1,247 karma · joined August 11, 2018
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Can you share more?
I wrote a bit more about it here https://eamag.me/2025/Paper-To-Project
I think LLMs are usually give very simple ideas if you don't do "deep research" and just give one paper, I assume that's what you're doing? At least I saw some of my projects were not good, and I need to run more steps on deduplication/improvement
I think the important part is the ranking, but ranking can be subjective (each company/person has different values). I wrote about ranking too https://eamag.me/2025/Ranking-With-LLMs and some ranking at https://openreview-copilot.eamag.me/ranking
Shoot me a message if you want to chat more :)
I tried to do it based on ICLR conference, and rank via LLM-tournament, see result https://openreview-copilot.eamag.me/projects and process https://eamag.me/2025/Paper-To-Project
[1] https://www.semanticscholar.org/paper/A-Review-of-LLM-Assist...
It's a common issue with ollama, maybe it's running something similar under the hood?
Can you tell what is it and how it works?
- Reading advice like https://eamag.me/2025/Good-Research
- Figuring out problems like https://openreview-copilot.eamag.me/
- Doing analysis like https://eamag.me/2024/Automated-Paper-Classification
- Figuring out where scientists are located like https://eamag.me/2024/ICML-2024-on-a-map
>can create an entirely new state of matter – not a solid, liquid or gas but a topological state
OCR was discussed here lately several times (https://news.ycombinator.com/item?id=42952605 and https://news.ycombinator.com/item?id=42871143), and some cool projects like https://github.com/Future-House/paper-qa?tab=readme-ov-file#... are using PyMuPDF. My experience with Tesseract is pretty sad, it's usually not good enough and modern LLMs are better.