FiVeD adds a fine-grained verifier to ASTE systems, trained on multiple objectives including validity, quality scores, error types, and rationales from LLM rubrics, yielding up to 3.53 F1 gains across baselines.
2025.RLSF: Fine-tuning LLMs via Symbolic Feedback
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Fine-grained Verification via Diagnostic Reasoning Supervision for Aspect Sentiment Triplet Extraction
FiVeD adds a fine-grained verifier to ASTE systems, trained on multiple objectives including validity, quality scores, error types, and rationales from LLM rubrics, yielding up to 3.53 F1 gains across baselines.