FreoStream:Enhancing Stream Guardrails via Future-Aware Reasoning and Safety-Aligned Optimization

Abstract

Stream guardrails enable token-level safety detection before full responses are generated. However, they often make overly conservative judgements and block those sensitive but safe tokens, which is known as over-refusal. Due to lack of full context, they also fail to detect implicitly harmful content from jailbreaking. To address these challenges, we propose FreoStream, a novel streaming guardrail framework. Specifically, FreoStream fine-tunes a LoRA module to perform Future-Aware Reasoning whe

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@misc{wang2026freostreamenhancing,
  title = {{FreoStream:Enhancing Stream Guardrails via Future-Aware Reasoning and Safety-Aligned Optimization}},
  author = {Jianwei Wang and Guoyang Shen and Yanhong Wu and Haoran Li and Hao Peng and Huiping Zhuang and Cen Chen and Ziqian Zeng},
  year = {2026},
  month = jun,
  eprint = {2606.13737},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2606.13737}
}