3 citations · 5 across the 8 of their papers we have counts for
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cs.CL2023
GraphextQA: A Benchmark for Evaluating Graph-Enhanced Large Language Models
Yuanchun Shen, Ruotong Liao, Zhen Han +2
While multi-modal models have successfully integrated information from image, video, and audio modalities, integrating graph modality into large language models (LLMs) remains unex…
cs.CL2023★ 1 cited
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models
Ruotong Liao, Xu Jia, Yangzhe Li +2
The rapid advancements in large language models (LLMs) have ignited interest in the temporal knowledge graph (tKG) domain, where conventional embedding-based and rule-based methods…
cs.CL2022★ 3 cited
ECOLA: Enhanced Temporal Knowledge Embeddings with Contextualized Language Representations
Zhen Han, Ruotong Liao, Jindong Gu +6
Since conventional knowledge embedding models cannot take full advantage of the abundant textual information, there have been extensive research efforts in enhancing knowledge embe…