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