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cs.LG2025
Beyond Pairwise: Empowering LLM Alignment With Ranked Choice Modeling
Yuxuan Tang, Yifan Feng
Alignment of large language models (LLMs) has predominantly relied on pairwise preference optimization, where annotators select the better of two responses to a prompt. While simpl…
cs.LG2022★ 1 cited
On A Mallows-type Model For (Ranked) Choices
Yifan Feng, Yuxuan Tang
We consider a preference learning setting where every participant chooses an ordered list of most preferred items among a displayed set of candidates. (The set can be different…