18 citations · 28 across the 6 of their papers we have counts for
6 papers
Impact of large language models on peer review opinions from a fine-grained perspective: Evidence from top conference proceedings in AI
Wenqing Wu, Chengzhi Zhang, Yi Zhao +1
With the rapid advancement of Large Language Models (LLMs), the academic community has faced unprecedented disruptions, particularly in the realm of academic communication. The pri…
Beyond Single-Dimension Novelty: How Combinations of Theory, Method, and Results-based Novelty Shape Scientific Impact
Yi Zhao, Yang Chenggang, Yuzhuo Wang +3
Scientific novelty drives advances at the research frontier, yet it is also associated with heightened uncertainty and potential resistance from incumbent paradigms, leading to com…
SurveyGen: Quality-Aware Scientific Survey Generation with Large Language Models
Tong Bao, Mir Tafseer Nayeem, Davood Rafiei +1
Automatic survey generation has emerged as a key task in scientific document processing. While large language models (LLMs) have shown promise in generating survey texts, the lack…
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…
Enhancing Abstractive Summarization of Scientific Papers Using Structure Information
Tong Bao, Heng Zhang, Chengzhi Zhang
Abstractive summarization of scientific papers has always been a research focus, yet existing methods face two main challenges. First, most summarization models rely on Encoder-Dec…
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…