What Lies Beneath the Guardrails (Student Abstract). | Arka Dutta, Aman Priyanshu, Ashiqur R. KhudaBukhsh |
| 2025 | AAAI | ARTICLE: Annotator Reliability Through In-Context Learning. | Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh |
| 2025 | AAAI | ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract). | Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya, Marcos Zampieri, Christopher M. Homan, Ashiqur R. KhudaBukhsh |
| 2025 | AAAI | Audience Engagement with Political Messaging on YouTube Shorts (Student Abstract). | Omkar Narkar, Aman Vohra, Ashiqur R. KhudaBukhsh |
| 2025 | AAAI | When Neutral Summaries Are Not That Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries (Student Abstract). | Supriti Vijay, Aman Priyanshu, Ashiqur R. KhudaBukhsh |
| 2025 | EMNLP | Hope vs. Hate: Understanding User Interactions with LGBTQ+ News Content in Mainstream US News Media through the Lens of Hope Speech. | Jonathan Pofcher, Christopher M. Homan, Randall Sell, Ashiqur R. KhudaBukhsh |
| 2025 | IJCAI | Towards a Bipartisan Understanding of Peace and Vicarious Interactions. | Arka Dutta, Syed Mohammad Sualeh Ali, Usman Naseem, Ashiqur R. KhudaBukhsh |
| 2024 | AAAI | Novax or Novak? Estimating Social Media Stance towards Celebrity Vaccine Hesitancy (Student Abstract). | Madhav Hota, Adel Khorramrouz, Ashiqur R. KhudaBukhsh |
| 2024 | AAAI | Quantifying Political Polarization through the Lens of Machine Translation and Vicarious Offense. | Ashiqur R. KhudaBukhsh |
| 2024 | EMNLP | Rater Cohesion and Quality from a Vicarious Perspective. | Deepak Pandita, Tharindu Cyril Weerasooriya, Sujan Dutta, Sarah Luger, Tharindu Ranasinghe, Ashiqur R. KhudaBukhsh, Marcos Zampieri, Christopher Homan |
| 2024 | IJCAI | Down the Toxicity Rabbit Hole: A Framework to Bias Audit Large Language Models with Key Emphasis on Racism, Antisemitism, and Misogyny. | Arka Dutta, Adel Khorramrouz, Sujan Dutta, Ashiqur R. KhudaBukhsh |
| 2024 | IJCAI | A Survival Guide for Iranian Women Prescribed by Iranian Women: Participatory AI to Investigate Intimate Partner Physical Violence in Iran. | Adel Khorramrouz, Mahbeigom Fayyazi, Ashiqur R. KhudaBukhsh |
| 2024 | ICWSM | Community Needs and Assets: A Computational Analysis of Community Conversations. | Md Towhidul Absar Chowdhury, Naveen Sharma, Ashiqur R. KhudaBukhsh |
| 2024 | WWW | Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response. | Md Towhidul Absar Chowdhury, Soumyajit Datta, Naveen Sharma, Ashiqur R. KhudaBukhsh |
| 2024 | WWW | From Bollywood Son Preference to Moral Policing on Women in Iran - A 360° View of Gender Bias. | Ashiqur R. KhudaBukhsh |
| 2023 | AAAI | Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling. | Clay H. Yoo, Ashiqur R. KhudaBukhsh |
| 2023 | ACL | Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning. | Tharindu Cyril Weerasooriya, Sarah Luger, Saloni Poddar, Ashiqur R. KhudaBukhsh, Christopher Homan |
| 2023 | ACL | Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo. | Tharindu Cyril Weerasooriya, Alexander Ororbia, Raj Bhensadadia, Ashiqur R. KhudaBukhsh, Christopher Homan |
| 2023 | EMNLP | Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive. | Tharindu Cyril Weerasooriya, Sujan Dutta, Tharindu Ranasinghe, Marcos Zampieri, Christopher Homan, Ashiqur R. KhudaBukhsh |
| 2023 | IJCAI | Disentangling Societal Inequality from Model Biases: Gender Inequality in Divorce Court Proceedings. | Sujan Dutta, Parth Srivastava, Vaishnavi Solunke, Swaprava Nath, Ashiqur R. KhudaBukhsh |
| 2023 | IJCAI | For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles. | Adel Khorramrouz, Sujan Dutta, Ashiqur R. KhudaBukhsh |
