SurveyAgent-HKA is introduced, a multi-agent framework that improves end-to-end scientific survey generation by incorporating knowledge derived from published surveys and peer-review comments and which outperforms mainstream baselines in citation quality, structural consistency, and content quality.
Tong Bao, Mir Tafseer Nayeem, Yi Zhao et al.· Knowledge-Based Systems· 0 citations
This study introduces a comprehensive novelty measurement that incorporates three types of relationships between knowledge units: network, semantic, and hierarchical and demonstrates that combining all three distance metrics yields more effective identification of novel papers than using any single perspective alone.
Yi Zhao, Heng Zhang, Yu-Zhuo Wang et al.· Journal of information scien...· 0 citations
This work proposes TdSciNER, a type-driven approach that effectively leverages entity type information to enhance SciNER performance and develops a novel demonstration selection strategy based on sentence similarity and entity type diversity to activate the in-context learning capabilities of LLMs, thereby improving en...
Tong Bao, Yi Zhao, Heng Zhang et al.· Expert systems with applicat...· 0 citations
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