> I feel like 95%+ of papers don't do anything besides tell you what happened and you're just supposed to believe them.
Honestly I think there's a big problem with page limits. My team recently had a pre-print that was well over 10 pages and we still didn't get everything and then when we submitted to NeurlIPS we had to reduce it to 9! This seems to be a common problem and why you should often check different versions on ArXiv. And we had more experiments and data we needed to convey since the pre-print. This problem is growing as we have to compare more things and tables can easily take up a single page. I think this causes an exaggeration of the problem that always exists of not explaining things in detail and expecting readers to be experts. Luckily most people share source code which helps show all the tricks authors used and blogging is becoming more common which further helps.
> I'd welcome someone who can actually prove the model just "memorized" every combo possible
Indeed. Novel, efficient program synthesis is still novel, efficient program synthesis even if it's a novel, efficient data compression codec you're synthesising.
Honestly I think there's a big problem with page limits. My team recently had a pre-print that was well over 10 pages and we still didn't get everything and then when we submitted to NeurlIPS we had to reduce it to 9! This seems to be a common problem and why you should often check different versions on ArXiv. And we had more experiments and data we needed to convey since the pre-print. This problem is growing as we have to compare more things and tables can easily take up a single page. I think this causes an exaggeration of the problem that always exists of not explaining things in detail and expecting readers to be experts. Luckily most people share source code which helps show all the tricks authors used and blogging is becoming more common which further helps.
> I'd welcome someone who can actually prove the model just "memorized" every combo possible
Honestly this would be impressive in of itself.