most citedFostering the Ecosystem of Open Neural Encoders for Portuguese with Albertina PT* Family

6 citations · 8 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Progressing beyond Art Masterpieces or Touristic Clichés: how to assess your LLMs for cultural alignment?

António Branco, João Silva, Nuno Marques +10

Although the cultural (mis)alignment of Large Language Models (LLMs) has attracted increasing attention -- often framed in terms of cultural bias -- until recently there has been l…

cs.CL2026

CLARIN-PT-LDB: An Open LLM Leaderboard for Portuguese to assess Language, Culture and Civility

João Silva, Luís Gomes, António Branco

This paper reports on the development of a leaderboard of Open Large Language Models (LLM) for European Portuguese (PT-PT), and on its associated benchmarks. This leaderboard comes…

cs.CL2026

Sovereign AI-based Public Services are Viable and Affordable

António Branco, Luís Gomes, Rodrigo Santos +4

The rapid expansion of AI-based remote services has intensified debates about the long-term implications of growing structural concentration in infrastructure and expertise. As AI…

cs.CL2024

Open Sentence Embeddings for Portuguese with the Serafim PT* encoders family

Luís Gomes, António Branco, João Silva +2

Sentence encoder encode the semantics of their input, enabling key downstream applications such as classification, clustering, or retrieval. In this paper, we present Serafim PT*,…

cs.CL2024★ 6 cited

Fostering the Ecosystem of Open Neural Encoders for Portuguese with Albertina PT* Family

Rodrigo Santos, João Rodrigues, Luís Gomes +5

To foster the neural encoding of Portuguese, this paper contributes foundation encoder models that represent an expansion of the still very scarce ecosystem of large language model…

cs.CL2024★ 2 cited

Advancing Generative AI for Portuguese with Open Decoder Gervásio PT*

Rodrigo Santos, João Silva, Luís Gomes +2

To advance the neural decoding of Portuguese, in this paper we present a fully open Transformer-based, instruction-tuned decoder model that sets a new state of the art in this resp…

cs.CL2024

Leveraging LLMs for On-the-Fly Instruction Guided Image Editing

Rodrigo Santos, João Silva, António Branco

The combination of language processing and image processing keeps attracting increased interest given recent impressive advances that leverage the combined strengths of both domain…