Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models (2024.acl-long)
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| Challenge: | Modern large language models (LLMs) contain billions of parameters and can perform a variety of downstream tasks. |
| Approach: | They propose an open-source framework for fine-tuning large language models (LLMs) they address key challenges facing LLMs fine- tuned for simultaneous translation . |
| Outcome: | The proposed framework validates classical SimulMT concepts and practices in the context of LLMs and explores adapting LLM fine-tuned for NMT to the task of Simul-LLM. |
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