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Sentence-to-Label Generation Framework for Multi-task Learning of Japanese Sentence Classification and Named Entity Recognition., , and . NLDB, volume 13913 of Lecture Notes in Computer Science, page 257-270. Springer, (2023)Think from Words(TFW): Initiating Human-Like Cognition in Large Language Models Through Think from Words for Japanese Text-level Classification., , and . CoRR, (2023)A Few-shot Approach to Resume Information Extraction via Prompts., and . CoRR, (2022)USA: Universal Sentiment Analysis Model & Construction of Japanese Sentiment Text Classification and Part of Speech Dataset., , and . CoRR, (2023)Sensitivity and Robustness of Large Language Models to Prompt Template in Japanese Text Classification Tasks., and . PACLIC, page 1-11. Association for Computational Linguistics, (2023)A Few-Shot Approach to Resume Information Extraction via Prompts., and . NLDB, volume 13913 of Lecture Notes in Computer Science, page 445-455. Springer, (2023)Sensitivity and Robustness of Large Language Models to Prompt in Japanese., and . CoRR, (2023)Application of LLM Agents in Recruitment: A Novel Framework for Resume Screening., , and . CoRR, (2024)GIELLM: Japanese General Information Extraction Large Language Model Utilizing Mutual Reinforcement Effect., , and . CoRR, (2023)Mutual Reinforcement Effects in Japanese Sentence Classification and Named Entity Recognition Tasks., , and . CoRR, (2023)