CommunityFact: The Wild West of Misinformation Detection

Ok wait because this is actually insane. Have you heard about CommunityFact? It's like the ultimate playground for misinformation detection. We're talking about a benchmark that's got 15,992 standalone claims spread across five languages. It's not just English anymore, bestie.

The Multilingual Challenge

Here's the tea. Misinformation verification is becoming as fast-paced and multilingual as your favorite global pop star's world tour. With CommunityFact, these AI models aren't just chilling with static benchmarks. They're diving into real-world chaos, covering multiple languages and domains. No cap, it's like watching AI try to keep up with a news feed that's constantly refreshing.

And let's talk about granularity. We're not just skimming the surface anymore. The way CommunityFact breaks down claims, it's like getting every episode of your favorite drama in HD. No fuzzy resolutions here.

AI Still Struggling, Human Judgment on Top

So, how are the AI models doing? Well, the results are a mixed bag. Ten LLMs took a shot at this, and guess what? Closed-input verification is still giving them a hard time. Seriously, these models need web access to boost their performance, like a singer needing autotune.

Even with web-enabled LLMs, there's drama. Their source-selection policies are all over the place. They're not vibing with the sources that human Community Notes raters are picking. But here's the plot twist: through specific model tweaks, this gap is closing. Models are getting better with retrieval expansion or pruning. It's like they're finally catching on to the right gossip.

Community Notes as the MVP?

Let's not sleep on the fact that CommunityFact is positioning Community Notes as a training signal. Imagine using them for claim-conditioned source suggestion. That could actually slay verifying new claims. But here's the big question: Will this really turn AI models into misinformation-busting machines?

, CommunityFact isn't just another tool. It's a wake-up call for AI models that need to step up their game in dynamic and multilingual environments. The way this protocol just ate. Iconic.