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Chuan Shi
Observed name:
Shi, Chuan
Institution:
Beijing University of Posts and Telecommunications
Observed institution:
Beijing University of Posts and Telecommunications
OpenAlex ID:
A5123474253
Position: how can graphs help large language models?
2026
·
Xiyuan Wang
, Yi Hu
, et al.
·
Frontiers of Computer Science
PDF
HiSkill: Empowering LLM Agents with Hierarchical Skill Graphs
2026
·
Hao, Yu
, Cai, Jinxuan
, et al.
·
arXiv (Cornell University)
PDF
ParaTool: Shifting Tool Representations from Context to Parameters
2026
·
Yu, Zekai
, Meng, Qi
, et al.
·
arXiv (Cornell University)
PDF
RelPrism: A Multi-Faceted Pre-training Framework with Self-Generated Tasks for Relational Databases
2026
·
Yang, Jinyu
, Yang, Cheng
, et al.
·
arXiv (Cornell University)
PDF
Hypergraph as Language
2026
·
Lei, Mengqi
, Xie, Guohuan
, et al.
·
arXiv (Cornell University)
PDF
Revisiting Graph-Tokenizing Large Language Models: A Systematic Evaluation of Graph Token Understanding
2026
·
Zhang, Zhongjian
, Yu, Yue
, et al.
·
arXiv (Cornell University)
PDF
Graph Tokenization for Bridging Graphs and Transformers
2026
·
Guo, Zeyuan
, Diao, Enmao
, et al.
·
arXiv (Cornell University)
PDF
MASFactory: A Graph-centric Framework for Orchestrating LLM-Based Multi-Agent Systems with Vibe Graphing
2026
·
Liu, Yang
, Cai, Jinxuan
, et al.
·
arXiv (Cornell University)
PDF
Relational In-Context Learning via Synthetic Pre-training with Structural Prior
2026
·
Wang, Yanbo
, You, Jiaxuan
, et al.
·
arXiv (Cornell University)
PDF
Toward Graph-Tokenizing Large Language Models with Reconstructive Graph Instruction Tuning
2026
·
Zhang, Zhongjian
, Wang, Xiao
, et al.
·
arXiv (Cornell University)
PDF
Data-centric Prompt Tuning for Dynamic Graphs
2026
·
Peng, Yufei
, Yang, Cheng
, et al.
·
arXiv (Cornell University)
PDF
HeTGB: A Comprehensive Benchmark for Heterophilic Text-Attributed Graphs
2026
·
Shujie Li
, Yuxia Wu
, et al.
·
Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
From Monolithic Blending to Agentic Orchestration: Dynamic Response for Conversational Assistants at Scale
2026
·
Cen Zhao
, Peng Wang
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
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Works count:
13
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