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20222026
most citedHetGCoT: Heterogeneous Graph-Enhanced Chain-of-Thought LLM Reasoning for Academic Question Answering

2 citations · 3 across the 12 of their papers we have counts for

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7 papers · 1 filter

cs.AI2026

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…

cs.SI2026★ 1 cited

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…

cs.IR2026

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.…

cs.DL2026

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…

cs.LG2026

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…

cs.CL2026

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…

cs.IR2026

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…