| 2023 | ICWSM | Partisan US News Media Representations of Syrian Refugees. | Keyu Chen, Marzieh Babaeianjelodar, Yiwen Shi, Kamila Janmohamed, Rupak Sarkar, Ingmar Weber, Thomas Davidson, Munmun De Choudhury, Jonathan Huang, Shweta Yadav, Ashiqur R. KhudaBukhsh, Chris T. Bauch, Preslav Nakov, Orestis Papakyriakopoulos, Koustuv Saha, Kaveh Khoshnood, Navin Kumar |
| 2022 | AAAI | 'Beach' to 'Bitch': Inadvertent Unsafe Transcription of Kids' Content on YouTube. | Krithika Ramesh, Ashiqur R. KhudaBukhsh, Sumeet Kumar |
| 2022 | IJCAI | A Murder and Protests, the Capitol Riot, and the Chauvin Trial: Estimating Disparate News Media Stance. | Sujan Dutta, Beibei Li, Daniel S. Nagin, Ashiqur R. KhudaBukhsh |
| 2022 | IJCAI | Conversational Inequality Through the Lens of Political Interruption. | Clay H. Yoo, Jiachen Wang, Yuxi Luo, Kunal Khadilkar, Ashiqur R. KhudaBukhsh |
| 2021 | AAAI | An Unfair Affinity Toward Fairness: Characterizing 70 Years of Social Biases in BHollywood (Student Abstract). | Kunal Khadilkar, Ashiqur R. KhudaBukhsh |
| 2021 | AAAI | We Don't Speak the Same Language: Interpreting Polarization through Machine Translation. | Ashiqur R. KhudaBukhsh, Rupak Sarkar, Mark S. Kamlet, Tom M. Mitchell |
| 2021 | AAAI | Are Chess Discussions Racist? An Adversarial Hate Speech Data Set (Student Abstract). | Rupak Sarkar, Ashiqur R. KhudaBukhsh |
| 2020 | AAAI | Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas. | Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell |
| 2020 | ECAI | Hope Speech Detection: A Computational Analysis of the Voice of Peace. | Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell |
| 2020 | ECAI | Mining Insights from Large-Scale Corpora Using Fine-Tuned Language Models. | Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell |
| 2020 | ECAI | The Refugee Experience Online: Surfacing Positivity Amidst Hate. | Shriphani Palakodety, Ashiqur R. KhudaBukhsh, Jaime G. Carbonell |
| 2020 | EMNLP | Social Media Attributions in the Context of Water Crisis. | Rupak Sarkar, Sayantan Mahinder, Hirak Sarkar, Ashiqur R. KhudaBukhsh |
| 2020 | IJCAI | Harnessing Code Switching to Transcend the Linguistic Barrier. | Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Jaime G. Carbonell |
| 2019 | PRICAI | Toward Reciprocity-Aware Distributed Learning in Referral Networks. | Ashiqur R. KhudaBukhsh, Jaime G. Carbonell |
| 2018 | EUMAS | Endorsement in Referral Networks. | Ashiqur R. KhudaBukhsh, Jaime G. Carbonell |
| 2018 | ISMIS | Market-Aware Proactive Skill Posting. | Ashiqur R. KhudaBukhsh, Jong Woo Hong, Jaime G. Carbonell |
| 2017 | EUMAS | Incentive Compatible Proactive Skill Posting in Referral Networks. | Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen |
| 2017 | ISMIS | Robust Learning in Expert Networks: A Comparative Analysis. | Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen |
| 2016 | ECAI | Distributed Learning in Expert Referral Networks. | Ashiqur R. KhudaBukhsh, Peter J. Jansen, Jaime G. Carbonell |
| 2016 | EUMAS | Proactive-DIEL in Evolving Referral Networks. | Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen |
| 2015 | CIKM | Building Effective Query Classifiers: A Case Study in Self-harm Intent Detection. | Ashiqur R. KhudaBukhsh, Paul N. Bennett, Ryen W. White |
| 2014 | HCOMP | Detecting Non-Adversarial Collusion in Crowdsourcing. | Ashiqur R. KhudaBukhsh, Jaime G. Carbonell, Peter J. Jansen |
| 2009 | IJCAI | SATenstein: Automatically Building Local Search SAT Solvers from Components. | Ashiqur R. KhudaBukhsh, Lin Xu, Holger H. Hoos, Kevin Leyton-Brown |