most citedGRAG: Graph Retrieval-Augmented Generation

10 citations · 19 across the 10 of their papers we have counts for

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cs.CL2024

Taxonomy Tree Generation from Citation Graph

Yuntong Hu, Zhuofeng Li, Zheng Zhang +4

Constructing taxonomies from citation graphs is essential for organizing scientific knowledge, facilitating literature reviews, and identifying emerging research trends. However, m…

cs.CL2024★ 2 cited

TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs

Zhuofeng Li, Zixing Gou, Xiangnan Zhang +6

Text-Attributed Graphs (TAGs) augment graph structures with natural language descriptions, facilitating detailed depictions of data and their interconnections across various real-w…

cs.CL2024★ 4 cited

ELAD: Explanation-Guided Large Language Models Active Distillation

Yifei Zhang, Bo Pan, Chen Ling +2

The deployment and application of Large Language Models (LLMs) is hindered by their memory inefficiency, computational demands, and the high costs of API inferences. Traditional di…

cs.CL2024

SparseLLM: Towards Global Pruning for Pre-trained Language Models

Guangji Bai, Yijiang Li, Chen Ling +2

The transformative impact of large language models (LLMs) like LLaMA and GPT on natural language processing is countered by their prohibitive computational demands. Pruning has eme…

cs.CL2024★ 2 cited

A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models

Mingchen Li, Chen Ling, Rui Zhang +1

Zero-shot link prediction (ZSLP) on knowledge graphs aims at automatically identifying relations between given entities. Existing methods primarily employ auxiliary information to…