activity
20232025
most citedRecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models

20 citations · 34 across the 7 of their papers we have counts for

collaborators

7 papers

cs.AI2025

AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots

Xinjie Zhao, Moritz Blum, Fan Gao +10

AGENTiGraph is a user-friendly, agent-driven system that enables intuitive interaction and management of domain-specific data through the manipulation of knowledge graphs in natura…

cs.AI2024★ 1 cited

AGENTiGraph: An Interactive Knowledge Graph Platform for LLM-based Chatbots Utilizing Private Data

Xinjie Zhao, Moritz Blum, Rui Yang +10

Large Language Models~(LLMs) have demonstrated capabilities across various applications but face challenges such as hallucination, limited reasoning abilities, and factual inconsis…

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.IR2023★ 20 cited

RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models

Dairui Liu, Boming Yang, Honghui Du +5

News recommendations heavily rely on Natural Language Processing (NLP) methods to analyze, understand, and categorize content, enabling personalized suggestions based on user inter…

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…