| Language models meet world models: Embodied experiences enhance language models J Xiang, T Tao, Y Gu, T Shu, Z Wang, Z Yang, Z Hu Advances in neural information processing systems 36, 2024 | 58 | 2024 |
| Learning to stop: A simple yet effective approach to urban vision-language navigation J Xiang, XE Wang, WY Wang Findings of the Association for Computational Linguistics: EMNLP 2020, 2020 | 27 | 2020 |
| Assessing dialogue systems with distribution distances J Xiang, Y Liu, D Cai, H Li, D Lian, L Liu Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, 2021 | 20 | 2021 |
| ASDOT: Any-shot data-to-text generation with pretrained language models J Xiang, Z Liu, Y Zhou, EP Xing, Z Hu Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 | 15 | 2022 |
| Mmtom-qa: Multimodal theory of mind question answering C Jin, Y Wu, J Cao, J Xiang, YL Kuo, Z Hu, T Ullman, A Torralba, ... Association for Computational Linguistics: ACL 2024, 2024 | 9 | 2024 |
| Investigating data variance in evaluations of automatic machine translation metrics J Xiang, H Li, Y Liu, L Liu, G Huang, D Lian, S Shi Findings of the Association for Computational Linguistics: ACL 2022, 2022 | 4 | 2022 |
| Pandora: Towards General World Model with Natural Language Actions and Video States J Xiang, G Liu, Y Gu, Q Gao, Y Ning, Y Zha, Z Feng, T Tao, S Hao, Y Shi, ... arXiv preprint arXiv:2406.09455, 2024 | 2 | 2024 |
| Visualizing the relationship between encoded linguistic information and task performance J Xiang, H Li, D Lian, G Huang, T Watanabe, L Liu Findings of the Association for Computational Linguistics: ACL 2022, 2022 | 2 | 2022 |
| Not All Actions Are Equal: Learning to Stop in Language-Grounded Urban Navigation. J Xiang, X Wang, WY Wang ViGIL@ NeurIPS, 2019 | 2 | 2019 |
Zhiting HuAssistant Professor at UC San DiegoPatvirtintas el. paštas ucsd.edu
