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Found 4 papers, 2 papers with code
PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for the Neural Processing of Portuguese
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.
On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative Comprehension
A controllable question generation scheme focuses on generating questions with specific attributes, allowing better control.
Fostering the Ecosystem of Open Neural Encoders for Portuguese with Albertina PT* Family
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.
Towards Enriched Controllability for Educational Question Generation
Question Generation (QG) is a task within Natural Language Processing (NLP) that involves automatically generating questions given an input, typically composed of a text and a target answer.
