17 citations · 44 across the 14 of their papers we have counts for
16 papers
Wiki-Talkie: Multilingual Benchmarking of Persona-Based Agents on Real-World Discussions
Dennis Fucci, Andrea Bacciu, Dong Liu +2
LLMs are increasingly deployed as autonomous agents in social environments, making it critical to study their ability to faithfully simulate human interactions. Central to this is…
Data-Driven Personas for Survey Simulation: Insights into Simulation Alignment Across Data-Access Regimes
Dongryeol Lee, Weronika Łajewska, Leonardo Perelli +1
Large language models (LLMs) offer new opportunities for public opinion research by enabling early prediction of survey responses, potentially reducing the cost and time of traditi…
RADIUS: Ranking, Distribution, and Significance - A Comprehensive Alignment Suite for Survey Simulation
Weronika Łajewska, Paul Missault, George Davidson +1
Simulating survey responses with LLMs offers a scalable alternative to costly human data collection, yet evaluation methods remain ad hoc and inconsistent. Current metrics, typical…
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…
Understanding and Improving Information Preservation in Prompt Compression for LLMs
Weronika Łajewska, Momchil Hardalov, Laura Aina +3
Recent advancements in large language models (LLMs) have enabled their successful application to a broad range of tasks. However, in information-intensive tasks, the prompt length…
Semantic Web and Creative AI -- A Technical Report from ISWS 2023
Raia Abu Ahmad, Reham Alharbi, Roberto Barile +74
The International Semantic Web Research School (ISWS) is a week-long intensive program designed to immerse participants in the field. This document reports a collaborative effort p…
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,…
An Ecosystem for Personal Knowledge Graphs: A Survey and Research Roadmap
Martin G. Skjæveland, Krisztian Balog, Nolwenn Bernard +2
This paper presents an ecosystem for personal knowledge graphs (PKGs), commonly defined as resources of structured information about entities related to an individual, their attrib…
From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track
Weronika Lajewska, Krisztian Balog
This paper reports on an effort of reproducing the organizers' baseline as well as the top performing participant submission at the 2021 edition of the TREC Conversational Assistan…
DAGFiNN: A Conversational Conference Assistant
Ivica Kostric, Krisztian Balog, Tølløv Alexander Aresvik +10
DAGFiNN is a conversational conference assistant that can be made available for a given conference both as a chatbot on the website and as a Furhat robot physically exhibited at th…
ProtagonistTagger -- a Tool for Entity Linkage of Persons in Texts from Various Languages and Domains
Weronika Lajewska, Anna Wroblewska
Named entities recognition (NER) and disambiguation (NED) can add semantic context to the recognized named entities in texts. Named entity linkage in texts, regardless of a domain,…
Protagonists' Tagger in Literary Domain -- New Datasets and a Method for Person Entity Linkage
Weronika Łajewska, Anna Wróblewska
Semantic annotation of long texts, such as novels, remains an open challenge in Natural Language Processing (NLP). This research investigates the problem of detecting person entiti…