1 citations · 2 across the 11 of their papers we have counts for
12 papers
Scaling Multilingual Safety and Reasoning Evaluation through Reasoning-Guided Translation
Zahraa Al Sahili, Ioannis Patras, Matthew Purver
Large language models (LLMs) are increasingly deployed across languages, yet their safety and reasoning capabilities remain predominantly evaluated in English. Translating existing…
Environmental, Social and Governance Sentiment Analysis on Slovene News: A Novel Dataset and Models
Paula Dodig, Boshko Koloski, Katarina Sitar Šuštar +2
Environmental, Social, and Governance (ESG) considerations are increasingly integral to assessing corporate performance, reputation, and long-term sustainability. Yet, reliable ESG…
Multilingual Cognitive Impairment Detection in the Era of Foundation Models
Damar Hoogland, Boshko Koloski, Jaya Caporusso +5
We evaluate cognitive impairment (CI) classification from transcripts of speech in English, Slovene, and Korean. We compare zero-shot large language models (LLMs) used as direct cl…
FairJudge: Abstention-Aware Multimodal Judges for Fairness and Alignment Evaluation in Text-to-Image Models
Zahraa Al Sahili, Maimuna Nowaz, Maryam Fetanat +2
Evaluating text-to-image (T2I) systems requires judging not only whether an image matches a prompt, but also whether socially salient attributes are represented faithfully and with…
A Computational Framework to Identify Self-Aspects in Text
Jaya Caporusso, Matthew Purver, Senja Pollak
This Ph.D. proposal introduces a plan to develop a computational framework to identify Self-aspects in text. The Self is a multifaceted construct and it is reflected in language. W…
Referential ambiguity and clarification requests: comparing human and LLM behaviour
Chris Madge, Matthew Purver, Massimo Poesio
In this work we examine LLMs' ability to ask clarification questions in task-oriented dialogues that follow the asynchronous instruction-giver/instruction-follower format. We prese…
Breaking Language Barriers or Reinforcing Bias? A Study of Gender and Racial Disparities in Multilingual Contrastive Vision Language Models
Zahraa Al Sahili, Ioannis Patras, Matthew Purver
Multilingual vision-language models (VLMs) promise universal image-text retrieval, yet their social biases remain underexplored. We perform the first systematic audit of four publi…
Data Matters Most: Auditing Social Bias in Contrastive Vision Language Models
Zahraa Al Sahili, Ioannis Patras, Matthew Purver
Vision-language models (VLMs) deliver strong zero-shot recognition but frequently inherit social biases from their training data. We systematically disentangle three design factors…
Evaluating and explaining training strategies for zero-shot cross-lingual news sentiment analysis
Luka Andrenšek, Boshko Koloski, Andraž Pelicon +3
We investigate zero-shot cross-lingual news sentiment detection, aiming to develop robust sentiment classifiers that can be deployed across multiple languages without target-langua…
Multimodal Machine Learning in Mental Health: A Survey of Data, Algorithms, and Challenges
Zahraa Al Sahili, Ioannis Patras, Matthew Purver
Multimodal machine learning (MML) is rapidly reshaping the way mental-health disorders are detected, characterized, and longitudinally monitored. Whereas early studies relied on is…
FairCoT: Enhancing Fairness in Text-to-Image Generation via Chain of Thought Reasoning with Multimodal Large Language Models
Zahraa Al Sahili, Ioannis Patras, Matthew Purver
In the domain of text-to-image generative models, biases inherent in training datasets often propagate into generated content, posing significant ethical challenges, particularly i…
A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Media
Jaya Caporusso, Damar Hoogland, Mojca Brglez +3
Dehumanisation involves the perception and or treatment of a social group's members as less than human. This phenomenon is rarely addressed with computational linguistic techniques…