
PseudoAct: Pseudocode for Smarter LLM Agents
PseudoAct is a new framework that uses LLM-generated pseudocode to create structured plans for agents, encoding control flows like loops, conditionals, and parallelism. It overcomes ReAct's limitations in long-horizon tasks by reducing redundant actions and ensuring coherent execution. Experiments show 20.93% success gain on FEVER and new SOTA on HotpotQA.







