Papers by Jieyang Peng

1 papers
TDCSA: LLM-Guided Top-Down Approach for Robust Citation Sentiment Analysis (2025.findings-acl)

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Challenge: Citation Sentiment Analysis (CSA) is a key part of academic influence and knowledge diffusion.
Approach: They propose a top-down framework that leverages LLMs’ semantic understanding capabilities to enhance PLM-based Citation Sentiment Analysis.
Outcome: The proposed framework outperforms existing methods while maintaining robustness to quadruple quality variations.

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