branislavpecher.bsky.social
@branislavpecher.bsky.social
PhD student at Kempelen Institute of Intelligent Technologies. Working on low-resource and limited labelled data settings. All about LLM fine-tuning, prompting, in-context learning and their sensitivity to non-deterministic choices (initialisation, prompt)
I started doing this for every one of my papers. But I always have a bit of hesitation about whether it is something I am "allowed" to do and whether it will help/achieve something -- it is just more text for the AC to read and by default biased
December 2, 2024 at 8:31 PM
Similar here. Zero discussion on the paper.
At least the reviewer that submitted LLM generated review answered that they are keeping the score. 🙃 But it was still much better than the NeurIPS reviews

I am really curious how the AC will fare with the "discussion regarding borderline papers"
November 30, 2024 at 11:51 AM
But according to reviewers "gradient step in a promising direction" is just an incremental contribution and should be rejected 🙃

On a more serious note, I believe more conferences should adopt the ARR way of publishing a "reviewer guideline", with common review mistakes (e.g., "paper is not novel")
November 29, 2024 at 4:26 PM
Currently struggling with the same thing. One of the papers read like it was written last minute without the authors even reading it afterwards and checking basic things/mistakes.

Now, in the rebuttal phase, the authors have completely rewritten the whole paper. Is this allowed/encouraged? 🤔
November 25, 2024 at 8:54 PM
Does complaining about the review process and quality of reviews count as being grumpy? 😅
November 19, 2024 at 8:44 AM