5 citations · 11 across the 5 of their papers we have counts for
5 papers
"Stupid robot, I want to speak to a human!" User Frustration Detection in Task-Oriented Dialog Systems
Mireia Hernandez Caralt, Ivan Sekulić, Filip Carević +9
Detecting user frustration in modern-day task-oriented dialog (TOD) systems is imperative for maintaining overall user satisfaction, engagement, and retention. However, most recent…
Towards Self-Contained Answers: Entity-Based Answer Rewriting in Conversational Search
Ivan Sekulić, Krisztian Balog, Fabio Crestani
Conversational information-seeking (CIS) is an emerging paradigm for knowledge acquisition and exploratory search. Traditional web search interfaces enable easy exploration of enti…
Reliable LLM-based User Simulator for Task-Oriented Dialogue Systems
Ivan Sekulić, Silvia Terragni, Victor Guimarães +5
In the realm of dialogue systems, user simulation techniques have emerged as a game-changer, redefining the evaluation and enhancement of task-oriented dialogue (TOD) systems. Thes…
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…
Analyzing Coherency in Facet-based Clarification Prompt Generation for Search
Oleg Litvinov, Ivan Sekulić, Mohammad Aliannejadi +1
Clarifying user's information needs is an essential component of modern search systems. While most of the approaches for constructing clarifying prompts rely on query facets, the i…