Yasmin Moslem, a researcher at the ADAPT Centre and @tcddublin.bsky.social, has had two papers accepted for presentation at the prestigious International Conference on Spoken Language Translation (#IWSLT) 2025. Learn more: www.adaptcentre.ie/news-and-eve...

Efficient Speech Translation through Model Compression and Knowledge Distillation Efficient deployment of large audio-language models for speech translation remains challenging due to their significant computational requirements. In this paper, we address this challenge through our...

Deployment of large audio-language models is challenging. In our #IWSLT2025 research, we compressed Qwen2-Audio-7B to be 50% smaller, while retaining #speech translation quality. We used a mix of ✂️ iterative layer pruning, 💿quantization, and 📚knowledge distillation. #NLProc

arxiv.org/abs/2505.20237