| Table meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study Y Sui, M Zhou, M Zhou, S Han, D Zhang WSDM 2024, 2023 | 128* | 2023 |
| TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model reasoning Y Sui, J Zou, M Zhou, X He, L Du, S Han, D Zhang EMNLP 2024, 2024 | 28 | 2024 |
| UniGraph: Learning a Unified Cross-Domain Foundation Model for Text-Attributed Graphs Y He, Y Sui, X He, B Hooi KDD 2025, 2024 | 25* | 2024 |
| Trigger-GNN: A Trigger-based Graph Neural Network for Nested Named Entity Recognition Y Sui, F Bu, Y Hu, L Zhang, W Yan IJCNN 2022, 2022 | 17 | 2022 |
| Intelligent Predictive Maintenance of Hydraulic Systems based on Virtual Knowledge Graph W Yan, Y Shi, Z Ji, Y Sui, Z Tian, W Wang, Q Cao Engineering Applications of Artificial Intelligence (EAAI) 126, 106798, 2023 | 15 | 2023 |
| Causality-aware Enhanced Model for Multi-hop Question Answering over Knowledge Graphs Y Sui, S Feng, H Zhang, J Cao, L Hu, N Zhu Knowledge-based Systems (KBS) 250, 108943, 2022 | 15 | 2022 |
| FiDeLiS: Faithful Reasoning in Large Language Model for Knowledge Graph Question Answering Y Sui, Y He, N Liu, X He, K Wang, B Hooi arXiv preprint arXiv:2405.13873, 2024 | 7 | 2024 |
| Question Answering System based on Tourism Knowledge Graph Y Sui The 3rd International Conference on Computer Information and Big Data …, 2022 | 5 | 2022 |
| Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study over Open-ended Question Answering Y Sui, Y He, Z Ding, B Hooi arXiv preprint arXiv:2410.08085, 2024 | 2 | 2024 |
| UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs Y He, Y Sui, X He, Y Liu, Y Sun, B Hooi WebConf 2025, 2025 | 1 | 2025 |
| Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models Y Sui, Y He, T Cao, S Han, B Hooi arXiv preprint arXiv:2502.19918, 2025 | | 2025 |
| Can Indirect Prompt Injection Attacks Be Detected and Removed? Y Chen, H Li, Y Sui, Y He, Y Liu, Y Song, B Hooi arXiv preprint arXiv:2502.16580, 2025 | | 2025 |
| Evaluating the Paperclip Maximizer: Are RL-Based Language Models More Likely to Pursue Instrumental Goals? Y He, Y Li, J Wu, Y Sui, Y Chen, B Hooi arXiv preprint arXiv:2502.12206, 2025 | | 2025 |
Mengyu ZhouMicrosoft ResearchVerifisert e-postadresse på microsoft.com
