most citedGraphLLM: Boosting Graph Reasoning Ability of Large Language Model

5 citations · 6 across the 4 of their papers we have counts for

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cs.CL2024

First Place Solution of 2023 Global Artificial Intelligence Technology Innovation Competition Track 1

Xiangyu Wu, Hailiang Zhang, Yang Yang +1

In this paper, we present our champion solution to the Global Artificial Intelligence Technology Innovation Competition Track 1: Medical Imaging Diagnosis Report Generation. We sel…

cs.CL2023★ 5 cited

GraphLLM: Boosting Graph Reasoning Ability of Large Language Model

Ziwei Chai, Tianjie Zhang, Liang Wu +4

The advancement of Large Language Models (LLMs) has remarkably pushed the boundaries towards artificial general intelligence (AGI), with their exceptional ability on understanding…