推荐10篇学习chatgpt的论文

很高兴为您提供关于学习ChatGPT的10篇论文推荐：

1. "Language Models are Few-Shot Learners" by Tom B. Brown et al.
2. "GPT-2: Language Generation and Comprehension" by Alec Radford et al.
3. "BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding" by Jacob Devlin et al.
4. "XLNet: Generalized Autoregressive Pretraining for Language Understanding" by Zhilin Yang et al.
5. "RoBERTa: A Robustly Optimized BERT Pretraining Approach" by Yinhan Liu et al.
6. "T5: Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer" by Colin Raffel et al.
7. "UniLM: Unified Language Model Pre-training" by Li Dong et al.
8. "ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators" by Kevin Clark et al.
9. "CTRL: A Conditional Transformer Language Model for Controllable Generation" by Nitish Shirish Keskar et al.
10. "Reformer: The Efficient Transformer" by Nikita Kitaev et al.

希望这些论文能够帮助您更好地了解ChatGPT的学习。