Author

Cheng-Zhi Zhang

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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

#natural language process... Review Sep 2026

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

Automatic scientific survey generation has become an important task in scientific document processing. The common approach of retrieving literature from a single source (e.g., arXiv) and generating surveys through a one-pass large language model (LLM) call often leads to limited reference coverage and, more importantly...

Tong Bao, Mir Tafseer Nayeem, Yi Zhao et al. · Knowledge-Based Systems · 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. · Expert systems with applicat... · 0 citations