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Kangping Xu

2 accepted papers

2026

Group Representational Position Encoding

ICLR 2026poster

We present GRAPE (Group RepresentAtional Position Encoding), a unified framework for positional encoding based on group actions. GRAPE brings together two families of mechanisms: (i) multiplicative rotations (Multiplicative GRAPE) in $\operatorname{SO}(d)$ and (ii) additive logit biases (Additive GR…

Cited by 0SourcecodeScholar
2025

Beyond Bradley-Terry Models: A General Preference Model for Language Model Alignment

ICML 2025poster

Modeling human preferences is crucial for aligning foundation models with human values. Traditional reward modeling methods, such as the Bradley-Terry (BT) reward model, fall short in expressiveness, particularly in addressing intransitive preferences. In this paper, we introduce \emph{preference em…