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A Standardized Re-evaluation of Conversational Recommender Systems on the ReDial Dataset
Ivica Kostric, Krisztian Balog
Recent years have seen a surge of research into conversational recommender systems (CRS). Among existing datasets, ReDial is the most widely used benchmark, cited in hundreds of st…
Trust Me on This: A User Study of Trustworthiness for RAG Responses
Weronika Łajewska, Krisztian Balog
The integration of generative AI into information access systems often presents users with synthesized answers that lack transparency. This study investigates how different types o…
RecQuest: Towards Estimating User Domain Knowledge in Conversational Recommender Systems
Ivica Kostric, Ujwal Gadiraju, Krisztian Balog
The ideal conversational recommender system (CRS) acts like a savvy salesperson, adapting its language and suggestions to a user's expertise level. However, most current systems tr…
SciNUP: Natural Language User Interest Profiles for Scientific Literature Recommendation
Mariam Arustashvili, Krisztian Balog
The use of natural language (NL) user profiles in recommender systems offers greater transparency and user control compared to traditional representations. However, there is scarci…
UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses
Weronika Łajewska, Ivica Kostric, Gabriel Iturra-Bocaz +2
Retrieval-augmented generation (RAG) faces challenges related to factual correctness, source attribution, and response completeness. The LiveRAG Challenge hosted at SIGIR'25 aims t…