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20232026
most citedLeveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education

3 citations · 7 across the 5 of their papers we have counts for

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cs.CL2026

HealMed: Multilingual Evaluation of Large Language Models in Medicine

Yingjian Chen, Fan Gao, Sherry T. Tong +42

We present HealMed, an expert-reviewed benchmark for multilingual evaluation of large language models in medicine. HealMed contains 1,000 examples in each of nine languages, drawn…

cs.CL2026

Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models

Xiaojie Gu, Sherry T. Tong, Aosong Feng +8

Evaluating the reasoning abilities of large language models (LLMs) solely from final answers can obscure failures in intermediate steps, especially in multi-hop QA benchmarks witho…

cs.CL2024

Graphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective

Rui Yang, Boming Yang, Aosong Feng +7

Knowledge Graphs (KGs) are crucial in the field of artificial intelligence and are widely used in downstream tasks, such as question-answering (QA). The construction of KGs typical…

cs.CL20243 cited

Graphusion: Leveraging Large Language Models for Scientific Knowledge Graph Fusion and Construction in NLP Education

Rui Yang, Boming Yang, Sixun Ouyang +6

Knowledge graphs (KGs) are crucial in the field of artificial intelligence and are widely applied in downstream tasks, such as enhancing Question Answering (QA) systems. The constr…

cs.CL20243 cited

Leveraging Large Language Models for Concept Graph Recovery and Question Answering in NLP Education

Rui Yang, Boming Yang, Sixun Ouyang +6

In the domain of Natural Language Processing (NLP), Large Language Models (LLMs) have demonstrated promise in text-generation tasks. However, their educational applications, partic…