Ive been using LLMs for my dev work for years now so I thought I knew the ropes but trying to use them for actual academic essay writing is a total nightmare. The hallucinations are just getting worse and I cant keep wasting hours double checking citations that turn out to be fake. Im in the middle of a massive lit review for my masters program in Philly and the deadline is breathing down my neck so I need something that actually pulls from real databases like JSTOR or Semantic Scholar without making stuff up.
My constraints:
What are you guys actually using that works for high-level research?...
Late to the thread but I have been very satisfied with these for my research.
I was digging through some old research folders earlier and remembered the headache I had with hallucinated DOIs last fall. Honestly, once you see a fake link that looks 100 percent real, you stop trusting the base models for anything serious. I had to pivot my entire workflow because I couldnt risk my reputation on a bunch of made-up sources. I ended up settling on a stack that actually hits the APIs for academic databases:
Oh man, I totally feel your pain with those fake citations because it is so scary when you realize half your bibliography is a total lie! I found a few tools that are actually reliable and wont get you in trouble and I love them because they saved my sanity during my last project.
Unfortunately, general purpose LLMs are pretty disappointing when it comes to actual academic integrity since they are basically just predicting text strings instead of querying real databases. I had issues with those fake citations too until I looked into how RAG pipelines actually function. You basically need a tool that forces the model to look at a vector database of peer-reviewed papers first. You should look into Consensus Premium Research Assistant because it costs around 20 dollars a month and specifically queries the Semantic Scholar API of over 200 million papers. If youre doing a heavy lit review, Elicit Plus Research Plan is even better for under 15 bucks. It extracts specific data like methodology or sample sizes directly into a table so you can verify if the AI is hallucinating immediately. To fix the robotic tone, I usually use their custom instructions to mimic a human draft. Its a grind for sure, but these tools should keep you from pulling your hair out before the Philly deadline.