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Seoyeon Kim

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Jul 2026

SyRuP: Enhancing System-Prompt Following via Reward-Guided Prediction in LLM Decoding

SyRuP, a decoding-time framework for improving system-prompt adherence while keeping the base LM frozen, and explicit token-level guidance are introduced, suggest that explicit token-level guidance is an effective and practical mechanism for reliable system-prompt following.

Seoyeon Kim, Minjae Kang, Jaehyung Kim · 0 citations
#natural language process... Preprint Jun 2026

Bounded Personas Match Retrieval on Classification but Not Regression for a Frozen Agent

PersonaLink is introduced, a training-free method that distills a user's history into a bounded three-field persona and recursively refines it: each pass self-evaluates the frozen agent on a held-out slice of the user's own labeled history, rewrites the persona from its errors, and keeps the result only when it does no...

Jae Sung Yoon, Minjun Park, Seoyeon Kim et al. · 0 citations
#natural language process... Preprint Jul 2026

SyRuP: Enhancing System-Prompt Following via Reward-Guided Prediction in LLM Decoding

SyRuP is introduced, a decoding-time framework for improving system-prompt adherence while keeping the base LM frozen, and results suggest that explicit token-level guidance is an effective and practical mechanism for reliable system-prompt following.

Seoyeon Kim, Minjae Kang, Jaehyung Kim · 0 citations

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