Early Stopping Harmful LLM Outputs with Streaming Content Monitoring

FineHarm, a ~29 000‑pair dataset with token‑level harm labels, lets SCM stop harmful output after just 18 % of tokens; accepted at NeurIPS 2025. getnews.me/early-stopping-harmful-l... #fineharm #scm

Streaming Monitoring Allows Early Stop of Harmful LLM Output

A new Streaming Content Monitor can detect harmful LLM output after reading just ~18% of tokens, cutting latency while keeping accuracy. It boosts macro F1 by over 0.95 points. getnews.me/streaming-monitoring-all... #llmsafety #fineharm