| 2024 | EMNLP | Adaptive Question Answering: Enhancing Language Model Proficiency for Addressing Knowledge Conflicts with Source Citations. | Sagi Shaier, Ari Kobren, Philip V. Ogren |
| 2022 | ACL | Upstream Mitigation Is Not All You Need: Testing the Bias Transfer Hypothesis in Pre-Trained Language Models. | Ryan Steed, Swetasudha Panda, Ari Kobren, Michael L. Wick |
| 2022 | EMNLP | Don't Just Clean It, Proxy Clean It: Mitigating Bias by Proxy in Pre-Trained Models. | Swetasudha Panda, Ari Kobren, Michael L. Wick, Qinlan Shen |
| 2021 | WSDM | Online Post-Processing in Rankings for Fair Utility Maximization. | Ananya Gupta, Eric Johnson, Justin Payan, Aditya Kumar Roy, Ari Kobren, Swetasudha Panda, Jean-Baptiste Tristan, Michael L. Wick |
| 2019 | ACL | Optimal Transport-based Alignment of Learned Character Representations for String Similarity. | Derek Tam, Nicholas Monath, Ari Kobren, Aaron Traylor, Rajarshi Das, Andrew McCallum |
| 2019 | ICML | Supervised Hierarchical Clustering with Exponential Linkage. | Nishant Yadav, Ari Kobren, Nicholas Monath, Andrew McCallum |
| 2019 | KDD | Constructing High Precision Knowledge Bases with Subjective and Factual Attributes. | Ari Kobren, Pablo Barrio, Oksana Yakhnenko, Johann Hibschman, Ian Langmore |
| 2019 | KDD | Paper Matching with Local Fairness Constraints. | Ari Kobren, Barna Saha, Andrew McCallum |
| 2019 | KDD | Scalable Hierarchical Clustering with Tree Grafting. | Nicholas Monath, Ari Kobren, Akshay Krishnamurthy, Michael R. Glass, Andrew McCallum |
| 2017 | KDD | A Hierarchical Algorithm for Extreme Clustering. | Ari Kobren, Nicholas Monath, Akshay Krishnamurthy, Andrew McCallum |
| 2015 | WWW | Getting More for Less: Optimized Crowdsourcing with Dynamic Tasks and Goals. | Ari Kobren, Chun How Tan, Panagiotis G. Ipeirotis, Evgeniy Gabrilovich |
| 2013 | CIKM | Assessing confidence of knowledge base content with an experimental study in entity resolution. | Michael L. Wick, Sameer Singh, Ari Kobren, Andrew McCallum |