How would you detect and correct for length bias in you...

To detect length bias, you should disaggregate win rates by output-length brackets and compare chatbot-arena rankings against standard benchmark rankings to identify divergences. To correct for it, you can employ a reward model explicitly trained to be length-neutral. Additionally, you can introduce length-controlled paired comparisons, where both responses are truncated to the same token count before undergoing human or model rating.