activity
20242026
most citedCan Users Detect Biases or Factual Errors in Generated Responses in Conversational Information-Seeking?

3 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Personality Anchoring for Social Simulation: Linking Personality, Social Behavior, and Interaction Success with LLM Agents

Vahid Sadiri Javadi, Aksa Aksa, Fryderyk Róg +2

Social interactions are shaped by the interplay of dispositional traits and situational context, yet systematically investigating how personality configurations between individuals…

cs.CL2025

Mario at EXIST 2025: A Simple Gateway to Effective Multilingual Sexism Detection

Lin Tian, Johanne R. Trippas, Marian-Andrei Rizoiu

This paper presents our approach to EXIST 2025 Task 1, addressing text-based sexism detection in English and Spanish tweets through hierarchical Low-Rank Adaptation (LoRA) of Llama…

cs.IR2025★ 2 cited

The Effects of Demographic Instructions on LLM Personas

Angel Felipe Magnossão de Paula, J. Shane Culpepper, Alistair Moffat +3

Social media platforms must filter sexist content in compliance with governmental regulations. Current machine learning approaches can reliably detect sexism based on standardized…

cs.IR2024★ 3 cited

Can Users Detect Biases or Factual Errors in Generated Responses in Conversational Information-Seeking?

Weronika Łajewska, Krisztian Balog, Damiano Spina +1

Information-seeking dialogues span a wide range of questions, from simple factoid to complex queries that require exploring multiple facets and viewpoints. When performing explorat…

cs.IR2024★ 1 cited

Report on the Workshop on Simulations for Information Access (Sim4IA 2024) at SIGIR 2024

Timo Breuer, Christin Katharina Kreutz, Norbert Fuhr +15

This paper is a report of the Workshop on Simulations for Information Access (Sim4IA) workshop at SIGIR 2024. The workshop had two keynotes, a panel discussion, nine lightning talk…