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Tong Bao

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Preprint Aug 2026

More Computational Resources Do Not Ensure Higher Scholarly Impact: Evidence from Leading NLP Conference Papers

Overall, reported GPU resources are associated with scholarly impact but provide little standalone explanation of research influence, while reported capability increased mainly through newer hardware generations and medium-scale multi-GPU configurations.

Shuaipeng Chen, Tong Bao, Ji-Tong Peng et al. · 0 citations

SurveyAgent-HKA: A multi-agent framework for scientific survey generation with LLMs and human knowledge augmentation

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. · 0 citations
#natural language process... Open access Sep 2026

Measuring the novelty of biomedical papers using the latent distances between knowledge units

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. · 0 citations
Open access Aug 2026

Enhancing scientific named entity recognition via large language models: a type-driven multi-task learning approach

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. · 0 citations

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