Esteban Garces Arias

This paper presents the first end-to-end pipeline for Handwritten Text Recognition (HTR) for Old Nepali, a historically significant but low-resource language. We adopt a line-level transcription approach and systematically explore encoder-decoder architectures and data-centric techniques to impro...

The quality of text generated by large language models depends critically on the decoding sampling strategy. While mainstream methods such as Top- k , Top- p , and Min- p achieve a balance between diversity and accuracy through probability-space truncation, they share an inherent limitation: extr...

Imbalanced data are commonly present in real-world applications. While data synthesis can effectively mitigate data scarcity for rare classes, and LLMs have revolutionized text generation, the application of LLMs to the synthesis of relational/structured tabular data remains underexplored. Moreov...