Papers by Feng-Ting Liao

1 papers
Let’s Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Robust and Instruction-Aware ASR and OCR (2025.findings-acl)

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Challenge: Various fusion strategies have been explored for integration of large language models into multi-modal systems.
Approach: They propose a framework for deep fusion decoding that integrates large language models into cross-modal text recognition systems.
Outcome: The proposed framework surpasses cascaded methods in English and Mandarin, and significantly reduces WERs by 17.7%.

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