SIGIR-AP ’24 full paper accepted

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The paper Can Users Detect Biases or Factual Errors in Generated Responses in Conversational Information-Seeking? by Weronika Łajewska, Krisztian Balog, Damiano Spina, and Johanne Trippas has been accepted at the 2nd International ACM SIGIR Conference on Information Retrieval in the Asia Pacific (SIGIR-AP ’24). The preprint will follow soon.

CUI ’24 and ICTIR ’24 papers on user simulation

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Some recent paper acceptances on user simulation in conversational information access:

  • Identifying Breakdowns in Conversational Recommender Systems using User Simulation — full paper at CUI ’24 by Nolwenn Bernard and Krisztian Balog [PDF]
  • Towards a Formal Characterization of User Simulation Objectives in Conversational Information Access — full paper at ICTIR ’24 by Nolwenn Bernard and Krisztian Balog [PDF]

PKG API presented at WWW ’24

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The PKG API is a tool for managing personal knowledge graphs (PKGs), which has been developed by our group (Nolwenn Bernard, Ivica Kostric, Weronika Łajewska, Krisztian Balog, Petra Galuscakova, Vinay Setty, and Martin G. Skjæveland). This work is a first step toward the realization of our proposed PKG ecosystem and has been presented at the 2024 ACM Web Conference, in Singapore. Have a look at the paper or the toolkit for more details.

Papers accepted at SIGIR’24

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Our group has the following papers accepted at SIGIR’24:

  • Explainability for Transparent Conversational Information-Seeking — full paper by Weronika Łajewska, Damiano Spina, Johanne Trippas and Krisztian Balog
  • A Surprisingly Simple yet Effective Multi-Query Rewriting Method for Conversational Passage Retrieval — short paper by Ivica Kostric and Krisztian Balog
  • The Surprising Effectiveness of Rankers trained on Expanded Queries — short paper by Abhijit Anand, Venktesh V, Vinay Setty and Avishek Anand
  • Dataset and Models for Item Recommendation Using Multi-Modal User Interactions — resource paper by Simone Borg Bruun, Krisztian Balog, and Maria Maistro
  • QuantTemp: A Real-world Open-domain Benchmark for Fact-checking Numerical Claims — resource paper by Venktesh V, Abhijit Anand, Avishek Anand and Vinay Setty
  • FactCheck Editor: Multilingual Text Editor with End-to-End fact-checking — demo paper by Vinay Setty

In addition, our group is also involved with the organization of the Simulations for Information Access (Sim4IA) workshop.

Preprints will follow soon.

MovieBot 2.0 demo paper presented at WSDM’24

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IAI MovieBot is a conversational recommender system for movies developed by members of our group, Javeria Habib, Krisztian Balog, Nolwenn Bernard, Ivica Kostric, Weronika Łajewska, Martin G. Skjæveland, and Shuo Zhang. This work has been demonstrated at the 17th ACM International Conference on Web Search and Data Mining (WSDM’24), in Merida, Mexico. Have a look at the demo paper or the repository to learn more about our movie recommender system.