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Understanding Emergent Abilities of Language Models from the Loss Perspective

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Fei Du

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Другие публикации лиц с тем же именем

GLM-130B: An Open Bilingual Pre-trained Model., , , , , , , , , и 8 other автор(ы). CoRR, (2022)SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning., , , , , , , , и . CoRR, (2024)EFCNN: A Restricted Convolutional Neural Network for Expert Finding., , и . PAKDD (2), том 11440 из Lecture Notes in Computer Science, стр. 96-107. Springer, (2019)CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning., , , , , , , и . IEEE Trans. Knowl. Data Eng., 35 (2): 1283-1295 (2023)GLM: General Language Model Pretraining with Autoregressive Blank Infilling., , , , , , и . ACL (1), стр. 320-335. Association for Computational Linguistics, (2022)P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks., , , , , , и . ACL (2), стр. 61-68. Association for Computational Linguistics, (2022)Understanding Emergent Abilities of Language Models from the Loss Perspective, , , и . (2024)All NLP Tasks Are Generation Tasks: A General Pretraining Framework., , , , , , и . CoRR, (2021)GLM-130B: An Open Bilingual Pre-trained Model., , , , , , , , , и 9 other автор(ы). ICLR, OpenReview.net, (2023)AgentBench: Evaluating LLMs as Agents., , , , , , , , , и 12 other автор(ы). CoRR, (2023)