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Introducing Tensortonic research > Implement ML papers in cloud-native IDEs > Breakdown of all papers to architecture, math, and code > State-of-the-art papers like Transformers, BERT, ViT, DDPM, VAE, GANs and many more

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PhD Students – How to identify related papers for your research paper? 1. Go to 2. Paste your DOI or title of your research paper 3. ResearchCollab will display the network of papers 4. Explore the network in following ways → Filter the network of papers based on research field → Filter the network based on thematic clusters → Filter the network based on keywords → and much more As you find related papers, keep saving them. This use case has multiple advantages. ➟ You won’t miss a related paper to cite in your paper ➟ You can identify related papers for your lit review ➟ You can explore new research directions and trends ➟ You can visualize the entire collection of papers As a researcher, work smarter not just harder. For this, try ResearchCollab:

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Most researchers waste 70% of time on these 3 things ➝ Identifying the right set of research papers ➝ Extracting relevant data from those papers ➝ Comparing those research papers Now you can do all these things in seconds. 1. Go to 2. Click on 𝐺𝑒𝑡 𝑆𝑡𝑎𝑟𝑡𝑒𝑑 and then on 𝑁𝑒𝑤 𝐿𝑖𝑏𝑟𝑎𝑟𝑦 3. Now click on 𝐴𝐼 𝑆𝑒𝑎𝑟𝑐ℎ 4. Enter your research topic or question 5. moara will identify the papers for you. 6. Add relevant papers to the library 7. Now to extract from these papers, click 𝐸𝑛𝑟𝑖𝑐ℎ𝑚𝑒𝑛𝑡𝑠 8. Then click on 𝐶𝑢𝑠𝑡𝑜𝑚 𝐸𝑛𝑟𝑖𝑐ℎ𝑚𝑒𝑛𝑡𝑠 9. Describe what you want to extract e.g., datasets 10. 𝐦𝐨𝐚𝐫𝐚 will extract and add this as new column 11. Finally, to compare papers, click on 𝐿𝑖𝑏𝑟𝑎𝑟𝑦 𝐶ℎ𝑎𝑡 12. Enter what you want to compare e.g., datasets 13. moara will compare papers with respect to dataset With these features, you can 10x your research experience. Try 𝐦𝐨𝐚𝐫𝐚 today

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Introducing the Consensus Meter 2.0 📊 See how science agrees on any research question - now with metrics showing the research quality, methodology, and influence of supporting papers in each position 🔬

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🆕 We've just upgraded our Research page! You can now listen to 10-25 min audio summaries of the latest UAP research, read full papers directly on the site, and use built-in annotation tools. Both audio & papers are fully downloadable.

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How to compare 10 papers in 10 seconds? Meet 𝐒𝐜𝐢𝐒𝐩𝐚𝐜𝐞 – this tool compares papers for you. Here is how it works. 1. Go to 2. Click on + 𝑠𝑖𝑔𝑛 and upload the 10 papers. 3. After uploading papers, write your prompt. 𝐶𝑜𝑚𝑝𝑎𝑟𝑒 𝑡ℎ𝑒 𝑢𝑝𝑙𝑜𝑎𝑑𝑒𝑑 10 𝑟𝑒𝑠𝑒𝑎𝑟𝑐ℎ 𝑝𝑎𝑝𝑒𝑟𝑠 4. SciSpace will start comparing the papers. 5. You will see the comparison result on right side. 6. You will see various insights with paper numbers. 7. At the end, you will see summary of the comparison. 8. SciSpace compares the papers based on: ✓ Similarities in research themes ✓ Differences in approaches ✓ Relative strengths and weaknesses ✓ Gaps identified across papers ✓ Relationships and building upon each other 9. To trace to each paper, click on the 𝑝𝑎𝑝𝑒𝑟 𝑛𝑢𝑚𝑏𝑒𝑟𝑠 10. To trace to exact location, click on 𝑙𝑜𝑐𝑎𝑡𝑒 𝑃𝐷𝐹. Where can you use such comparison? You can use it to: ➝ Understand the related literature. ➝ Position the novelty of your research paper. ➝ Understand niche questions in a research area. ➝ Grasp key insights from a bunch of papers in one go. Try SciSpace today:

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Scite Assistant now lets you chat with any research papers even if they are paywalled. Go to scite(dot)ai and click on Assistant. In Scite Assistant, click on "Sources" and type the title of the research paper you want to chat with. You can add multiple papers. Now when you ask a question, Scite Assistant will reply with reference to the papers you added.

