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20212026
most citedA review on the novelty measurements of academic papers

26 citations · 108 across the 15 of their papers we have counts for

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7 papers · 1 filter

cs.CL2026

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

Tong Bao, Mir Tafseer Nayeem, Yi Zhao +2

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., arXi…

cs.CL2026

Enhancing Scientific Named Entity Recognition via Large Language Models: A Type-driven Multi-task Learning Approach

Tong Bao, Yi Zhao, Heng Zhang +1

Scientific named entity recognition (SciNER) plays a crucial role in information extraction and knowledge discovery from scientific texts. Recently, large language models (LLMs) ha…

cs.CL2026

NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessment

Wenqing Wu, Yi Zhao, Yuzhuo Wang +4

Novelty is a core requirement in academic publishing and a central focus of peer review, yet the growing volume of submissions has placed increasing pressure on human reviewers. Wh…

cs.CL2026

Quantifying the Knowledge Proximity Between Academic and Industry Research: An Entity and Semantic Perspective

Hongye Zhao, Yi Zhao, Chengzhi Zhang

The academia and industry are characterized by a reciprocal shaping and dynamic feedback mechanism. Despite distinct institutional logics, they have adapted closely in collaborativ…

cs.CL2025★ 2 cited

The Effect of Gender Diversity on Scientific Team Impact: A Team Roles Perspective

Yi Zhao, Yongjun Zhu, Donghun Kim +4

The influence of gender diversity on the success of scientific teams is of great interest to academia. However, prior findings remain inconsistent, and most studies operationalize…

cs.CL2025★ 10 cited

SC4ANM: Identifying Optimal Section Combinations for Automated Novelty Prediction in Academic Papers

Wenqing Wu, Chengzhi Zhang, Tong Bao +1

Novelty is a core component of academic papers, and there are multiple perspectives on the assessment of novelty. Existing methods often focus on word or entity combinations, which…

cs.CL2025

Examining Linguistic Shifts in Academic Writing Before and After the Launch of ChatGPT: A Study on Preprint Papers

Tong Bao, Yi Zhao, Jin Mao +1

Large Language Models (LLMs), such as ChatGPT, have prompted academic concerns about their impact on academic writing. Existing studies have primarily examined LLM usage in academi…