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FastSLM: Hierarchical Temporal Abstraction for Efficient Long-Form Speech Adaptation
Scaling Multimodal Large Language Models (MLLMs) to long-form speech is bottlenecked by the explosive growth of input tokens. Existing speech-language models project high-frame-rate acoustic features directly into the LLM input space, making long-context processing computationally prohibitive. Unlik
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