1 citations · 1 across the 13 of their papers we have counts for
13 papers
Fine PT-PT Web: A High-Quality 41 Billion Tokens Data Collection of the European Portuguese Web
Gonçalo Vinagre, Rui Pedro Guerra, Pedro Gomes +7
Curating Web corpora for regional language variants like European Portuguese (PT-PT) is heavily bottlenecked by dialectal overlap (mainly with PT-BR) and data processing scale. Thi…
Large-Scale User Behavior Analysis in Multimodal AI-Assisted Manual Task Execution
Rafael Ferreira, Diogo Tavares, Diogo Glória-Silva +2
Conversational Task Assistants (CTAs) are multimodal dialogue systems that support users in complex real-world tasks such as cooking and DIY through voice, text, image, and video i…
AMALIA-VL: A Native European Portuguese Open-Source Vision and Language Model
Diogo Glória-Silva, João Cardeira, Manuel Letras da Luz +8
Large Vision and Language Models (LVLMs) have advanced rapidly, yet European Portuguese (pt-PT) remains systematically underserved by existing open-source multimodal models, which…
P3B3: A Multi-Turn Conversational Benchmark for Measuring European and Brazilian Portuguese Variety Bias in LLMs
Rafael Ferreira, Inês Vieira, Inês Calvo +6
As Large Language Models (LLMs) become embedded in everyday communication, capturing regional linguistic variation is essential for reliable and equitable language use. In Portugue…
PorTEXTO: A European Portuguese Benchmark for Visual Text Extraction
João Cardeira, Diogo Glória-Silva, Manuel Letras da Luz +4
European Portuguese (pt-PT) is largely absent from Optical Character Recognition (OCR) benchmarks, which skew toward high-resource languages. The few benchmarks that cover pt-PT fo…
ALBA: A European Portuguese Benchmark for Evaluating Language and Linguistic Dimensions in Generative LLMs
Inês Vieira, Inês Calvo, Iago Paulo +6
As Large Language Models (LLMs) expand across multilingual domains, evaluating their performance in under-represented languages becomes increasingly important. European Portuguese…
AMALIA Technical Report: A Fully Open Source Large Language Model for European Portuguese
Afonso Simplício, Gonçalo Vinagre, Miguel Moura Ramos +19
Despite rapid progress in open large language models (LLMs), European Portuguese (pt-PT) remains underrepresented in both training data and native evaluation, with machine-translat…
RedTWIZ: Diverse LLM Red Teaming via Adaptive Attack Planning
Artur Horal, Daniel Pina, Henrique Paz +7
This paper presents the vision, scientific contributions, and technical details of RedTWIZ: an adaptive and diverse multi-turn red teaming framework, to audit the robustness of Lar…
Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures
Tyler A. Chang, Catherine Arnett, Abdelrahman Sadallah +377
To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we pre…
MoralCLIP: Contrastive Alignment of Vision-and-Language Representations with Moral Foundations Theory
Ana Carolina Condez, Diogo Tavares, João Magalhães
Recent advances in vision-language models have enabled rich semantic understanding across modalities. However, these encoding methods lack the ability to interpret or reason about…
Plan-Grounded Large Language Models for Dual Goal Conversational Settings
Diogo Glória-Silva, Rafael Ferreira, Diogo Tavares +2
Training Large Language Models (LLMs) to follow user instructions has been shown to supply the LLM with ample capacity to converse fluently while being aligned with humans. Yet, it…
TWIZ-v2: The Wizard of Multimodal Conversational-Stimulus
Rafael Ferreira, Diogo Tavares, Diogo Silva +6
In this report, we describe the vision, challenges, and scientific contributions of the Task Wizard team, TWIZ, in the Alexa Prize TaskBot Challenge 2022. Our vision, is to build T…
Task Conditioned BERT for Joint Intent Detection and Slot-filling
Diogo Tavares, Pedro Azevedo, David Semedo +2
Dialogue systems need to deal with the unpredictability of user intents to track dialogue state and the heterogeneity of slots to understand user preferences. In this paper we inve…