
PapersWithCode TLDR

PapersWithCode TLDR is a GPT designed to streamline the process of understanding academic research by providing summaries of papers at user-defined levels of detail.
Essential in facilitation of structured substance ingestion, PapersWithCode TLDR emphasizes precision, clarity, and accessibility, allowing users to rapidly have an overview of a paper without having to invest significant amounts of time.
The tool is especially useful in disciplines that generate a high volume of papers such as machine learning, image generation, and other advanced areas of study.
Users can apply the GPT in a conversational manner utilizing prompts like 'Summarize the top papers in machine learning'. The TLDR GPT goes beyond standard abstracts to provide a concise interpretation of the entire paper, making it easier for users to determine the relevance of the paper to their work.
Its summaries can also highlight notable trends in the field based on the perspectives of numerous papers. Developed by artspark.ai, PapersWithCode TLDR requires a ChatGPT Plus subscription.
The tool is particularly useful to students, researchers, and professionals who need to stay updated with the latest research, but find the volume of published material overwhelming.
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Prompts & Results
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30,58423Released 19d agoFree + from $19.99/mo
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826,202635v1.6 released 13d agoFree + from $12/moReducing manual efforts in first-pass during code-review process helps speed up the "final check" before merging PRs
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If you liked PapersWithCode TLDR
Featured matches
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5,443152Released 1y ago100% Freevery useful AI tool for those who need to work with pdf docs. Thnak you very to the team for offering it free
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139,7932,608v1.4.0 released 7mo agoFree + from $6.99/moI'm still testing the tool yet it looks very promising. I tested it with a 5.5k words Academic text that I had previously red. I tested the Key points feature, it does work!
Verified tools
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17,415289Released 11mo agoFree + from $4.2/moI’ve been using it for a month now and I have decided to keep it for a year. There definitely are some kinks they can still work out like file management, but it’s very good at it’s core function: it generally does a good job answering questions and most times identifies PDFs automatically and correctly. The browser plugin works great, and it’s very nice that Papers allows you to add your university’s library API so you can automatically download PDFs that are accessible through your institution (sometimes it refuses to download some papers, so you just have to downlow it yourself and manually add it). The iPad and Android apps are serviceable. Every once in a while it will mess up the PDF identification, especially with papers from either very old sources or online-only journals. Things they must work on: * A much better system to annotate PDFs (the post-it type notes are cumbersome). * Introduce a notepad attached to each PDF or some way to easily link and save the AI’s output to the PDF. Currently, you have to add a little post it note and then paste the text there. * Keep the AI answers available after closing the documents. If you close the document by mistake or have several open and wish to close some, the ai conversation will be reset. * I REALLY wish that you could get citations and links to where the info was from extracted from PDFs. Currently, I have found Coral.ai does a much better job of showing you where the info came from and it even highlights it for you. Give it a try, their 30-day no credit card needed trial allowed me to truly test it, and now I’m a yearly subscriber looking forward for new additions and releases.
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1,948230v1 released 5y agoFree + from $4.00/mo
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