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How to extract data from papers for literature review in seconds? 1. Go to 2. Upload 2-3 papers you already know are relevant 3. Start with clicking on one paper 4. ResearchCollab do the following for the paper ✦ Provide a short overview of the paper ✦ Identify weaknesses in the paper ✦ Share papers that contrast the existing paper ✦ Extract meta data about the paper ✦ Evaluate each part (e.g., methodology) of the paper ✦ Provide AI chat to extract any other data 5. Now click on the Related Papers button at top right 6. You will get papers related to the seed paper 7. You can click on each paper and read its abstract 8. If you find it relevant, just add it to your list of papers 9. Do the same for the other 2 seed papers 10. This way you will collect all relevant papers 11. And extract data from those papers After this, analyse the data and report the findings. Try ResearchCollab today:
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How to extract data from papers for literature review in seconds? 1. Go to 2. Upload 2-3 papers you already know are relevant 3. Start with clicking on one paper 4. ResearchCollab do the following for the paper ✦ Provide a short overview of the paper ✦ Identify weaknesses in the paper ✦ Share papers that contrast the existing paper ✦ Extract meta data about the paper ✦ Evaluate each part (e.g., methodology) of the paper ✦ Provide AI chat to extract any other data 5. Now click on the Related Papers button at top right 6. You will get papers related to the seed paper 7. You can click on each paper and read its abstract 8. If you find it relevant, just add it to your list of papers 9. Do the same for the other 2 seed papers 10. This way you will collect all relevant papers 11. And extract data from those papers After this, analyse the data and report the findings. Try ResearchCollab today:

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Introducing Deep Research for arXiv Ask questions like 'What are the latest breakthroughs in RL fine-tuning?' and get comprehensive lit reviews with trending papers automatically included Turn hours of literature searches into seconds with AI-powered research context ⚡

alphaXiv

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Introducing a revival of PapersWithCode! As Ilya Sutskever said, we're back to the "age of research". Hence, it's important to share research and build on each other's work. > find SOTA per domain, not just LLMs > leaderboards > methods > all parsed at scale using AI agents.
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Introducing a revival of PapersWithCode! As Ilya Sutskever said, we're back to the "age of research". Hence, it's important to share research and build on each other's work. > find SOTA per domain, not just LLMs > leaderboards > methods > all parsed at scale using AI agents.

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arXiv -> quickarXiv Papers are often written in convoluted language that is hard to understand Swap arXiv -> quickarXiv on any paper URL to get an instant blog with figures, insights, and explanations. Now extracted with Z.ai's GLM OCR 🚀 Also includes code + author tweet
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arXiv -> quickarXiv Papers are often written in convoluted language that is hard to understand Swap arXiv -> quickarXiv on any paper URL to get an instant blog with figures, insights, and explanations. Now extracted with Z.ai's GLM OCR 🚀 Also includes code + author tweet

alphaXiv

73,819 görüntüleme • 13 gün önce

NotebookLM just ended manual AI paper reading. They’ve released a new version for arXiv papers and it’s insane. It doesn’t just summarize papers. - It studies thousands of related sources - Connects the research for you - Explains everything back in audio like a real mentor And yes… it’s completely free.
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NotebookLM just ended manual AI paper reading. They’ve released a new version for arXiv papers and it’s insane. It doesn’t just summarize papers. - It studies thousands of related sources - Connects the research for you - Explains everything back in audio like a real mentor And yes… it’s completely free.

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