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From Retrieval to Generation: Efficient and Effective Entity Set Expansion., , , , , and . CoRR, (2023)Focus Is What You Need For Chinese Grammatical Error Correction., , , , , and . CoRR, (2022)On the (In)Effectiveness of Large Language Models for Chinese Text Correction., , , , , , , and . CoRR, (2023)Progressive Multi-task Learning Framework for Chinese Text Error Correction., , , , , , and . CoRR, (2023)Contextual Similarity is More Valuable than Character Similarity: Curriculum Learning for Chinese Spell Checking., , , , , , and . CoRR, (2022)Linguistic Rules-Based Corpus Generation for Native Chinese Grammatical Error Correction., , , , , , , , , and 2 other author(s). EMNLP (Findings), page 576-589. Association for Computational Linguistics, (2022)EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce., , , , , , , , and . AAAI, page 18582-18590. AAAI Press, (2024)Contextual Similarity is More Valuable Than Character Similarity: An Empirical Study for Chinese Spell Checking., , , , , , and . ICASSP, page 1-5. IEEE, (2023)Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction., , , , , , , , , and . CoRR, (2024)DeepSeek LLM: Scaling Open-Source Language Models with Longtermism., , , , , , , , , and 76 other author(s). CoRR, (2024)