Julia Kiseleva

According to our database, Julia Kiseleva authored at least 70 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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 Côté, Julia Kiseleva

CoRR, 2024

Towards better Human-Agent Alignment: Assessing Task Utility in LLM-Powered Applications.

Negar Arabzadeh, Julia Kiseleva, Qingyun Wu, Chi Wang, Ahmed Awadallah, Victor Dibia, Adam Fourney, Charles L. A. Clarke

CoRR, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023

Report on the 9th ACM SIGIR / the 13th International Conference on the Theory of Information Retrieval (ICTIR 2023).

Masaharu Yoshioka, Mohammad Aliannejadi, Julia Kiseleva

SIGIR Forum, December, 2023

Managing Tasks across the Work-Life Boundary: Opportunities, Challenges, and Directions.

Alex C. Williams, Shamsi T. Iqbal, Julia Kiseleva, Ryen W. White

ACM Trans. Comput. Hum. Interact., 2023

Transforming Human-Centered AI Collaboration: Redefining Embodied Agents Capabilities through Interactive Grounded Language Instructions.

Shrestha Mohanty, Negar Arabzadeh, Julia Kiseleva, Artem Zholus, Milagro Teruel, Ahmed Awadallah, Yuxuan Sun, Kavya Srinet, Arthur Szlam

CoRR, 2023

Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback.

Nikhil Mehta, Milagro Teruel, Patricio Figueroa Sanz, Xin Deng, Ahmed Hassan Awadallah, Julia Kiseleva

CoRR, 2023

PREME: Preference-based Meeting Exploration through an Interactive Questionnaire.

Negar Arabzadeh, Ali Ahmadvand, Julia Kiseleva, Yang Liu, Ahmed Hassan Awadallah, Ming Zhong, Milad Shokouhi

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

Grounded Task Prioritization with Context-Aware Sequential Ranking.

Chuxu Zhang, Julia Kiseleva, Sujay Kumar Jauhar, Ryen W. White

ACM Trans. Inf. Syst., 2022

Collecting Interactive Multi-modal Datasets for Grounded Language Understanding.

Shrestha Mohanty, Negar Arabzadeh, Milagro Teruel, Yuxuan Sun, Artem Zholus, Alexey Skrynnik, Mikhail Burtsev, Kavya Srinet, Aleksandr Panov, Arthur Szlam, Marc-Alexandre Côté, Julia Kiseleva

CoRR, 2022

Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions.

Alexey Skrynnik, Zoya Volovikova, Marc-Alexandre Côté, Anton Voronov, Artem Zholus, Negar Arabzadeh, Shrestha Mohanty, Milagro Teruel, Ahmed Awadallah, Aleksandr Panov, Mikhail Burtsev, Julia Kiseleva

CoRR, 2022

IGLU Gridworld: Simple and Fast Environment for Embodied Dialog Agents.

Artem Zholus, Alexey Skrynnik, Shrestha Mohanty, Zoya Volovikova, Julia Kiseleva, Arthur Szlam, Marc-Alexandre Côté, Aleksandr I. Panov

CoRR, 2022

IGLU 2022: Interactive Grounded Language Understanding in a Collaborative Environment at NeurIPS 2022.

Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr I. Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah

CoRR, 2022

Supporting Complex Information-Seeking Tasks with Implicit Constraints.

Ali Ahmadvand, Negar Arabzadeh, Julia Kiseleva, Patricio Figueroa Sanz, Xin Deng, Sujay Kumar Jauhar, Michael Gamon, Eugene Agichtein, Ned Friend, Aniruddha

CoRR, 2022

Summarization with Graphical Elements.

Maartje ter Hoeve, Julia Kiseleva, Maarten de Rijke

CoRR, 2022

What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research.

Maartje ter Hoeve, Julia Kiseleva, Maarten de Rijke

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021

Conversational Search and Recommendation: Introduction to the Special Issue.

Claudia Hauff, Julia Kiseleva, Mark Sanderson, Hamed Zamani, Yongfeng Zhang

ACM Trans. Inf. Syst., 2021

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment.

Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr I. Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Michel Galley, Ahmed Hassan Awadallah

CoRR, 2021

A Data-driven Approach to Estimate User Satisfaction in Multi-turn Dialogues.

Ziming Li, Dookun Park, Julia Kiseleva, Young-Bum Kim, Sungjin Lee

CoRR, 2021

Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems.

Ziming Li, Julia Kiseleva, Maarten de Rijke

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition.

Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje ter Hoeve, Zoya Volovikova, Aleksandr Panov, Yuxuan Sun, Kavya Srinet, Arthur Szlam, Ahmed Awadallah, Seungeun Rho, Taehwan Kwon, Daniel Wontae Nam, Felipe Bivort Haiek, Edwin Zhang, Linar Abdrazakov, Guo Qingyam, Jason Zhang, Zhibin Guo

Proceedings of the NeurIPS 2022 Competition Track, 2021

Interactive Grounded Language Understanding in a Collaborative Environment: IGLU 2021.

Julia Kiseleva, Ziming Li, Mohammad Aliannejadi, Shrestha Mohanty, Maartje ter Hoeve, Mikhail Burtsev, Alexey Skrynnik, Artem Zholus, Aleksandr Panov, Kavya Srinet, Arthur Szlam, Yuxuan Sun, Katja Hofmann, Marc-Alexandre Côté, Ahmed Hassan Awadallah, Linar Abdrazakov, Igor Churin, Putra Manggala, Kata Naszádi, Michiel van der Meer, Taewoon Kim

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Learning to Decompose and Organize Complex Tasks.

Yi Zhang, Sujay Kumar Jauhar, Julia Kiseleva, Ryen White, Dan Roth

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions.

Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin, Jeff Dalton, Mikhail Burtsev

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Foreword to the special issue on mining actionable insights from online user generated content.

Marcelo Gabriel Armentano, Ebrahim Bagheri, Julia Kiseleva, Frank W. Takes

Inf. Retr. J., 2020

What Makes a Good Summary? Reconsidering the Focus of Automatic Summarization.

Maartje ter Hoeve, Julia Kiseleva, Maarten de Rijke

CoRR, 2020

ConvAI3: Generating Clarifying Questions for Open-Domain Dialogue Systems (ClariQ).

Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin, Jeff Dalton, Mikhail Burtsev

CoRR, 2020

Optimizing Interactive Systems via Data-Driven Objectives.

Ziming Li, Julia Kiseleva, Alekh Agarwal, Maarten de Rijke, Ryen W. White

CoRR, 2020

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems.

Ziming Li, Julia Kiseleva, Maarten de Rijke

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Evaluating Disentangled Representations.

Anna Sepliarskaia, Julia Kiseleva, Maarten de Rijke

CoRR, 2019

SEntNet: Source-aware Recurrent Entity Network for Dialogue Response Selection.

Jiahuan Pei, Arent Stienstra, Julia Kiseleva, Maarten de Rijke

CoRR, 2019

MAISoN 2019: The 3rd International Workshop on Mining Actionable Insights from Social Networks.

Marcelo Gabriel Armentano, Ebrahim Bagheri, Julia Kiseleva, Frank W. Takes

Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, 2019

Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning.

Ziming Li, Julia Kiseleva, Maarten de Rijke

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

CAIR'18: Second International Workshop on Conversational Approaches to Information Retrieval at SIGIR 2018.

Damiano Spina, Jaime Arguello, Hideo Joho, Julia Kiseleva, Filip Radlinski

SIGIR Forum, 2018

Optimizing Interactive Systems with Data-Driven Objectives.

Ziming Li, Artem Grotov, Julia Kiseleva, Maarten de Rijke, Harrie Oosterhuis

CoRR, 2018

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

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Preference elicitation as an optimization problem.

Anna Sepliarskaia, Julia Kiseleva, Filip Radlinski, Maarten de Rijke

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Calibration: A Simple Way to Improve Click Models.

Alexey Borisov, Julia Kiseleva, Ilya Markov, Maarten de Rijke

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Report on the 11th Russian Summer School in Information Retrieval (RuSSIR 2017).

Pavel Braslavski, Jaap Kamps, Julia Kiseleva, Alexander Halperin

SIGIR Forum, 2017

Evaluating Personal Assistants on Mobile devices.

Julia Kiseleva, Maarten de Rijke

CoRR, 2017

Modeling Label Ambiguity for Neural List-Wise Learning to Rank.

Rolf Jagerman, Julia Kiseleva, Maarten de Rijke

CoRR, 2017

Towards Learning Reward Functions from User Interactions.

Ziming Li, Julia Kiseleva, Maarten de Rijke, Artem Grotov

Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017

Search-Oriented Conversational AI (SCAI).

Mikhail Burtsev, Aleksandr Chuklin, Julia Kiseleva, Alexey Borisov

Proceedings of the ACM SIGIR International Conference on Theory of Information Retrieval, 2017

2016

Beyond Movie Recommendations: Solving the Continuous Cold Start Problem in E-commerceRecommendations.

Julia Kiseleva, Alexander Tuzhilin, Jaap Kamps, Melanie J. I. Müller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Djoerd Hiemstra

CoRR, 2016

Detecting Good Abandonment in Mobile Search.

