CRAFT 논문 리뷰입니다.
GPT-2 논문 리뷰입니다.
ELMo 논문 리뷰입니다.
Visualizing and Understanding Recurrent Networks 논문 리뷰입니다.
UniT: Multimodal Multitask Learning with a Unified Transformer 논문 리뷰입니다.
Visual Programming: Compositional visual reasoning without training 논문 리뷰입니다.
Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning 논문 리뷰입니다.
Erasing Concepts from Diffusion Models 논문 리뷰입니다.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models 논문 리뷰입니다.
Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes 논문 리뷰입니다.
Distilling Reasoning Capabilities into Smaller Language Models 논문 리뷰입니다.