I recently compared AI paper summarization capabilities. I fed the same paper (a recent paper on LLM-based reasoning) into both Claude 3.5 and GPT-4o for summarization.
Claude felt better at capturing the overall flow and extracting the key contributions, while GPT-4o emphasized detailed experimental results and figures. I used to mainly use GPT for reading paper abstracts, but now I think I should use Claude alongside it.
Does anyone else have a preferred model for paper summarization or code review? I'd appreciate it if you could share the pros and cons of each.