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Arxiv
2d
280
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Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications
- Error correction is crucial for large language models (LLMs) in mobile applications.
- Researchers used LLMs to create a dataset of error correction pairs to enhance LLM performance.
- They incorporated error correction domain knowledge into the data synthesis pipeline.
- The study discusses adapting synthetic data for mobile applications and best practices for model improvement.
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