2 papers
cs.AI2026
InterPol: De-anonymizing LM Arena via Interpolated Preference Learning
Minsung Cho, Jaehyung Kim
Strict anonymity of model responses is a key for the reliability of voting-based leaderboards, such as LM Arena. While prior studies have attempted to compromise this assumption us…
cs.CL2025
Personalized LLM Decoding via Contrasting Personal Preference
Hyungjune Bu, Chanjoo Jung, Minjae Kang +1
As large language models (LLMs) are progressively deployed in various real-world applications, personalization of LLMs has become increasingly important. While various approaches t…