Papers by Dongcheng Jiang
Speech-based Slot Filling using Large Language Models (2024.findings-acl)
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| Challenge: | Recent advances in large language models (LLMs) have shown an unprecedented ability across various language tasks. |
| Approach: | They propose to use prompts and LoRA fine-tuning to improve slot filling robustness . they propose a linearised knowledge injection scheme to integrate dynamic external knowledge into LLMs. |
| Outcome: | The proposed model improves slot filling with noisy ASR transcriptions with 6.7% and 17.6% absolute SLU-F1 improvements compared to a fully fine-tuned Flan-T5-XL model. |