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1 Nov 2024 Latent Space In the Arena: How LMSys changed LLM Benchmarking Forever

“Hard in chatbot arena, but where it is easier is in red teaming, because in red teaming, there's an explicit game.”

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Speaker unverified
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Not verified from this transcript
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preference
Recorded
1 Nov 2024
Publisher
Latent Space

Transcript context

…We want to do it. There's also this idea of constructing a user leaderboard. What does that mean? That means some users are better than others. And how do we measure that? How do we quantify that? Hard in chatbot arena, but where it is easier is in red teaming, because in red teaming, there's an explicit game. You're trying to break the model, you either win or you lose. So what you can do is you can say, Hey, what's really happening here is that the models and humans are playing a game against one another. And then you can use the same sort of Bradley Terry methodology with some, some extensions that we came up with in one of you can read one of our recent blog posts for, for the sort of theoretical extensions. You can attribute like strength back to individual players and jointly attribute strength to like the models that are in this jailbreaking game, along with the target tasks, like what types of jailbreaks you want. So yeah.…

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