Personalized LLM rankings using ELO and Bradley-Terry on 115 users show low correlation with aggregate rankings (BT ρ=0.04), highlighting the need for user-specific benchmarks.
This hypothesis is supported by the user’s questions about how to button up their sleeve cuffs and how to solve a math problem involving a coin with two tails sides
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Personalized Benchmarking: Evaluating LLMs by Individual Preferences
Personalized LLM rankings using ELO and Bradley-Terry on 115 users show low correlation with aggregate rankings (BT ρ=0.04), highlighting the need for user-specific benchmarks.