2 citations · 3 across the 11 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.…
Grid2Matrix: Revealing Digital Agnosia in Vision-Language Models
Yunkai Zhang, Linda Li, Yingxin Cui +5
Vision-Language Models (VLMs) excel on many multimodal reasoning benchmarks, but these evaluations often do not require an exhaustive readout of the image and can therefore obscure…
Arbitration Failure, Not Perceptual Blindness: How Vision-Language Models Resolve Visual-Linguistic Conflicts
Farhad Nooralahzadeh, Omid Rohanian, Yi Zhang +2
When a Vision-Language Model (VLM) sees a blue banana and answers "yellow", is the problem of perception or arbitration? We explore the question in ten VLMs with various sizes and…
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…
From Newborn to Impact: Bias-Aware Citation Prediction
Mingfei Lu, Mengjia Wu, Jiawei Xu +6
As a key to accessing research impact, citation dynamics underpins research evaluation, scholarly recommendation, and the study of knowledge diffusion. Citation prediction is parti…
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…