Author

M. Ravanelli

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#natural language process... Preprint Sep 2026

Time-Incremental Continued Pretraining of LLMs: Knowledge Updates Without Catastrophic Forgetting

Large language models (LLMs) drift out of date the moment their pretraining ends, yet retraining from scratch is prohibitively expensive. Continued pretraining (CPT) is the natural remedy, but it is typically evaluated through a continual learning lens that assumes disjoint data streams. This is a poor fit for time-inc...

Firat Öncel, S. Ali, M. Ravanelli et al. · 0 citations

#natural language process... Preprint Aug 2026

Enhancing Audio Reasoning via Semantic Summary Prediction

Large Audio Language Models (LALMs) perform well on complex question answering but often show a reasoning gap, where explicit Chain-of-Thought (CoT) reduces accuracy compared to direct answers. We hypothesize that long reasoning sequences shift attention away from the audio input. To address this, we propose SPARE (Sem...

Francesco Bonzi, Pooneh Mousavi, Cem Subakan et al. · 1 citation

#artificial intelligence Preprint Sep 2026

ZipCodec: Ultra-Low-Frame-Rate Streaming Speech Coding

Neural audio codecs are a fundamental component of modern speech generation systems. While recent codecs achieve increasingly low bitrates, reducing frame rate remains challenging, as each token must preserve more information while maintaining reconstruction quality. We present ZipCodec, a streaming neural speech codec...

Luca Della Libera, Cem Subakan, M. Ravanelli · 0 citations