This study proposes a hierarchical tree-structured knowledge graph that reflects the inheritance relationships and relevance chains among academic papers to assist beginner researchers in efficiently exploring research directions and gaining insights.
ChatGPT and similar LLM tools are increasingly prevalent in scholarly literature, with an estimated 60,000 papers in 2023 being LLM-assisted.
The prevalence of LLM-assisted writing in scholarly literature is estimated to be over 1% of all articles, highlighting the impact of tools like ChatGPT.
RAAMove introduces a corpus for move analysis in research article abstracts to aid move identification and discourse analysis.
Persuasion modes play a crucial role in countering hate speech, with reason being more effective than emotion.
Toronto Metropolitan University's approach to TREC Clinical Trials Track 2023.
OpenAlex's misclassification of publication status, particularly retractions, impacts data accuracy and user trust.
Causal inference is crucial in credit risk assessment methods.
The authors investigate the feasibility of detecting collusion rings in peer review systems through empirical analysis and algorithm evaluation.
AceMap is a system designed to address the challenges of analyzing academic literature through graph-based knowledge discovery. The authors present advanced techniques for database construction, visualization, quantification, and analysis to explore academic entities' associations and relationships.