- (2023-01) REPLUG: Retrieval-Augmented Black-Box Language Models paper
- (2023-02) Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback paper
- (2023-02) Augmented Language Models: a Survey paper
- (2023-03) Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedback paper
- (2023-03) Reflexion: an autonomous agent with dynamic memory and self-reflection paper
- (2023-04) Scaling Transformer to 1M tokens and beyond with RMT paper