Can we make Speech LLMs actually think as they listen? 👂💭 This fascinating work applies CoT inspired by human “thinking while listening”, training models to find the inflection point when reasoning starts. 📄 arxiv.org/abs/2510.07497

🤔 Ever wondered how discrete tokens vs. continuous features behave in SpeechLLMs? This new work dives into 6 SLU tasks and reveals some interesting takeaways! arxiv.org/abs/2508.17863

Speech-language models show promise in multimodal tasks—but how well are speech & text actually aligned? 🤔 This paper arxiv.org/abs/2505.19937 proposes a new metric to measure layer-wise correlation between the two, with a focus on SLU tasks. 🔍🗣️📄

Should speech come before the instruction text, or should the instruction text come first in a speech-language model? Find out the best positioning for speech and text—and the novel adapter that aligns speech and text modalities! arxiv.org/abs/2412.01145