unfortunately a lot of ML conferences don't provide DOIs for their accepted papers. Citing much older works also falls through here
HN user
alexcdot
Problem is that most ML papers today are not independently verifiable proofs - in most, you have to trust the scientist didn't fraudulently produce their results.
There is so much BS being submitted to conferences and decreasing the amount of BS they see would result in less skimpy reviews and also less apathy
Absolutely, expectations and tools given by management are a real problem.
If management fires you because they are wrong about how good AI is, and you're right - at the end of the day, you're fired and the manager is in lalaland.
People need to actually push the correct calibration of what these tools should be trusted to do, while also trying to work with what they have.
There are a ton of edge cases and a bit of contextual understanding for what is a hallucinated citation (i.e. what if its republished from arxiv to ICLR?)
But to your point, seems we need a tool that can do this
I really like what IJCAI is doing to pay reviewers to do this work, with the $100 fee from authors
Yeah its insane the workload reviewers are faced with + being an author who gets a review from a novice
really good point. one of the cofounders of gptzero here!
the tool gptzero used in the article also detects if the citation supports the claim too, if you scroll to "cited information accuracy" here: https://app.gptzero.me/documents/1641652a-c598-453f-9c94-e0b...
this is still in beta because its a much harder problem for sure, since its hard to determine if a 40 page paper supports a claims (if the paper claims X is computationally intractable, does that mean algorithms to compute approximate X are slow?)
hey, i'm a part of the gptzero team that built automated tooling, to get the results in that article!
totally agree with your thinking here, we can't just give this to an LLM, because of the need to have industry-specific standards for what is a hallucination / match, and how to do the search
Really like the product vision here, excited to try it out!
I didn’t know I needed a death metal cover of Star Wars until now. Awesome stuff!
the model at https://gptzero.me is different now, it does sentence-level prediction as opposed to the old GPTZero
disclaimer: i'm familiar with creator