2 citations · 3 across the 12 of their papers we have counts for
12 papers
Evidence-Aligned Entity Verification for Hallucination Detection in Retrieval-Augmented Generation
Runsong Jia, Zhen Fang, Mengjia Wu +2
Hallucination detection is crucial for large language models (LLMs), as hallucinated content creates significant barriers in applications requiring factual accuracy. Current detect…
Agent-Enhanced Heterogeneous Graph RAG for Academic Question Answering
Runsong Jia, Mengjia Wu, Ying Ding +2
Academic question answering requires reasoning over heterogeneous scholarly graphs, where queries range from simple attribute lookups to multi-hop inference across author--paper--v…
Understanding before verifying: Claim normalization for automated citation verification
Yifan He, Mengjia Wu, Siming Deng +1
Citation accuracy has been studied for decades because of its importance to research reliability. Content-level citation verification assesses the reliability of scholarly claims.…
Beyond Citations: Comparing Scholarly, Policy, and Patent Impact Across the FT50 Journals
Arash Hajikhani, Yi Zhang, Mengjia Wu
The Financial Times 50 (FT50) journal list shapes hiring, promotion, accreditation, and research evaluation across business schools worldwide. Yet journals on the list are typicall…
Forget Less, Generalize More: Unifying Temporal and Structural Adaptation for Dynamic Graphs
Qian Chang, Ciprian Doru Giurcaneanu, Runsong Jia +6
Representation learning on dynamic graphs requires capturing complex dependencies that evolve across both time and structure. Existing approaches typically adopt fixed temporal dec…
From Query to Counsel: Structured Reasoning with a Multi-Agent Framework and Dataset for Legal Consultation
Mingfei Lu, Yi Zhang, Mengjia Wu +1
Legal consultation question answering (Legal CQA) presents unique challenges compared to traditional legal QA tasks, including the scarcity of high-quality training data, complex t…
Large language models for post-publication research evaluation: Evidence from expert recommendations and citation indicators
Mengjia Wu, Yi Zhang, Robin Haunschild +1
Assessing the quality of scientific research is essential for scholarly communication, yet widely used approaches face limitations in scalability, subjectivity, and time delay. Rec…
AI-Enhanced Multi-Dimensional Measurement of Technological Convergence through Heterogeneous Graph and Semantic Learning
Siming Deng, Runsong Jia, Chunjuan Luan +2
Technological convergence refers to the phenomenon where boundaries between technological areas and disciplines are increasingly blurred. It enables the integration of previously d…
HetGCoT: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Academic Question Answering
Runsong Jia, Mengjia Wu, Ying Ding +2
Academic question answering (QA) in heterogeneous scholarly networks presents unique challenges requiring both structural understanding and interpretable reasoning. While graph neu…
Two Birds with One Stone: Improving Rumor Detection by Addressing the Unfairness Issue
Junyi Chen, Mengjia Wu, Qian Liu +2
The degraded performance and group unfairness caused by confounding sensitive attributes in rumor detection remains relatively unexplored. To address this, we propose a two-step fr…
Responsible AI: Portraits with Intelligent Bibliometrics
Yi Zhang, Mengjia Wu, Guangquan Zhang +1
Shifting the focus from principles to practical implementation, responsible artificial intelligence (AI) has garnered considerable attention across academia, industry, and society…
Stepping beyond your comfort zone: Diffusion-based network analytics for knowledge trajectory recommendation
Yi Zhang, Mengjia Wu, Jie Lu
Interest in tracing the research interests of scientific researchers is rising, and particularly that of predicting a researcher's knowledge trajectories beyond their current foci…