2 citations · 2 across the 3 of their papers we have counts for
3 papers
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
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…
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…