A new arXiv paper proposes Learning What to Skip, a counterfactual credit assignment method that learns which components of multi-agent LLM workflows to omit to save compute without hurting task performance. The approach…
#AI #LLM #MultiAgentSystems #Research
https://arxiv.org/abs/2609.30734
