17 citations · 44 across the 14 of their papers we have counts for
8 papers · 1 filter
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…
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…
Explainability for Transparent Conversational Information-Seeking
Weronika Łajewska, Damiano Spina, Johanne Trippas +1
The increasing reliance on digital information necessitates advancements in conversational search systems, particularly in terms of information transparency. While prior research i…
Estimating the Usefulness of Clarifying Questions and Answers for Conversational Search
Ivan Sekulić, Weronika Łajewska, Krisztian Balog +1
While the body of research directed towards constructing and generating clarifying questions in mixed-initiative conversational search systems is vast, research aimed at processing…
Towards Reliable and Factual Response Generation: Detecting Unanswerable Questions in Information-Seeking Conversations
Weronika Łajewska, Krisztian Balog
Generative AI models face the challenge of hallucinations that can undermine users' trust in such systems. We approach the problem of conversational information seeking as a two-st…
Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation
Weronika Łajewska, Krisztian Balog
Research on conversational search has so far mostly focused on query rewriting and multi-stage passage retrieval. However, synthesizing the top retrieved passages into a complete,…