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Generating Constructive Feedback on Stories via Reinforcement Learning

arXiv · AI, language, vision and robotics · article · Sep 4, 2026 · UTC

Constructive feedback is crucial for creative writers to refine their storytelling abilities. Since receiving feedback from human experts is often costly and time-intensive, large language models (LLMs) offer a scalable and efficient alternative as automatic writing assistants. Despite their potential, research indicates that LLM-generated feedback is often generic, lacks actionability, and fails to identify which writing issue is most critical. To address these limitations, we present a reinforcement learning approach that steers LLMs to generate constructive feedback without the need for gro

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Evidence & attribution

First collected: 2026-09-20T22:31:48.298Z. This is not the publication date.