| Language models can improve event prediction by few-shot abductive reasoning X Shi, S Xue, K Wang, F Zhou, J Zhang, J Zhou, C Tan, H Mei Advances in Neural Information Processing Systems 36, 2024 | 36 | 2024 |
| Towards the difficulty for a deep neural network to learn concepts of different complexities D Liu, H Deng, X Cheng, Q Ren, K Wang, Q Zhang Advances in Neural Information Processing Systems 36, 41283-41304, 2023 | 13 | 2023 |
| Explicit planning helps language models in logical reasoning H Zhao, K Wang, M Yu, H Mei Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 13 | 2023 |
| Trap of feature diversity in the learning of mlps D Liu, S Wang, J Ren, K Wang, S Yin, H Deng, Q Zhang arXiv preprint arXiv:2112.00980, 2021 | 6 | 2021 |
| Embodied agent interface: Benchmarking llms for embodied decision making M Li, S Zhao, Q Wang, K Wang, Y Zhou, S Srivastava, C Gokmen, T Lee, ... arXiv preprint arXiv:2410.07166, 2024 | 4 | 2024 |
| MANGO: A Benchmark for Evaluating Mapping and Navigation Abilities of Large Language Models P Ding, J Fang, P Li, K Wang, X Zhou, M Yu, J Li, MR Walter, H Mei arXiv preprint arXiv:2403.19913, 2024 | 3 | 2024 |
Hongyuan MeiGoogle DeepMind, TTIC, JHU, UChicago在 google.com 的电子邮件经过验证
