| Relation-aware entity alignment for heterogeneous knowledge graphs Y Wu, X Liu, Y Feng, Z Wang, R Yan, D Zhao arXiv preprint arXiv:1908.08210, 2019 | 322 | 2019 |
| Jointly learning entity and relation representations for entity alignment Y Wu, X Liu, Y Feng, Z Wang, D Zhao arXiv preprint arXiv:1909.09317, 2019 | 160 | 2019 |
| Neighborhood matching network for entity alignment Y Wu, X Liu, Y Feng, Z Wang, D Zhao arXiv preprint arXiv:2005.05607, 2020 | 130 | 2020 |
| Things not written in text: Exploring spatial commonsense from visual signals X Liu, D Yin, Y Feng, D Zhao arXiv preprint arXiv:2203.08075, 2022 | 38 | 2022 |
| Everything has a cause: Leveraging causal inference in legal text analysis X Liu*, D Yin*, Y Feng, Y Wu, D Zhao arXiv preprint arXiv:2104.09420, 2021 | 28 | 2021 |
| A graph learning based approach for identity inference in dapp platform blockchain X Liu, Z Tang, P Li, S Guo, X Fan, J Zhang IEEE Transactions on Emerging Topics in Computing 10 (1), 438-449, 2020 | 27 | 2020 |
| Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation D Yin*, X Liu*, F Yin*, M Zhong*, H Bansal, J Han, KW Chang arXiv preprint arXiv:2305.14327, 2023 | 17 | 2023 |
| Dual-channel evidence fusion for fact verification over texts and tables N Hu, Z Wu, Y Lai, X Liu, Y Feng Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 10 | 2022 |
| The magic of IF: Investigating causal reasoning abilities in large language models of code X Liu, D Yin, C Zhang, Y Feng, D Zhao arXiv preprint arXiv:2305.19213, 2023 | 7 | 2023 |
| A soft label strategy for target-level sentiment classification D Yin, X Liu, X Wu, B Chang Proceedings of the Tenth Workshop on Computational Approaches to …, 2019 | 7 | 2019 |
| Counterfactual recipe generation: Exploring compositional generalization in a realistic scenario X Liu, Y Feng, J Tang, C Hu, D Zhao arXiv preprint arXiv:2210.11431, 2022 | 5 | 2022 |
| Interactive multi-grained joint model for targeted sentiment analysis D Yin, X Liu, X Wan Proceedings of the 28th ACM International Conference on Information and …, 2019 | 3 | 2019 |
| How Many Answers Should I Give? An Empirical Study of Multi-Answer Reading Comprehension C Zhang, J Lin, X Liu, Y Lai, Y Feng, D Zhao arXiv preprint arXiv:2306.00435, 2023 | 2 | 2023 |
| Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with Data X Liu, Z Wu, X Wu, P Lu, KW Chang, Y Feng arXiv preprint arXiv:2402.17644, 2024 | 1 | 2024 |
| Teaching Large Language Models an Unseen Language on the Fly C Zhang, X Liu, J Lin, Y Feng arXiv preprint arXiv:2402.19167, 2024 | | 2024 |
| CASA: Causality-driven Argument Sufficiency Assessment X Liu, Y Feng, KW Chang arXiv preprint arXiv:2401.05249, 2024 | | 2024 |
Yansong FengPeking UniversityVerified email at pku.edu.cn
