arXiv:2509.19249v2 Announce Type: replace Abstract: The growing disparity between the exponential scaling of computational resources and the finite growth of...

arXiv:2509.15373v2 Announce Type: replace Abstract: This paper introduces three self-contained data augmentation methods for low-resource Automatic Speech Recognition (ASR). Our...

In this tutorial, we walk through an advanced end-to-end data science workflow where we combine traditional machine learning with the...

arXiv:2506.00236v2 Announce Type: replace-cross Abstract: Parameter-efficient fine-tuning (PEFT) methods, such as LoRA, offer compact and effective alternatives to full model...

arXiv:2509.19861v1 Announce Type: new Abstract: This paper describes the participation of the SINAI-UJA team in the eRisk@CLEF 2025 lab. Specifically,...

arXiv:2509.19640v1 Announce Type: new Abstract: Patents play a critical role in driving technological innovation by granting inventors exclusive rights to...

arXiv:2509.19643v1 Announce Type: cross Abstract: Community engagement processes in representative political contexts, like school districts, generate massive volumes of feedback...

arXiv:2509.03148v2 Announce Type: replace Abstract: The Romansh language, spoken in Switzerland, has limited resources for machine translation evaluation. In this...

arXiv:2509.19231v1 Announce Type: cross Abstract: We present ChiReSSD, a speech reconstruction framework that preserves children speaker’s identity while suppressing mispronunciations....