Ali Siahkoohi
siahkoohi.bsky.social
Ali Siahkoohi
@siahkoohi.bsky.social
Assistant Professor, CS at UCF | Uncertainty Quantification
https://alisiahkoohi.github.io/
Pinned
Great to see Anthropic highlighting the importance of uncertainty quantification (UQ) in AI.

Having spent my PhD and postdoc developing scalable UQ methods for real-world, high-dimensional problems, I’m currently on the academic job market—feel free to reach out!
A statistical approach to model evaluations
A research paper from Anthropic on how to apply statistics to improve language model evaluations
www.anthropic.com
Reposted by Ali Siahkoohi
The review debate has entered 🦋. Let me re-propose my favorite idea so far: We reduce everything to a single point of entry with rolling review that only checks for scientific correctness (like TMLR). Once a paper is published there, you can apply for it to be presented at an upcoming conference.
We need to abolish peer-review conferences, at the very minimum. Everyone knows it’s a charade, yet they still keep playing the game.
I'm old enough to remember when mailing in a review and disappearing was all that was expected. 🙃

We keep expecting more from reviewers, but somehow the results seem to be getting worse. 🤔
November 24, 2024 at 9:58 AM
Great to see Anthropic highlighting the importance of uncertainty quantification (UQ) in AI.

Having spent my PhD and postdoc developing scalable UQ methods for real-world, high-dimensional problems, I’m currently on the academic job market—feel free to reach out!
A statistical approach to model evaluations
A research paper from Anthropic on how to apply statistics to improve language model evaluations
www.anthropic.com
November 21, 2024 at 8:04 PM