@aarontay Yes incorporating mentions is kind of a hit-or-miss, it can be crucial for some papers (e.g. when necessary info wasn't retrieved from the index), but it tends to be confusing for models to differentiate consistently
@aarontay @pastaraspberry @menhguin@PradyuPrasad Appreciate the feedback Aaron (I'm from the Ai2 paperfinder crew). Btw we've been slowly fixing small issues based on the usage we're seeing. Current version should have a more clear and expected behaviour on some things you pointed out re the initial release. Still WIP ofc
Give it a shot. If it didn't find what you wanted in the first go, you can ask it to work harder, or you can try to iterate with follow up queries, corrections and refinements.
Meet Ai2 Paper Finder, an LLM-powered literature search system.
Searching for relevant work is a multi-step process that requires iteration. Paper Finder mimics this workflow โ and helps researchers find more papers than ever ๐
Check out our new paper on mapping abstract descriptions to sentences! We prompt GPT3 to create a dataset of <sentence, description>, and use it to train a retrieval model. A joint work with @valentina__py , Amir DN Cohen, @AvshalomM and @yoavgo (1/6)
https://t.co/3e5bQByJAh
@yoavgo Well yea, shitty in every possible way, but still comparing the content of academic publishing to that of other media - things can get much much worse real easy
@yoavgo but importantly this was written pre-internet and (stupid) bibliometrics, when the intended audience of citations were readers and not calculated scores that disregard the citation context
@yoavgo I like the way Latour put it in Science in Action. The general strategy with citation: do whatever you can to render existing literature helpful to your claims; e.g. weaken your enemies, paralyze those you can't weaken, help your allies, support those who supply you resources