Re:Disagreement Among Frontier LLMs on Real-World Fact-Checks
by kostaj on Thursday May 28, 2026 @09:02AM
(#48308378)
Two of the models used have retrieval capabilities and have access to newer information through search. The other three are parametric.
Re:Disagreement Among Frontier LLMs on Real-World Fact-Checks
by simonw on Thursday May 28, 2026 @09:05AM
(#48308440)
Comparing models with search tools to models without - when there's no option for "I am unable to answer this question without access to search" - doesn't make sense to me.
Re:Disagreement Among Frontier LLMs on Real-World Fact-Checks
by kostaj on Thursday May 28, 2026 @10:19AM
(#48309313)
Agree about comparing models with and without search capabilities. Even the two models with search capabilities (Sonar Pro and Gemini) agree only on 58% of the claims.
Re:Disagreement Among Frontier LLMs on Real-World Fact-Checks
by furyofantares on Thursday May 28, 2026 @09:11AM
(#48308511)
Yes, so in that case you set them up to disagree and then measured disagreement.
Re:Disagreement Among Frontier LLMs on Real-World Fact-Checks
by throw310822 on Thursday May 28, 2026 @09:06AM
(#48308453)
The title mention "fact-checks", but "fact checking" is a process in which facts are checked against sources, not one where you are given a random fact and have to tell if it's true or false from your own memory. That's what is normally called a quiz game. So a more honest title for this research would be "Models answer differently to quiz questions".
Re:Disagreement Among Frontier LLMs on Real-World Fact-Checks
by jiggawatts on Thursday May 28, 2026 @10:18PM
(#48318209)
> "Models answer differently to quiz questions".
from their future
It's as if you asked a human in 2026 to "fact check" something from 2027.
You're going to get an educated guess at best, a coin flip at worst.
This is doubly problematic because you evaluated earlier models like Gemini Pro 3 instead of 3.1, GPT 5.4 instead of 5.5, etc...
Given that it's only a thousand short questions, you should be able to re-run your test in about an hour with the latest models, so... why haven't you?
Similarly, LLM output is non-deterministic, so if you could get more interesting stats of your data set by repeating each question 'n' times for each model.