Yuan Sui

According to our database, Yuan Sui authored at least 19 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

What-If Analysis of Large Language Models: Explore the Game World Using Proactive Thinking.

Yuan Sui, Yanming Zhang, Yi Liao, Yu Gu, Guohua Tang, Zhongqian Sun, Wei Yang, Bryan Hooi

CoRR, September, 2025

Enabling Self-Improving Agents to Learn at Test Time With Human-In-The-Loop Guidance.

Yufei He, Ruoyu Li, Alex Chen, Yue Liu, Yulin Chen, Yuan Sui, Cheng Chen, Yi Zhu, Luca Luo, Frank Yang, Bryan Hooi

CoRR, July, 2025

VPI-Bench: Visual Prompt Injection Attacks for Computer-Use Agents.

Tri Cao, Bennett Lim, Yue Liu, Yuan Sui, Yuexin Li, Shumin Deng, Lin Lu, Nay Oo, Shuicheng Yan, Bryan Hooi

CoRR, June, 2025

Robustness via Referencing: Defending against Prompt Injection Attacks by Referencing the Executed Instruction.

Yulin Chen, Haoran Li, Yuan Sui, Yue Liu, Yufei He, Yangqiu Song, Bryan Hooi

CoRR, April, 2025

Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models.

Yuan Sui, Yufei He, Tri Cao, Simeng Han, Bryan Hooi

CoRR, February, 2025

Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals?

Yufei He, Yuexin Li, Jiaying Wu, Yuan Sui, Yulin Chen, Bryan Hooi

CoRR, February, 2025

UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs.

Yufei He, Yuan Sui, Xiaoxin He, Yue Liu, Yifei Sun, Bryan Hooi

Proceedings of the ACM on Web Conference 2025, 2025

UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs.

Yufei He, Yuan Sui, Xiaoxin He, Bryan Hooi

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

FiDeLiS: Faithful Reasoning in Large Language Models for Knowledge Graph Question Answering.

Yuan Sui, Yufei He, Nian Liu, Xiaoxin He, Kun Wang, Bryan Hooi

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering.

Yuan Sui, Yufei He, Zifeng Ding, Bryan Hooi

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Can Indirect Prompt Injection Attacks Be Detected and Removed?

Yulin Chen, Haoran Li, Yuan Sui, Yufei He, Yue Liu, Yangqiu Song, Bryan Hooi

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering.

Yuan Sui, Bryan Hooi

CoRR, 2024

FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering.

Yuan Sui, Yufei He, Nian Liu, Xiaoxin He, Kun Wang, Bryan Hooi

CoRR, 2024

Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study.

Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning.

Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Intelligent predictive maintenance of hydraulic systems based on virtual knowledge graph.

Wei Yan, Yu Shi, Zengyan Ji, Yuan Sui, Zhenzhen Tian, Wanjing Wang, Qiushi Cao

Eng. Appl. Artif. Intell., November, 2023

Evaluating and Enhancing Structural Understanding Capabilities of Large Language Models on Tables via Input Designs.

Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang

CoRR, 2023

2022

Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs.

Yuan Sui, Shanshan Feng, Huaxiang Zhang, Jian Cao, Liang Hu, Nengjun Zhu

Knowl. Based Syst., 2022

Trigger-GNN: A Trigger-Based Graph Neural Network for Nested Named Entity Recognition.

Yuan Sui, Fanyang Bu, Yingting Hu, Liang Zhang, Wei Yan

Proceedings of the International Joint Conference on Neural Networks, 2022