RLAES-AGFO trains an LLM with GRPO and an LLM-judged 166-item feedback rubric, reaching QWK 0.803 on ASAP while generating feedback rated as well as GPT-5.5.
Enhancing automated essay scoring by leveraging LSTM networks with hyper-parameter tuned word embeddings and fine-tuned LLMs
1 Pith paper cite this work, alongside 8 external citations. Polarity classification is still indexing.
1
Pith paper citing it
8
external citations · OpenAlex
fields
cs.CL 1years
2026 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Beyond Score Prediction: LLM-Based Essay Scoring and Feedback Generation via Reinforcement Learning with Rubric Rewards
RLAES-AGFO trains an LLM with GRPO and an LLM-judged 166-item feedback rubric, reaching QWK 0.803 on ASAP while generating feedback rated as well as GPT-5.5.