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20242026
most citedMultimodal Machine Learning in Mental Health: A Survey of Data, Algorithms, and Challenges

1 citations · 2 across the 11 of their papers we have counts for

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cs.CL2026

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…

cs.CL2026

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2024★ 1 cited

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…