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CrossEdit is presented, a unified omni-modal editing model for images, audio, and video that performs AV movie scene edits zero-shot through cross-modal transfer and proposes AV-FES, a metric that jointly scores instruction following and consistency.
This work investigates ESPnet-SpeechLM as a token-based backbone for generating SD hypotheses, formulating SD as autoregressive generation of structured tokens conditioned on acoustic input and shows that outputs generated by SpeechLMs encode useful temporal SD structure, but full-meeting SD remains limited by recordin...
This work refine warm-initialized LLM-based ASR models by leveraging their own pre-adaptation base LLMs by leveraging their own pre-adaptation base LLMs, focusing on LoRA-adapted settings where the base LLM is preserved.
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