Complex multi-goal tasks make the evaluation harder: some models miss requirements or enter unnecessary iterations, while the best models perform well and overall scores are much lower.

“which makes the thing hard and it's possible that you might miss out on certain things and we see that's the best models are good at it but certain models are really struggling on it and they can go into iterations for no reason and so the scores are coming out to be lower much lower like the main problem point nine five”