Earlier quoted context omitted.
The legal system has a word to describe software bugs --- it is called "negligence". And as the remedy starts being applied (aka "liability"), the enthusiasm for software will start to wane. What if anything do you think is wrong with my analogy? I doubt most people here support strict liability for bugs in code.
I don't even think GP knows what negligence is. Generally the law allows people to make mistakes, as long as a reasonable level of care is taken to avoid them (and also you can get away with carelessness if you don't owe any duty of care to the party). The law regarding what level of care is needed to verify genAI output is probably not very well defined, but it definitely isn't going to be strict liability. The emot…
Over fifty new hallucinations in ICLR 2026 submissions
241–250 of 442 posts
Re: Over fifty new hallucinations in ICLR 2026 submissions
#242Earlier quoted context omitted.
I think this is a bit unfair. The carpenters are (1) living in world where there’s an extreme focus on delivering as quicklyas possible, (2) being presented with a tool which is promised by prominent figures to be amazing, and (3) the tool is given at a low cost due to being subsidized. And yet, we’re not supposed to criticize the tool or its makers? Clearly there’s more problems in this world than «lazy carpenters»?
Yes, that's what it means to be a professional, you take responsibility for the quality of your work.
Re: Over fifty new hallucinations in ICLR 2026 submissions
#243Earlier quoted context omitted.
I'm an industrial electrician. A lot of poor electrical work is visible only to a fellow electrician, and sometimes only another industrial electrician. Bad technical work requires technical inspectors to criticize. Sometimes highly skilled ones.
I’d love to hear some examples of poor electrical work that you’ve come across that’s often missed or not seen.
Re: Over fifty new hallucinations in ICLR 2026 submissions
#244Earlier quoted context omitted.
>It's not easy to hallucinate papers out of whole cloth, but LLMs can easily and confidently do it, quote paragraphs that don't exist, and do it tirelessly and at a pace unmatched by humans. But no one is claiming these papers were hallucinated whole, so I don't see how that's relevant. This study -- notably to sell an "AI detector", which is largely a laughable snake-oil field -- looked purely at the accuracy of cit…
I've zero interest in the AI tool, I'm discussing the broader problem. The references were made up, and this is easier and faster to do with LLMs than with humans. Easier to do inadvertently, too. As I said, LLMs are a force multiplier for fraud and inadvertent errors. So it's a big deal.
Re: Over fifty new hallucinations in ICLR 2026 submissions
#245Earlier quoted context omitted.
>LLMs can actually make up for their negative contributions. They could go through all the references of all papers and verify them, They will just hallucinate their existence. I have tried this before
I don’t see why this would be the case with proper tool calling and context management. If you tell a model with blank context ‘you are an extremely rigorous reviewer searching for fake citations in a possibly compromised text’ then it will find errors. It’s this weird situation where getting agents to act against other agents is more effective than trying to convince a working agent that it’s made a mistake. Perhaps…
Re: Over fifty new hallucinations in ICLR 2026 submissions
#246Earlier quoted context omitted.
They explain in the article what they consider a proper citation, an erroneous one and an hallucination, in the section "Defining Hallucitations". They also say than they have many false positives, mostly real papers who are not available online. Thad said, i am also very curious of the result than their tool, would give to papers from the 2010's and before.
If you look at their examples in the "Defining Hallucitations" section, I'd say those could be 100% human errors. Shortening authors' names, leaving out authors, misattributing authors, misspelling or misremembering the paper title (or having an old preprint-title, as titles do change) are all things that I would fully expect to happen to anyone in any field were things get ever got published. Modern tools have made…
Re: Over fifty new hallucinations in ICLR 2026 submissions
#247Earlier quoted context omitted.
Not really true nowadays. Stuff in whitepapers needs to be verifiable which is kinda difficult with hallucinations. Whether the students directly used LLMs or just read content online that was produced with them and cited after just shows how difficult these things made gathering information that's verifiable.
> Stuff in whitepapers needs to be verifiable which is kinda difficult with hallucinations. That's... gibberish. Anything you can do to verify a paper, you can do to verify the same paper with all citations scrubbed. Whether the citations support the paper, or whether they exist at all, just doesn't have anything to do with what the paper says.
Re: Over fifty new hallucinations in ICLR 2026 submissions
#248If a carpenter builds a crappy shelf “because” his power tools are not calibrated correctly - that’s a crappy carpenter, not a crappy tool. If a scientist uses an LLM to write a paper with fabricated citations - that’s a crappy scientist. AI is not the problem, laziness and negligence is. There needs to be serious social consequences to this kind of thing, otherwise we are tacitly endorsing it.
Yeah seriously. Using an LLM to help find papers is fine. Then you read them. Then you use a tool like Zotero or manually add citations. I use Gemini Pro to identify useful papers that I might not yet have encountered before. But, even when asking to restrict itself to Pubmed resources, it's citations are wonky, citing three different version sources of the same paper (citations that don't say what they said they'd d…
Re: Over fifty new hallucinations in ICLR 2026 submissions
#249Earlier quoted context omitted.
When academics are graded based on number of papers this is the result.
The problem isn't only papers it's that the world of academic computer science coalesced around conference submissions instead of journal submissions. This isn't new and was an issue 30 years ago when I was in grad school. It makes the work of conference organizes the little block holding up the entire system.
Re: Over fifty new hallucinations in ICLR 2026 submissions
#250Earlier quoted context omitted.
I don’t see why this would be the case with proper tool calling and context management. If you tell a model with blank context ‘you are an extremely rigorous reviewer searching for fake citations in a possibly compromised text’ then it will find errors. It’s this weird situation where getting agents to act against other agents is more effective than trying to convince a working agent that it’s made a mistake. Perhaps…
If you truly think that you have an effective solution to hallucinations, you will become instantly rich because literally no one out there has an idea for an economically and technologically feasible solution to hallucinations