Interesting piece to read on how VLMs encode properties of objects!

That said, I also like the less intellectually exciting ones as they are solid analyses or methodological enhancements that work for realistic scenarios. It's even hard for me to "rank" them. I'm already prepared to see a reversed ranking from reviewers. (2/2)

(1) is "what AI is good at," and (2) is "what typical humans are bad at." But AI is not so good at *creatively* generating ideas that "make sense." Proposing such ideas is a task that does not match either criterion above, and is where human intelligence will keep shining.

2/2

Yeah I feel it’s indeed easier to have an okay statement with LLM draft, but its emphases are almost always off…

You mean narrative CV or something else? I tried using LLM to generate one but… garbage

Thanks, Chenhao! It's my pleasure helping with streamlining things in the backend - quite some pain but also fun :-)))

Also, is it now common to assume all reviewers are irresponsible and start to threaten them before deadline?

I use local complication w/ VSCode latex workshop plugin + git for version control.
Pros: better hierarchical organization & doesn’t require internet.
Cons: sometimes need to resolve conflict (usually fine if commit frequently) & require a powerful laptop to match overleaf compilation speed.