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cs.CL2026
SyRuP: Enhancing System-Prompt Following via Reward-Guided Prediction in LLM Decoding
Seoyeon Kim, Minjae Kang, Jaehyung Kim
Large Language Models (LLMs) are increasingly controlled through system prompts that specify roles, formats, and safety requirements. However, models follow these prompts only impl…
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…