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Beyond Score Prediction: LLM-Based Essay Scoring and Feedback Generation via Reinforcement Learning with Rubric Rewards
Large language models (LLMs) have been widely applied to automated essay scoring (AES) and automated feedback generation (AFG). However, existing studies rely primarily on prompt engineering or supervised fine tuning, while systematic research on reinforcement learning (RL) post training and automated evaluation of feedback quality remains limited. We propose RLAES, a unified LLM framework that jointly optimizes e...