Search Results for author: Rodrigo Santos

Found 7 papers, 1 papers with code

Cost-Effective Language Driven Image Editing with LX-DRIM

1 code implementation MMMPIE (COLING) 2022 Rodrigo Santos, António Branco, João Ricardo Silva

Cross-modal language and image processing is envisaged as a way to improve language understanding by resorting to visual grounding, but only recently, with the emergence of neural architectures specifically tailored to cope with both modalities, has it attracted increased attention and obtained promising results.

Visual Grounding

PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for the Neural Processing of Portuguese

no code implementations8 Apr 2024 Tomás Osório, Bernardo Leite, Henrique Lopes Cardoso, Luís Gomes, João Rodrigues, Rodrigo Santos, António Branco

Similarly, the respective fine-tuned neural language models, developed with a low-rank adaptation approach, are made available as baselines that can stimulate future work on the neural processing of Portuguese.

Pix2Pix-OnTheFly: Leveraging LLMs for Instruction-Guided Image Editing

no code implementations12 Mar 2024 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 domains of research.

Image Captioning

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

no code implementations4 Mar 2024 Rodrigo Santos, João Rodrigues, Luís Gomes, João Silva, António Branco, Henrique Lopes Cardoso, Tomás Freitas Osório, Bernardo Leite

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 models specifically developed for this language that are fully open, in the sense that they are open source and openly distributed for free under an open license for any purpose, thus including research and commercial usages.

Advancing Generative AI for Portuguese with Open Decoder Gervásio PT*

no code implementations29 Feb 2024 Rodrigo Santos, João Silva, Luís Gomes, João Rodrigues, António Branco

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 respect.

Decoder

Advancing Neural Encoding of Portuguese with Transformer Albertina PT-*

no code implementations11 May 2023 João Rodrigues, Luís Gomes, João Silva, António Branco, Rodrigo Santos, Henrique Lopes Cardoso, Tomás Osório

To advance the neural encoding of Portuguese (PT), and a fortiori the technological preparation of this language for the digital age, we developed a Transformer-based foundation model that sets a new state of the art in this respect for two of its variants, namely European Portuguese from Portugal (PT-PT) and American Portuguese from Brazil (PT-BR).

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