| 2025 | SIGIR | IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents. | Shrestha Mohanty, Negar Arabzadeh, Andrea Tupini, Yuxuan Sun, Alexey Skrynnik, Artem Zholus, Marc-Alexandre Ct, Julia Kiseleva |
| 2024 | EACL | Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback. | Nikhil Mehta, Milagro Teruel, Xin Deng, Sergio Figueroa Sanz, Ahmed Awadallah, Julia Kiseleva |
| 2024 | EMNLP | Assessing and Verifying Task Utility in LLM-Powered Applications. | Negar Arabzadeh, Siqing Huo, Nikhil Mehta, Qingyun Wu, Chi Wang, Ahmed Awadallah, Charles L. A. Clarke, Julia Kiseleva |
| 2023 | EACL | PREME: Preference-based Meeting Exploration through an Interactive Questionnaire. | Negar Arabzadeh, Ali Ahmadvand, Julia Kiseleva, Yang Liu, Ahmed Hassan Awadallah, Ming Zhong, Milad Shokouhi |
| 2022 | NAACL | What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research. | Maartje ter Hoeve, Julia Kiseleva, Maarten de Rijke |
| 2021 | EMNLP | Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions. | Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin, Jeff Dalton, Mikhail Burtsev |
| 2021 | NAACL | Learning to Decompose and Organize Complex Tasks. | Yi Zhang, Sujay Kumar Jauhar, Julia Kiseleva, Ryen White, Dan Roth |
| 2021 | SIGIR | Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems. | Ziming Li, Julia Kiseleva, Maarten de Rijke |
| 2020 | EMNLP | Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems. | Ziming Li, Julia Kiseleva, Maarten de Rijke |
| 2020 | EMNLP | Guided Dialogue Policy Learning without Adversarial Learning in the Loop. | Ziming Li, Sungjin Lee, Baolin Peng, Jinchao Li, Julia Kiseleva, Maarten de Rijke, Shahin Shayandeh, Jianfeng Gao |
| 2019 | AAAI | Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning. | Ziming Li, Julia Kiseleva, Maarten de Rijke |
| 2019 | ICTIR | MAISoN 2019: The 3rd International Workshop on Mining Actionable Insights from Social Networks. | Marcelo Gabriel Armentano, Ebrahim Bagheri, Julia Kiseleva, Frank W. Takes |
| 2018 | CIKM | Calibration: A Simple Way to Improve Click Models. | Alexey Borisov, Julia Kiseleva, Ilya Markov, Maarten de Rijke |
| 2018 | RecSys | Preference elicitation as an optimization problem. | Anna Sepliarskaia, Julia Kiseleva, Filip Radlinski, Maarten de Rijke |
| 2018 | SIGIR | Second International Workshop on Conversational Approaches to Information Retrieval (CAIR'18): Workshop at SIGIR 2018. | Jaime Arguello, Filip Radlinski, Hideo Joho, Damiano Spina, Julia Kiseleva |
| 2017 | ICTIR | Search-Oriented Conversational AI (SCAI). | Mikhail Burtsev, Aleksandr Chuklin, Julia Kiseleva, Alexey Borisov |
| 2017 | ICTIR | Towards Learning Reward Functions from User Interactions. | Ziming Li, Julia Kiseleva, Maarten de Rijke, Artem Grotov |
| 2016 | CHIIR | Understanding User Satisfaction with Intelligent Assistants. | Julia Kiseleva, Kyle Williams, Jiepu Jiang, Ahmed Hassan Awadallah, Aidan C. Crook, Imed Zitouni, Tasos Anastasakos |
| 2016 | WWW | Detecting Good Abandonment in Mobile Search. | Kyle Williams, Julia Kiseleva, Aidan C. Crook, Imed Zitouni, Ahmed Hassan Awadallah, Madian Khabsa |
| 2016 | SIGIR | Predicting User Satisfaction with Intelligent Assistants. | Julia Kiseleva, Kyle Williams, Ahmed Hassan Awadallah, Aidan C. Crook, Imed Zitouni, Tasos Anastasakos |
| 2016 | SIGIR | Is This Your Final Answer?: Evaluating the Effect of Answers on Good Abandonment in Mobile Search. | Kyle Williams, Julia Kiseleva, Aidan C. Crook, Imed Zitouni, Ahmed Hassan Awadallah, Madian Khabsa |
| 2015 | CIKM | Behavioral Dynamics from the SERP's Perspective: What are Failed SERPs and How to Fix Them? | Julia Kiseleva, Jaap Kamps, Vadim Nikulin, Nikita Makarov |
| 2015 | ECIR | Online Evaluation of Point-Of-Interest Recommendation Systems. | Adriel Dean-Hall, Charles L. A. Clarke, Jaap Kamps, Julia Kiseleva |
| 2015 | RecSys | The Continuous Cold-start Problem in e-Commerce Recommender Systems. | Lucas Bernardi, Jaap Kamps, Julia Kiseleva, Melanie J. I. Mller |
| 2015 | SIGIR | On the Reusability of Open Test Collections. | Seyyed Hadi Hashemi, Charles L. A. Clarke, Adriel Dean-Hall, Jaap Kamps, Julia Kiseleva |
| 2015 | SIGIR | Using Contextual Information to Understand Searching and Browsing Behavior. | Julia Kiseleva |
| 2015 | SIGIR | Where to Go on Your Next Trip?: Optimizing Travel Destinations Based on User Preferences. | Julia Kiseleva, Melanie J. I. Mller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Jaap Kamps, Alexander Tuzhilin, Djoerd Hiemstra |
| 2015 | SIGIR | Relevance-aware Filtering of Tuples Sorted by an Attribute Value via Direct Optimization of Search Quality Metrics. | Nikita V. Spirin, Mikhail P. Kuznetsov, Julia Kiseleva, Yaroslav V. Spirin, Pavel A. Izhutov |
| 2014 | CIKM | Modelling and Detecting Changes in User Satisfaction. | Julia Kiseleva, Eric Crestan, Riccardo Brigo, Roland Ditte |
| 2013 | ICDM | Predicting Current User Intent with Contextual Markov Models. | Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders |
| 2013 | WWW | Context mining and integration into predictive web analytics. | Julia Kiseleva |
| 2013 | WWW | Discovering temporal hidden contexts in web sessions for user trail prediction. | Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders |
| 2011 | CIKM | Mining query structure from click data: a case study of product queries. | Julia Kiseleva, Eugene Agichtein, Daniel Billsus |
| 2010 | WWW | Unsupervised query segmentation using click data: preliminary results. | Julia Kiseleva, Qi Guo, Eugene Agichtein, Daniel Billsus, Wei Chai |
| 2008 | ADBIS | Grouping Web Users based on Query Log. | Julia Kiseleva |