activity
20212026
most citedExplainability for Transparent Conversational Information-Seeking

17 citations · 23 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CL2026

RADIUS: Ranking, Distribution, and Significance - A Comprehensive Alignment Suite for Survey Simulation

Weronika Łajewska, Paul Missault, George Davidson +1

Simulation of surveys using LLMs is emerging as a powerful application for generating human-like responses at scale. Prior work evaluates survey simulation using metrics borrowed f…

cs.IR2026

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…

cs.IR2025

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…

cs.CL2025

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…

cs.AI2025

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…

cs.IR202417 cited

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…