Pairwise feedback
Chatbot Arena Ranking Algorithm
We study ranking and Pareto-set identification in Chatbot Arena through binary pairwise feedback, developing algorithms for both synthetic and realistic preference settings.
01 — Research
R / 01
RL / Theory
Pairwise feedback
We study ranking and Pareto-set identification in Chatbot Arena through binary pairwise feedback, developing algorithms for both synthetic and realistic preference settings.
R / 02
LLM / Interpretability
Mechanistic study
We investigate how chain-of-thought supports counting by tracing the mechanism from controlled synthetic tasks to realistic needle-in-a-haystack settings.