| 🧜 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, 1-46, 2025 | 1802 | 2025 |
| LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning J Liu, L Cui, H Liu, D Huang, Y Wang, Y Zhang IJCAI 2020, 2020 | 514 | 2020 |
| Template-based named entity recognition using BART L Cui, Y Wu, J Liu, S Yang, Y Zhang ACL findings 2021, 2021 | 498 | 2021 |
| Evaluating commonsense in pre-trained language models X Zhou, Y Zhang, L Cui, D Huang Proceedings of the AAAI conference on artificial intelligence 34 (05), 9733-9740, 2020 | 243 | 2020 |
| Mage: Machine-generated text detection in the wild Y Li, Q Li, L Cui, W Bi, Z Wang, L Wang, L Yang, S Shi, Y Zhang Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 211* | 2024 |
| MuTual: A Dataset for Multi-Turn Dialogue Reasoning L Cui, Y Wu, S Liu, Y Zhang, M Zhou ACL 2020, 2020 | 179 | 2020 |
| Hierarchically-Refined Label Attention Network for Sequence Labeling L Cui, Y Zhang EMNLP 2019, 2019 | 156 | 2019 |
| GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers Q Li, L Cui, X Zhao, L Kong, W Bi ACL 2024, 2024 | 141* | 2024 |
| What Have We Achieved on Text Summarization? D Huang, L Cui, S Yang, G Bao, K Wang, J Xie, Y Zhang EMNLP 2020, 2020 | 129 | 2020 |
| Logiqa 2.0—an improved dataset for logical reasoning in natural language understanding H Liu, J Liu, L Cui, Z Teng, N Duan, M Zhou, Y Zhang IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 2947-2962, 2023 | 103 | 2023 |
| Solving Aspect Category Sentiment Analysis as a Text Generation Task J Liu, Z Teng, L Cui, H Liu, Y Zhang EMNLP 2021, 2021 | 101 | 2021 |
| Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal J Huang, L Cui, A Wang, C Yang, X Liao, L Song, J Yao, J Su ACL 2024, 2024 | 89 | 2024 |
| Alleviating hallucinations of large language models through induced hallucinations Y Zhang, L Cui, S Shi Findings of the Association for Computational Linguistics: NAACL 2025, 8218-8232, 2025 | 85 | 2025 |
| Logicot: Logical chain-of-thought instruction-tuning H Liu, Z Teng, L Cui, C Zhang, Q Zhou, Y Zhang arXiv preprint arXiv:2305.12147, 2023 | 74 | 2023 |
| Natural Language Inference in Context--Investigating Contextual Reasoning over Long Texts H Liu, L Cui, J Liu, Y Zhang AAAI 2020, 2020 | 64 | 2020 |
| Siren’s song in the AI ocean: a survey on hallucination in large language models. arXiv Y Zhang, Y Li, L Cui, D Cai, L Liu, T Fu, X Huang, E Zhao, Y Zhang, ... arXiv preprint arXiv:2309.01219, 2023 | 56 | 2023 |
| Multi-task instruction tuning of llama for specific scenarios: A preliminary study on writing assistance Y Zhang, L Cui, D Cai, X Huang, T Fang, W Bi arXiv preprint arXiv:2305.13225, 2023 | 55 | 2023 |
| Gated slot attention for efficient linear-time sequence modeling Y Zhang, S Yang, RJ Zhu, Y Zhang, L Cui, Y Wang, B Wang, F Shi, ... Advances in Neural Information Processing Systems 37, 116870-116898, 2024 | 53* | 2024 |
| Does bert solve commonsense task via commonsense knowledge L Cui, S Cheng, Y Wu, Y Zhang ACL findings 2021, 2020 | 46* | 2020 |
| Effidit: An assistant for improving writing efficiency S Shi, E Zhao, W Bi, D Cai, L Cui, X Huang, H Jiang, D Tang, K Song, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 45* | 2023 |
Yue ZhangWestlake UniversityVerified email at wias.org.cn
