activity
20232026
most citedGraphusion: A RAG Framework for Knowledge Graph Construction with a Global Perspective

4 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

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.HC2025★ 1 cited

HealthGenie: Empowering Users with Healthy Dietary Guidance through Knowledge Graph and Large Language Models

Fan Gao, Xinjie Zhao, Ding Xia +6

Seeking dietary guidance often requires navigating complex professional knowledge while accommodating individual health conditions. Knowledge Graphs (KGs) offer structured and inte…

cs.CL2024★ 4 cited

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.CL2024★ 3 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.CL2024★ 3 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…

cs.CL2023★ 3 cited

Large Language Models on Wikipedia-Style Survey Generation: an Evaluation in NLP Concepts

Fan Gao, Hang Jiang, Rui Yang +7

Educational materials such as survey articles in specialized fields like computer science traditionally require tremendous expert inputs and are therefore expensive to create and u…