| 2026 | EACL | Long-Context Long-Form Question Answering for Legal Domain. | Anagha Kulkarni, Parin Rajesh Jhaveri, Prasha Shrestha, Yu Tong Han, Reza Amini, Behrouz Madahian |
| 2024 | SIGCSE | Socially Responsible Computing in an Introductory Course. | Aakash Gautam, Anagha Kulkarni, Sarah Hug, Jane Lehr, Ilmi Yoon |
| 2023 | CHI | Improved Image Caption Rating - Datasets, Game, and Model. | Andrew Taylor Scott, Lothar D. Narins, Anagha Kulkarni, Mar Castanon, Benjamin Kao, Shasta Ihorn, Yue-Ting Siu, Ilmi Yoon |
| 2022 | SoCS | Trajectory Constraint Heuristics for Optimal Probabilistic Planning. | John R. Peterson, Anagha Kulkarni, Emil Keyder, Joseph Kim, Shlomo Zilberstein |
| 2021 | ICMLA | Towards Intelligent Reading through Multimodal and Contextualized Word LookUp. | Swetha Govindu, Raviteja Vidya Guttula, Swati Kohli, Poonam Patil, Anagha Kulkarni, Ilmi Yoon |
| 2021 | IJCAI | A Unifying Bayesian Formulation of Measures of Interpretability in Human-AI Interaction. | Sarath Sreedharan, Anagha Kulkarni, David E. Smith, Subbarao Kambhampati |
| 2021 | SIGCSE | Computer Science Identity Development in Diverse Student Populations: A Qualitative Study. | Yordanos A. Mogos, Shasta M. Ihorn, Ilmi Yoon, Anagha Kulkarni |
| 2020 | ICMLA | Using Text Analytics on Reflective Journaling to Identify Cultural Capitals for STEM Students. | Karuna Nayak, Shailesh Krishna, Khanh Tran, Marissa Harris, Ana Maria Barrera, Kim Coble, Anagha Kulkarni |
| 2020 | IROS | Designing Environments Conducive to Interpretable Robot Behavior. | Anagha Kulkarni, Sarath Sreedharan, Sarah Keren, Tathagata Chakraborti, David E. Smith, Subbarao Kambhampati |
| 2020 | SIGCSE | Student Psychological Factors and Diversity in Computer Science Education. | Shasta Ihorn, Ilmi Yoon, Anagha Kulkarni |
| 2019 | AAAI | A Unified Framework for Planning in Adversarial and Cooperative Environments. | Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati |
| 2018 | AAAI | Automated Question Answering System for Community-Based Questions. | Chanin Pithyaachariyakul, Anagha Kulkarni |
| 2018 | IROS | Projection-Aware Task Planning and Execution for Human-in-the-Loop Operation of Robots in a Mixed-Reality Workspace. | Tathagata Chakraborti, Sarath Sreedharan, Anagha Kulkarni, Subbarao Kambhampati |
| 2018 | ITiCSE | Promoting diversity in computing. | Anagha Kulkarni, Ilmi Yoon, Pleuni S. Pennings, Kazunori Okada, Carmen Domingo |
| 2018 | PSB | GeneDive: A gene interaction search and visualization tool to facilitate precision medicine. | Paul Previde, Brook Thomas, Mike Wong, Emily K. Mallory, Dragutin Petkovic, Russ B. Altman, Anagha Kulkarni |
| 2017 | ICRA | Plan explicability and predictability for robot task planning. | Yu Zhang, Sarath Sreedharan, Anagha Kulkarni, Tathagata Chakraborti, Hankz Hankui Zhuo, Subbarao Kambhampati |
| 2017 | LDK | Answering the Hard Questions. | Maria Khvalchik, Chanin Pithyaachariyakul, Anagha Kulkarni |
| 2015 | SPIRE | ShRkC: Shard Rank Cutoff Prediction for Selective Search. | Anagha Kulkarni |
| 2012 | CIKM | Shard ranking and cutoff estimation for topically partitioned collections. | Anagha Kulkarni, Almer S. Tigelaar, Djoerd Hiemstra, Jamie Callan |
| 2012 | SIGIR | Creating temporally dynamic web search snippets. | Krysta M. Svore, Jaime Teevan, Susan T. Dumais, Anagha Kulkarni |
| 2011 | WSDM | Understanding temporal query dynamics. | Anagha Kulkarni, Jaime Teevan, Krysta M. Svore, Susan T. Dumais |
| 2010 | CIKM | Document allocation policies for selective searching of distributed indexes. | Anagha Kulkarni, Jamie Callan |
| 2010 | SIGIR | Topic-based Index Partitions for Efficient and Effective Selective Search. | Anagha Kulkarni, Jamie Callan |
| 2008 | ACL | Dictionary Definitions based Homograph Identification using a Generative Hierarchical Model. | Anagha Kulkarni, Jamie Callan |
| 2008 | ITS | Word Sense Disambiguation for Vocabulary Learning. | Anagha Kulkarni, Michael Heilman, Maxine Esknazi, Jamie Callan |
| 2007 | CICLING | Unsupervised Discrimination of Person Names in Web Contexts. | Ted Pedersen, Anagha Kulkarni |
| 2006 | AAAI | How Many Different "John Smiths", and Who Are They? | Anagha Kulkarni, Ted Pedersen |
| 2006 | CICLING | An Unsupervised Language Independent Method of Name Discrimination Using Second Order Co-occurrence Features. | Ted Pedersen, Anagha Kulkarni, Roxana Angheluta, Zornitsa Kozareva, Thamar Solorio |
| 2006 | EACL | Selecting the "Right" Number of Senses Based on Clustering Criterion Functions. | Ted Pedersen, Anagha Kulkarni |
| 2006 | NAACL | Automatic Cluster Stopping with Criterion Functions and the Gap Statistic. | Ted Pedersen, Anagha Kulkarni |
| 2005 | AAAI | Identifying Similar Words and Contexts in Natural Language with SenseClusters. | Ted Pedersen, Anagha Kulkarni |
| 2005 | ACL | Unsupervised Discrimination and Labeling of Ambiguous Names. | Anagha Kulkarni |
| 2005 | ACL | SenseClusters: Unsupervised Clustering and Labeling of Similar Contexts. | Anagha Kulkarni, Ted Pedersen |
| 2005 | CICLING | Name Discrimination by Clustering Similar Contexts. | Ted Pedersen, Amruta Purandare, Anagha Kulkarni |