ABSA-R1 uses RL with a cognition-aligned reward model and rejection sampling to generate consistent reasoning paths for sentiment predictions, improving interpretability and performance on ABSA benchmarks.
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From Prediction to Justification: Aligning Sentiment Reasoning with Human Rationale via Reinforcement Learning
ABSA-R1 uses RL with a cognition-aligned reward model and rejection sampling to generate consistent reasoning paths for sentiment predictions, improving interpretability and performance on ABSA benchmarks.