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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.LG2026
Enhancing Instruction Following of LLMs via Activation Steering with Dynamic Rejection
Minjae Kang, Jaehyung Kim
Large Language Models (LLMs), despite advances in instruction tuning, often fail to follow complex user instructions. Activation steering techniques aim to mitigate this by manipul…