| Lawyer LLaMA: Enhancing LLMs with Legal Knowledge Q Huang*, M Tao*, C Zhang*, Z An*, C Jiang, Z Chen, Z Wu, Y Feng arXiv preprint arXiv:2305.15062, 2023 | 143* | 2023 |
| Why Machine Reading Comprehension Models Learn Shortcuts Y Lai, C Zhang, Y Feng, Q Huang, D Zhao Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 | 57 | 2021 |
| Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding? Y Hu, Q Huang, M Tao, C Zhang, Y Feng The Second Tiny Papers Track at ICLR 2024, 2024 | 23 | 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 the Association for Computational Linguistics: ACL 2023, 2023 | 19 | 2023 |
| Harder Tasks Need More Experts: Dynamic Routing in MoE Models Q Huang, Z An, N Zhuang, M Tao, C Zhang, Y Jin, K Xu, L Chen, S Huang, ... Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 14* | 2024 |
| A review of deep learning in question answering over knowledge bases C Zhang, Y Lai, Y Feng, D Zhao AI Open 2, 205-215, 2021 | 14 | 2021 |
| Teaching Large Language Models an Unseen Language on the Fly C Zhang, X Liu, J Lin, Y Feng Findings of the Association for Computational Linguistics ACL 2024, 2024 | 10 | 2024 |
| Unifee: Unified evidence extraction for fact verification N Hu, Z Wu, Y Lai, C Zhang, Y Feng Proceedings of the 17th Conference of the European Chapter of the …, 2023 | 10 | 2023 |
| Extract, Integrate, Compete: Towards Verification Style Reading Comprehension C Zhang, Y Lai, Y Feng, D Zhao Findings of the Association for Computational Linguistics: EMNLP 2021, 2021 | 9 | 2021 |
| Knowledge-enhanced iterative instruction generation and reasoning for knowledge base question answering H Du, Q Huang, C Zhang, D Zhao CCF International Conference on Natural Language Processing and Chinese …, 2022 | 8 | 2022 |
| MC2: Towards Transparent and Culturally-Aware NLP for Minority Languages in China C Zhang, M Tao, Q Huang, J Lin, Z Chen, Y Feng Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 7* | 2024 |
| 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 the Association for Computational Linguistics: ACL 2023, 2023 | 5 | 2023 |
| Unlocking the Potential of Model Merging for Low-Resource Languages M Tao*, C Zhang*, Q Huang*, T Ma, S Huang, D Zhao, Y Feng Findings of the Association for Computational Linguistics: EMNLP 2024, 2024 | 3 | 2024 |
| Relation-Aware Question Answering for Heterogeneous Knowledge Graphs H Du, Q Huang, C Li, C Zhang, Y Li, D Zhao Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | 2 | 2023 |
| Cross-Lingual Question Answering over Knowledge Base as Reading Comprehension C Zhang, Y Lai, Y Feng, X Shen, H Du, D Zhao Findings of the Association for Computational Linguistics: EACL 2023, 2023 | 2 | 2023 |
| 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 |
| Can LLMs Learn a New Language on the Fly? A Case Study on Zhuang C Zhang, M Tao, Q Huang, Z Chen, Y Feng The Second Tiny Papers Track at ICLR 2024, 2024 | | 2024 |
Yansong FengPeking Universityכתובת אימייל מאומתת בדומיין pku.edu.cn
