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Kaj_Sotala comments on Want to work on "strong AI" topic in my bachelor thesis - Less Wrong
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That's hard to answer, given that there's no general agreement of what would count as a significant advance in AGI theory. Something like LIDA feels like it could possibly be important and useful for AGI, but also maybe not. The Global Workspace Theory behind it does seem important, though. Also various other neuroscience work like the predictive coding hypothesis of the brain seems plausibly important.
So far I'd count AIXI and whatever went into building IBM Watson (incidentally, what did go into building it, is there a summary somewhere about what you'd want to study if you wanted to end up capable of working on something like that?) as reasonably significant steps. AIXI is pure compsci, and I haven't heard anything about insights from cognitive science playing a big part in getting Watson working compared to plain old math and engineering effort.
I'd count the predictive coding model and probably also GWT as larger steps than AIXI. I'm not sure where I'd put Watson.
Here is a paper about how Watson works in general, and here's another about how it reads a clue. (Unsurprisingly, machine learning, natural language processing, and statistics skills seem relevant.)