| Relation-aware entity alignment for heterogeneous knowledge graphs Y Wu, X Liu, Y Feng, Z Wang, R Yan, D Zhao IJCAI 2019, 2019 | 401 | 2019 |
| Jointly learning entity and relation representations for entity alignment Y Wu, X Liu, Y Feng, Z Wang, D Zhao EMNLP 2019, 2019 | 201 | 2019 |
| Neighborhood matching network for entity alignment Y Wu, X Liu, Y Feng, Z Wang, D Zhao ACL 2020, 2020 | 161 | 2020 |
| Things not written in text: Exploring spatial commonsense from visual signals X Liu, D Yin, Y Feng, D Zhao ACL 2022, 2022 | 50 | 2022 |
| 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 | 38 | 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 EMNLP 2023, 2023 | 37 | 2023 |
| Everything has a cause: Leveraging causal inference in legal text analysis X Liu*, D Yin*, Y Feng, Y Wu, D Zhao NAACL 2021, 2021 | 37 | 2021 |
| 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 Findings of ACL 2024, 2024 | 25 | 2024 |
| The magic of IF: Investigating causal reasoning abilities in large language models of code X Liu, D Yin, C Zhang, Y Feng, D Zhao Findings of ACL 2023, 2023 | 18 | 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 | 17 | 2022 |
| Counterfactual recipe generation: Exploring compositional generalization in a realistic scenario X Liu, Y Feng, J Tang, C Hu, D Zhao EMNLP 2022, 2022 | 10 | 2022 |
| Teaching Large Language Models an Unseen Language on the Fly C Zhang, X Liu, J Lin, Y Feng Findings of ACL 2024, 2024 | 9 | 2024 |
| 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 |
| 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 Findings of ACL 2023, 2023 | 6 | 2023 |
| 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 |
| CASA: Causality-driven Argument Sufficiency Assessment X Liu, Y Feng, KW Chang NAACL 2024, 2024 | 2 | 2024 |
| Eliciting and Improving the Causal Reasoning Abilities of Large Language Models with Conditional Statements X Liu, D Yin, C Zhang, D Zhao, Y Feng Computational Linguistics, 1-38, 2025 | | 2025 |
| QUDSELECT: Selective Decoding for Questions Under Discussion Parsing A Suvarna, X Liu, T Parekh, KW Chang, N Peng arXiv preprint arXiv:2408.01046, 2024 | | 2024 |
| DINER: a Large Realistic Dataset for Evaluating Compositional Generalization C Hu, X Liu, Y Feng EMNLP 2023, 2023 | | 2023 |
Yansong FengPeking UniversityVerified email at pku.edu.cn
