6 citations · 13 across the 6 of their papers we have counts for
6 papers
Hands-off Image Editing: Language-guided Editing without any Task-specific Labeling, Masking or even Training
Rodrigo Santos, António Branco, João Silva +1
Instruction-guided image editing consists in taking an image and an instruction and deliverring that image altered according to that instruction. State-of-the-art approaches to thi…
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*,…
Meta-prompting Optimized Retrieval-augmented Generation
João Rodrigues, António Branco
Retrieval-augmented generation resorts to content retrieved from external sources in order to leverage the performance of large language models in downstream tasks. The excessive v…
PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for the Neural Processing of Portuguese
Tomás Osório, Bernardo Leite, Henrique Lopes Cardoso +4
Leveraging research on the neural modelling of Portuguese, we contribute a collection of datasets for an array of language processing tasks and a corresponding collection of fine-t…
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…
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…