| Siren's song in the AI ocean: a survey on hallucination in large language models Y Zhang, Y Li, L Cui, D Cai, L Liu, T Fu, X Huang, E Zhao, Y Zhang, ... Computational Linguistics, 2023 | 1832 | 2023 |
| Benchmarking graph neural networks VP Dwivedi, CK Joshi, LA Tuan, T Laurent, Y Bengio, X Bresson Journal of Machine Learning Research, 2023 | 1637 | 2023 |
| Recipe for a General, Powerful, Scalable Graph Transformer L Rampášek, M Galkin, VP Dwivedi, AT Luu, G Wolf, D Beaini NeurIPS 2022, 2022 | 1073 | 2022 |
| Graph Neural Networks with Learnable Structural and Positional Representations VP Dwivedi, AT Luu, T Laurent, Y Bengio, X Bresson ICLR 2022, 2022 | 585 | 2022 |
| Multi-Pointer Co-Attention Networks for Recommendation Y Tay, LA Tuan, SC Hui KDD 2018, 2018 | 401 | 2018 |
| Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking Y Tay, LA Tuan, SC Hui WWW 2018, 2018 | 390 | 2018 |
| Long Range Graph Benchmark VP Dwivedi, L Rampášek, M Galkin, A Parviz, G Wolf, AT Luu, D Beaini NeurIPS 2022, 2022 | 380 | 2022 |
| Reasoning with Sarcasm by Reading In-between Y Tay, LA Tuan, SC Hui, J Su ACL 2018, 2018 | 292 | 2018 |
| Learning to Attend via Word-Aspect Associative Fusion for Aspect-based Sentiment Analysis Y Tay, AT Luu, SC Hui AAAI 2018, 2017 | 236 | 2017 |
| Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges B Ding, C Qin, R Zhao, T Luo, X Li, G Chen, W Xia, J Hu, AT Luu, S Joty ACL 2024, 2024 | 234* | 2024 |
| Fact-Checking Complex Claims with Program-Guided Reasoning L Pan, X Wu, X Lu, AT Luu, WY Wang, MY Kan, P Nakov ACL 2023, 2023 | 192 | 2023 |
| Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering Y Tay, LA Tuan, SC Hui Proceedings of the International Conference on Web Search and Data Mining …, 2018 | 185* | 2018 |
| SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring Y Tay, MC Phan, LA Tuan, SC Hui AAAI 2018, 2017 | 183 | 2017 |
| Compare, compress and propagate: Enhancing neural architectures with alignment factorization for natural language inference Y Tay, LA Tuan, SC Hui EMNLP 2018, 2018 | 179 | 2018 |
| Chatkbqa: A generate-then-retrieve framework for knowledge base question answering with fine-tuned large language models H Luo, Z Tang, S Peng, Y Guo, W Zhang, C Ma, G Dong, M Song, W Lin, ... ACL 2024, 2024 | 152 | 2024 |
| Learning to Rank Question Answer Pairs with Holographic Dual LSTM Architecture Y Tay, MC Phan, LA Tuan, SC Hui SIGIR 2017, 2017 | 146 | 2017 |
| A survey on neural topic models: methods, applications, and challenges X Wu, T Nguyen, AT Luu Artificial Intelligence Review 57 (2), 18, 2024 | 145 | 2024 |
| Towards Robustness Against Natural Language Word Substitutions X Dong, AT Luu, R Ji, H Liu ICLR 2021, 2021 | 144 | 2021 |
| Simple and Effective Curriculum Pointer-Generator Networks for Reading Comprehension over Long Narratives Y Tay, S Wang, LA Tuan, J Fu, MC Phan, X Yuan, J Rao, SC Hui, A Zhang ACL 2019, 2019 | 137 | 2019 |
| Prompt as triggers for backdoor attack: Examining the vulnerability in language models S Zhao, J Wen, LA Tuan, J Zhao, J Fu EMNLP 2023, 2023 | 130 | 2023 |
Yi TayResearch Scientist, Google DeepMindVerified email at google.com
