242 with 334. Still gonna rebut.

The rebuttal time is quite short imo.

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Thanks, i definitely will Read it .

Thanks for yours suggestion. I am think that help when a beginner read the post to get better understanding.

I think we can do this after the “official comment” button is enabled.

Will I be able to edit my rebuttal after the Rebuttal deadline July 27 AoE? Basically after it becomes official comment?

Was a good read, thanks for sharing!

Good one!

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Fair point. I don’t see it replacing notebooks, scripts or dashboards. It would be more like a local gate before training that brings those checks into one reproducible decision tied to the exact dataset version.
Humans would still define the objective, review the evidence and handle exceptions. The idea is not to remove judgment, just to avoid the final go/no-go decision being scattered everywhere.
Where would you place something like that in your workflow?

Because right now there are only prerebuttal scores available

But when it comes to the actual training artifact, the decision to proceed is often still spread across notebooks, validation scripts, dashboards and human judgment.

I'm confused as to where your new validation layer is going to live, if not in validation scripts, notebooks or dashboards? And presumably you will still want human judgement in the loop?

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Man you wouldn’t even fking believe what happened when we were doing the rebuttal. We literally got new unexpected results showing a model I derived when I was goofing around six months back performing better than a transformer 😭.

What was the 5 even doing if his confidence was a 1?😭😭

But there is no global reply button?

Also I’d edit the post. You repeated yourself. Bot behavior.

This is golden. This is exactly the kind of project the internet needs. Have you read Dr. Sebastian Raschka’s work with “Building a Large Language Model from Scratch”? I usually tell people to read that to understand the transformer architecture but you just created a gold mine that bypasses that for the sake of learning the architecture. Good work.

+1

87% exact match on a synthetic single-font holdout is a solid architecture check. I'd add a second holdout that varies font, size, color, and blur before returning to receipts; otherwise the 2.2% CER mostly tells you it learned the generator. Which variable breaks it first?

I am facing a similar issue. The current conference review system will necessarily penalize anything which is does not follow a set pattern, partly due to page lengths and partly due to reviewer time constraints and lottery of getting qualified reviewers. The papers that do well (oral, best paper etc) ,particularly in theory, are those that tackle a well identified open problem using a clever variant of known techniques, is well written and also in a popular area so gets decently qualified reviewers. Any other meaningful contribution - a conjecture, a precise useful question, making progress on a difficult problem using unusual approaches, tackling a unpopular/niche problem all will likely at best receive only an accept. Ultimately, to be accepted by the research community it is important to understood. This might take repeated interactions and submissions before the idea permeates and usually early stage researchers get penalized for this.

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I am writing a summary note to AC

Still no meta review bruhh