Another month, another round of interesting research papers ranging from large language modeling to computer vision. One recent focus is on refining Large Language Models (LLMs). For instance, introducing models like Platypus and the Reinforced Self-Training (ReST) method are the latest attempts to improve alignment with human preferences.
I am curious how you select which arXiv papers to summarize. The torrent of new postings is totally overwhelming! Do you have any tricks or hints to share? Certainly it is not random! ;)