Kyle Williams, Julia Kiseleva, Aidan C. Crook, Imed Zitouni, Ahmed Hassan Awadallah, Madian Khabsa

Proceedings of the 25th International Conference on World Wide Web, 2016

Overview of the TREC 2016 Contextual Suggestion Track.

Seyyed Hadi Hashemi, Jaap Kamps, Julia Kiseleva, Charles L. A. Clarke, Ellen M. Voorhees

Proceedings of The Twenty-Fifth Text REtrieval Conference, 2016

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

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Predicting User Satisfaction with Intelligent Assistants.

Julia Kiseleva, Kyle Williams, Ahmed Hassan Awadallah, Aidan C. Crook, Imed Zitouni, Tasos Anastasakos

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

An Easter Egg Hunting Approach to Test Collection Building in Dynamic Domains.

Seyyed Hadi Hashemi, Charles L. A. Clarke, Adriel Dean-Hall, Jaap Kamps, Julia Kiseleva

Proceedings of the Seventh International Workshop on Evaluating Information Access, 2016

Understanding User Satisfaction with Intelligent Assistants.

Julia Kiseleva, Kyle Williams, Jiepu Jiang, Ahmed Hassan Awadallah, Aidan C. Crook, Imed Zitouni, Tasos Anastasakos

Proceedings of the 2016 ACM Conference on Human Information Interaction and Retrieval, 2016

2015

The Impact of Technical Domain Expertise on Search Behavior and Task Outcome.

Julia Kiseleva, Alejandro Montes García, Jaap Kamps, Nikita Spirin

CoRR, 2015

Overview of the TREC 2015 Contextual Suggestion Track.

Adriel Dean-Hall, Charles L. A. Clarke, Jaap Kamps, Julia Kiseleva, Ellen M. Voorhees

Proceedings of The Twenty-Fourth Text REtrieval Conference, 2015

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

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Where to Go on Your Next Trip?: Optimizing Travel Destinations Based on User Preferences.

Julia Kiseleva, Melanie J. I. Müller, Lucas Bernardi, Chad Davis, Ivan Kovacek, Mats Stafseng Einarsen, Jaap Kamps, Alexander Tuzhilin, Djoerd Hiemstra

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Using Contextual Information to Understand Searching and Browsing Behavior.

Julia Kiseleva

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

On the Reusability of Open Test Collections.

Seyyed Hadi Hashemi, Charles L. A. Clarke, Adriel Dean-Hall, Jaap Kamps, Julia Kiseleva

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Contextual Search and Exploration.

Julia Kiseleva, Jaap Kamps, Charles L. A. Clarke

Proceedings of the Information Retrieval, 2015

The Continuous Cold-start Problem in e-Commerce Recommender Systems.

Lucas Bernardi, Jaap Kamps, Julia Kiseleva, Melanie J. I. Müller

Proceedings of the 2nd Workshop on New Trends on Content-Based Recommender Systems co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), 2015

Online Evaluation of Point-Of-Interest Recommendation Systems.

Adriel Dean-Hall, Charles L. A. Clarke, Jaap Kamps, Julia Kiseleva

Proceedings of the First International Workshop on Supporting Complex Search Tasks co-located with the 37th European Conference on Information Retrieval (ECIR 2015), 2015

Behavioral Dynamics from the SERP's Perspective: What are Failed SERPs and How to Fix Them?

Julia Kiseleva, Jaap Kamps, Vadim Nikulin, Nikita Makarov

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Applying Learning to Rank Techniques to Contextual Suggestions.

Julia Kiseleva, Alejandro Montes García, Yongming Luo, Mykola Pechenizkiy, Paul De Bra, Jaap Kamps

Proceedings of The Twenty-Third Text REtrieval Conference, 2014

Modelling and Detecting Changes in User Satisfaction.

Julia Kiseleva, Eric Crestan, Riccardo Brigo, Roland Ditte

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Discovering temporal hidden contexts in web sessions for user trail prediction.

Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders

Proceedings of the 22nd International World Wide Web Conference, 2013

Context mining and integration into predictive web analytics.

Julia Kiseleva

Proceedings of the 22nd International World Wide Web Conference, 2013

Predicting Current User Intent with Contextual Markov Models.

Julia Kiseleva, Hoang Thanh Lam, Mykola Pechenizkiy, Toon Calders

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

2011

Mining query structure from click data: a case study of product queries.

Julia Kiseleva, Eugene Agichtein, Daniel Billsus

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Unsupervised query segmentation using click data: preliminary results.

Julia Kiseleva, Qi Guo, Eugene Agichtein, Daniel Billsus, Wei Chai

Proceedings of the 19th International Conference on World Wide Web, 2010

2008

Grouping Web Users based on Query Log.

Julia Kiseleva

Proceedings of the Advances in Databases and Information Systems, 2008