2025
AgentPro: Enhancing LLM Agents with Automated Process Supervision
EMNLP 2025
Large language model (LLM) agents have demonstrated significant potential for addressing complex tasks through mechanisms such as chain-of-thought reasoning and tool invocation. However, current frameworks lack explicit supervision during the reasoning process, which may lead to error propagation ac