Hey everyone! I'm currently in the middle of my second year of my Master's program, and honestly, I'm feeling a bit buried under the sheer volume of reading I have to do. My thesis is focused on deep-sea biodiversity and climate change impacts, which means I'm sifting through dozens of incredibly dense, 40-page research papers every single week.

The problem I'm running into is that while I love the subject, I simply don't have enough hours in the day to read every single word of every paper before deciding if it's actually relevant to my specific literature review. I've tried using the basic version of ChatGPT and a few browser extensions, but they often struggle with the technical jargon or, even worse, they just summarize the abstract which I could have read myself in two minutes.

I'm looking for an AI tool that can really handle the heavy lifting of academic reading. Specifically, I need something that can:

• Process very long PDF files (sometimes 50+ pages) without cutting off the end or losing context.
• Provide a specific breakdown of the methodology and data results, rather than just a general overview of the topic.
• Accurately cite which page or section it is pulling information from so I can easily go back and verify the data myself.

I've looked into things like Elicit and Scite, but I'm not sure if they're the best for deep summarization or if there's something better out there that I haven't heard of yet. Some of these papers have complex charts and tables too, which most AI seems to ignore completely. I really need something that saves time without sacrificing the accuracy of the information, as I can't afford to have hallucinations in my research notes.

Has anyone here found a holy grail tool for this kind of academic work? I would love to hear about your workflows or any specific apps that have actually made your life easier. What is the best AI for summarizing long research papers?