AI RESEARCH
Distilling Conversations: Abstract Compression of Conversational Audio Context for LLM-based ASR
arXiv CS.AI
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ArXi:2603.26246v1 Announce Type: cross Standard LLM-based speech recognition systems typically process utterances in isolation, limiting their ability to leverage conversational context. In this work, we study whether multimodal context from prior turns improves LLM-based ASR and how to represent that context efficiently. We find that, after supervised multi-turn