Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering Y Feng, X Chen, BY Lin, P Wang, J Yan, X Ren EMNLP 2020, 2020 | 230 | 2020 |
Incorporating GAN for Negative Sampling in Knowledge Representation Learning P Wang, S Li, R Pan Proceedings of AAAI 2018, 2018 | 140 | 2018 |
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding P Wang, J Han, C Li, R Pan Proceedings of AAAI 2019, 2018 | 136 | 2018 |
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering P Wang, N Peng, F Ilievski, P Szekely, X Ren EMNLP 2020 Findings, 2020 | 83 | 2020 |
SCOTT: Self-Consistent Chain-of-Thought Distillation P Wang, Z Wang, Z Li, Y Gao, B Yin, X Ren ACL 2023, 2023 | 55 | 2023 |
PINTO: Faithful Language Reasoning Using Prompt-Generated Rationales P Wang, A Chan, F Ilievski, M Chen, X Ren ICLR 2023, 2022 | 43 | 2022 |
Contextualized Scene Imagination for Generative Commonsense Reasoning P Wang, J Zamora, J Liu, F Ilievski, M Chen, X Ren ICLR 2022, 2021 | 22 | 2021 |
Do Language Models Perform Generalizable Commonsense Inference? P Wang, F Ilievski, M Chen, X Ren ACL 2021 Findings, 2021 | 18 | 2021 |
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation M Raman, S Agarwal, P Wang, A Chan, H Wang, S Kim, R Rossi, H Zhao, ... ICLR 2021, 2020 | 18 | 2020 |
When Hearst Is not Enough: Improving Hypernymy Detection from Corpus with Distributional Models C Yu, J Han, P Wang, Y Song, H Zhang, W Ng, S Shi EMNLP 2020, 2020 | 11 | 2020 |
DOMINO: A Dual-System for Multi-step Visual Language Reasoning P Wang, O Golovneva, A Aghajanyan, X Ren, M Chen, A Celikyilmaz, ... arXiv preprint arXiv:2310.02804, 2023 | 2 | 2023 |
Building Robust and Explainable AI with Commonsense Knowledge Graphs and Neural Models F Ilievski, M Kaixin, O Alessandro, W Peifeng, P Jay IOS Press, 2023 | | 2023 |