Papers with task-specific fine-tuning stage

1 papers
Contrastive Learning for Task-Independent SpeechLLM-Pretraining (2025.findings-acl)

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Challenge: Large language models excel in speech processing tasks but their reliance on written text limits their application in real-world scenarios.
Approach: They propose a task-independent speech pretraining stage and task-specific fine-tuning stage to adapt LLMs to speech processing tasks.
Outcome: The proposed model outperforms models specialized on speech translation and question answering while being trained on 10% of the task-specific data.

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