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Martin Vainikko

1 accepted papers

2024

To Err Is Human, but Llamas Can Learn It Too

EMNLP 2024finding

This study explores enhancing grammatical error correction (GEC) through automatic error generation (AEG) using language models (LMs). Specifically, we fine-tune Llama 2 LMs for error generation and find that this approach yields synthetic errors akin to human errors. Next, we train GEC Llama models…