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Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models.

, , , , , , and . CoRR, (2024)

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CPM: A Large-scale Generative Chinese Pre-trained Language Model., , , , , , , , , and 15 other author(s). CoRR, (2020)ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate., , , , , , , and . CoRR, (2023)On Transferability of Prompt Tuning for Natural Language Understanding., , , , , , , , , and 1 other author(s). CoRR, (2021)Human Emotion Knowledge Representation Emerges in Large Language Model and Supports Discrete Emotion Inference., , , , , , , , , and 1 other author(s). CoRR, (2023)On Transferability of Prompt Tuning for Natural Language Processing., , , , , , , , , and 3 other author(s). NAACL-HLT, page 3949-3969. Association for Computational Linguistics, (2022)Knowledge Inheritance for Pre-trained Language Models., , , , , , , , , and 1 other author(s). NAACL-HLT, page 3921-3937. Association for Computational Linguistics, (2022)CokeBERT: Contextual knowledge selection and embedding towards enhanced pre-trained language models., , , , , , , and . AI Open, (2021)CPM: A large-scale generative Chinese Pre-trained language model., , , , , , , , , and 15 other author(s). AI Open, (2021)Exploring the Impact of Model Scaling on Parameter-Efficient Tuning., , , , , , , , , and 2 other author(s). EMNLP, page 15062-15078. Association for Computational Linguistics, (2023)Knowledge Inheritance for Pre-trained Language Models., , , , , , , , , and 1 other author(s). CoRR, (2021)