We have a PhD position in Large Language Models for Recommendation, funded by the NorwAI research-based innovation center. See the details on jobbnorge. Application deadline is Oct 31.
SIGIR-AP ’24 full paper accepted
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.
CIKM ’24 paper on Question Generation for Fact-Checking
QuestGen: Effectiveness of Question Generation Methods for Fact-Checking Applications by Ritvik Setty and Vinay Setty has been accepted at the 33rd ACM International Conference on Information and Knowledge Management (CIKM’24) as a short paper.
Best Paper Honorable Mention Award at ICTIR’24
The paper Towards a Formal Characterization of User Simulation Objectives in Conversational Information Access by Nolwenn Bernard and Krisztian Balog received the Best Paper Honorable Mention Award at the 14th International Conference on the Theory of Information Retrieval (ICTIR ’24). The paper is available here.
CUI ’24 and ICTIR ’24 papers on user simulation
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
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.
Best Short Paper Award at ECIR’24
The paper Towards Reliable and Factual Response Generation: Detecting Unanswerable Questions in Information-seeking Conversations by Weronika Łajewska and Krisztian Balog has received the Best Short Paper Award at the 46th European Conference on Information Retrieval (ECIR ’24). You can read the paper here.
Papers accepted at SIGIR’24
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.
Peter Røysland Aarnes joins IAI
We welcome Peter Røysland Aarnes as our new PhD student, who will focus his research on explainable AI for fact-checking. Funded by the SFI MediaFutures research center, he will contribute to the Media Content Production & Analysis work package, under the supervision of Vinay Setty.
MovieBot 2.0 demo paper presented at WSDM’24
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.