arXiv cs.CLPaper
Training Advisors for LLM Agents from Task Outcomes
This is practically useful. Training a 4B critic that generalizes to larger models and different architectures, with 25+ point improvements on MuSiQue, shows that agent feedback can be factored into a reusable module. For teams building agents, this suggests an efficient path to debugging and iterating on reasoning without touching your base model. Production-ready approach.