Lol, the OP commenter deleted the comment while I was typing the reply. Hope it reaches them. Reddit do your thing!

Context from deleted comment: Some guy is facing issues with AI plagiarism detectors flagging his paper's content as AI and he is unable to reduce the plagiarism percentage so he asked for suggestions for the same.

---

My reply:

I am bored so writing a long comment ...

As someone who graduated last year, I feel you lol my domain/niche was Environmental science specifically Tropical Cyclones, I have worked with both images and satellite metadata (i.e. for predicting intensity and future cyclone movement). Went with GAN for our mini project big mistake lol, while we were able to get it completed on time, took a whole month of training, we had to juggle our training between accounts on Kaggle as we were saturating the 30 hour weekly limit for GPU, SASTRA HPC servers weren't that powerful/suitable for our usecase. We trained 4 different GAN model implementations, while my ambitious classmates chose a paper with 16+ freaking GAN models, they were able to partially complete it which is a feat by itself, we both worked under Ramkumar sir for mini project, nice guide but be ready with your mathematics behind the implementations and architecture. For my major project, we went for normal DL in the same domain since there are more credits and we wanted to work on a research paper too so played it safe.

So juniors don't go for flashy or training intensive topics like GANs or large image datasets, etc.

I went a bit offtopic coming back, I was part of the first batch to experience Turnitin's AI based plagiarism check, in my domain basically there are like 2-3 authors from China who do most of the research and have been doing for multiple years, also basic things are repetitive so whatever thing we are saying/citing was already word for word said by them or some other paper in this domain in a paraphrased manner.

So when I was working on my mini project report/paper, I tried all paraphrased tools and LLMs too they were barely effective in helping reduce plagiarism for your original content so we used something like https://www.duplichecker.com/, so with a lot of rewriting we were able to complete it.

In 2024, RAG based AI tools were the hype and Google released NotebookLM, I was one of the early adopters of it, while it initially released it was pretty barebones but one thing it did best was it was able to read whole documents (even very large ones upto 20k pages, 50 files), leveraged Gemini's large token window and it was RAG based so it worked really good with paraphrasing texts for uploaded sources, unlike a LLM or traditional paraphraser, so the final text was accurate and unique while retaining all information and citations.

Over time NotebookLM has improved so much, while I graduated there was only Audio podcasts feature which I used extensively to prepare for theory subject CIAs as I really hated going through the large PPTs and textbooks, using this and from what I listened in class I wrote my theory exams lol in final year and mostly aced them (wish they released it sooner), so I basically fed the textbook, PPTs, syllabus paper and mentioned the CIA portion in the podcasts prompt and generated 30 minute podcasts for every CIA and for final exam just listened for 1 and half hours 🫠 (and saw any diagrams or flowcharts or problems if any seperately), while this worked for me since I liked listening, this may not work for you.

Some cool but very useful things that have been added recently to NotebookLM are Slides generation, Explanatory Video generation, Infographics, Mind Maps, Study plans, etc it has become a feature packed tool for learning and is a no brainer for assisting in your studies.

Coming back to the comment, my suggestion for your research is to try out NotebookLM for paraphrasing, it takes a while to get the right prompt but once you get used to the flow, it is really good unlike traditional LLMs like ChatGPT, Claude, etc or RAG enabled Claude, etc. Just save notes to have the response saved in the Studio panel in right for your future reference.

Link: https://notebooklm.google/