I hope this is a good step towards "clarity", an essential goal in science.

This is a joint work with the fantastic team: Aaron Bernstein, Joakim Blikstad, Jason Li, and Ta-Wei Tu.

Joakim and Ta-wei coded up the algorithm.
3/3

Both low-level implementation and analysis were previously very involved.

But our new paper simplifies both significantly.

Now
- Pretty readable for non-experts.
- Simple enough to code up fully in C++
- I am trying to teach it this semester arxiv.org/abs/2510.17182
2/3

I also enjoy expositions (like some nice papers, surveys, and short textbooks).

But in my case, I put Schrijver's and Frank's combinatorial optimization books into NotebookLM. Honestly, I have only used them by looking up and never tried to read them for fun. Now, I can interact more with them.

3. editgpt.app has an excellent interface for polishing papers.

4. I failed to use AIs to help me solve any open problems (and even got tricked by their answers once). Have you succeeded? I am interested to hear.

3/3

1. For the literature search, I enjoy using the Deep Research of both ChatGPT and Gemini. (I still often go through the rabbit hole in Google Scholar.)

2. I upload many textbooks on the same topic to NotebookLM and ask questions. It is a fun way to learn and look up.

2/3

This is amazing!