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SyRuP: Enhancing System-Prompt Following via Reward-Guided Prediction in LLM Decoding
arXiv cs.CL — Computation and Language
Factual evidence
What the source reports
SyRuP, a new method, aims to improve LLM adherence to complex system prompts during decoding without requiring model tuning or reranking.
OneBench interpretation
Institutional assessment
So what
Improved system prompt following reduces output failures and increases deterministic control over model behavior at inference.
Do what
Add to the Q1 2025 roadmap for foundation model research evaluation.