From Oracle to Noisy Context: Mitigating Contextual Exposure Bias in Speech-LLMs | ScienceToStartup | ScienceToStartup

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"This research introduces a novel training framework to significantly improve the robustness of speech-to-LLM models against noisy and error-prone contextual information during inference, leading to more reliable real-world performance."

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From Oracle to Noisy Context: Mitigating Contextual Exposure Bias in Speech-LLMs

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"This research introduces a novel training framework to significantly improve the robustness of speech-to-LLM models against noisy and error-prone contextual information during inference, leading to more reliable real-world performance."

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