🔬 Works of Beijing Academy of Artificial Intelligence12 works · the most cited first · ← Beijing Academy of Artificial IntelligenceGLM: General Language Model Pretraining with Autoregressive Blank InfillingZhengxiao Du, Yujie Qian, Xiao Liu, et al.2022 · 1 449 citationsParameter-efficient fine-tuning of large-scale pre-trained language modelsNing Ding, Yujia Qin, Guang You Yang, et al.2023 · 1 324 citationsP-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and TasksXiao Liu, Kaixuan Ji, Yicheng Fu, et al.2022 · 1 013 citationsC-Pack: Packed Resources For General Chinese EmbeddingsShitao Xiao, Zheng Liu, Peitian Zhang, et al.2023 · 920 citationsPPT: Pre-trained Prompt Tuning for Few-shot LearningYuxian Gu, Xu Han, Zhiyuan Liu, et al.2022 · 467 citationsP-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and TasksXiao Liu, Kaixuan Ji, Yicheng Fu, et al.2021 · 464 citationsOpenPrompt: An Open-source Framework for Prompt-learningNing Ding, Shengding Hu, Weilin Zhao, et al.2022 · 278 citationsKnowledge-Grounded Dialogue Generation with Pre-trained Language ModelsXueliang Zhao, Wei Wu, Can Xu, et al.2020 · 244 citationsAya Dataset: An Open-Access Collection for Multilingual Instruction TuningShivalika Singh, Freddie Vargus, Daniel D'souza, et al.2024 · 202 citationsJudgeLM: Fine-tuned Large Language Models are Scalable JudgesLianghui Zhu, Xinggang Wang, Xinlong Wang2023 · 141 citationsA Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment ConflictYiyi Liu, Yequan Wang, Aixin Sun, et al.2022 · 34 citationsMemorization or Reasoning? Exploring the Idiom Understanding of LLMsJisu Kim, Youngwoo Shin, Uiji Hwang, et al.2025 · 11 citationsThis page in Markdown → https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/works/