Behavioral Controllability of Agentic Models for Information Extraction: From Fixed Workflows to Reflective Agents
英文标题：Behavioral Controllability of Agentic Models for Information Extraction: From Fixed Workflows to Reflective Agents
arXiv:2607.15715v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly used for complex information-extraction tasks, yet it remains unclear whether agentic components such as reflection and memory lead to observable and controllable improvements over fixed LLM workflows
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arXiv:2607.15715v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly used for complex information-extraction tasks, yet it remains unclear whether agentic components such as reflection and memory lead to observable and controllable improvements over fixed LLM workflows
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