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  This model is part of the [GrammarCorrector](https://github.com/akhmat-s/GrammarCorrector) tool.
 
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- Fine-tuning for the FlanT5 model uses a dataset called [JFLEG](https://arxiv.org/abs/1702.04066). The primary objective of the experiment was to develop a highly effective tool using a minimal dataset.
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- To accomplish this goal, we implement the key strategy:
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- - [Perplexity-Based Data](https://arxiv.org/abs/2405.20541) Pruning With Small Reference Models.
 
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  This model is part of the [GrammarCorrector](https://github.com/akhmat-s/GrammarCorrector) tool.
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+ The primary objective of the experiment was to develop a highly effective tool using relatively small models, minimal datasets, and constrained computational resources.
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+ To accomplish this goal, we implemented two key strategies:
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+ - [Perplexity-Based Data](https://arxiv.org/abs/2405.20541) Pruning With Small Reference Models.
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+ - A simple sampling and voting method for [multiple LLM agents](https://arxiv.org/abs/2402.05120).