| Logiqa: A challenge dataset for machine reading comprehension with logical reasoning J Liu, L Cui, H Liu, D Huang, Y Wang, Y Zhang IJCAI-20, 2020 | 153 | 2020 |
| Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4 H Liu, R Ning, Z Teng, J Liu, Q Zhou, Y Zhang arXiv preprint arXiv:2304.03439, 2023 | 144 | 2023 |
| Solving aspect category sentiment analysis as a text generation task J Liu, Z Teng, L Cui, H Liu, Y Zhang arXiv preprint arXiv:2110.07310, 2021 | 46 | 2021 |
| Glue-x: Evaluating natural language understanding models from an out-of-distribution generalization perspective L Yang, S Zhang, L Qin, Y Li, Y Wang, H Liu, J Wang, X Xie, Y Zhang arXiv preprint arXiv:2211.08073, 2022 | 42 | 2022 |
| Natural language inference in context-investigating contextual reasoning over long texts H Liu, L Cui, J Liu, Y Zhang Proceedings of the AAAI Conference on Artificial Intelligence 35 (15), 13388 …, 2021 | 30 | 2021 |
| 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, 2023 | 19 | 2023 |
| LogiCoT: Logical Chain-of-Thought Instruction-Tuning Data Collection with GPT-4 H Liu, Z Teng, L Cui, C Zhang, Q Zhou, Y Zhang EMNLP 2023 findings, 2023 | 4 | 2023 |
| LogiCoT: Logical Chain-of-Thought Instruction Tuning H Liu, Z Teng, L Cui, C Zhang, Q Zhou, Y Zhang The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 3 | 2023 |
| GLoRE: Evaluating Logical Reasoning of Large Language Models Z Teng, R Ning, J Liu, Q Zhou, Y Zhang arXiv preprint arXiv:2310.09107, 2023 | 1 | 2023 |
Yue ZhangWestlake UniversityEmail verificata su wias.org.cn
