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cs.CL2025
Ladder Up, Memory Down: Low-Cost Fine-Tuning With Side Nets
Estelle Zheng, Nathan Cerisara, Sébastien Warichet +2
Fine-tuning large language models (LLMs) is often limited by the memory available on commodity GPUs. Parameter-efficient fine-tuning (PEFT) methods such as QLoRA reduce the number…
eess.AS2025
Computational Narrative Understanding for Expressive Text-to-Speech
Gaspard Michel, Elena V. Epure, Christophe Cerisara
Recent advances in text-to-speech (TTS) have been driven by large, multi-domain speech corpora, yet the expressive potential of audiobook data remains underexamined. We argue that…