| Do not think that much for 2+ 3=? on the overthinking of o1-like llms X Chen, J Xu, T Liang, Z He, J Pang, D Yu, L Song, Q Liu, M Zhou, ... arXiv preprint arXiv:2412.21187, 2024 | 298 | 2024 |
| Benchmarking llms via uncertainty quantification F Ye, M Yang, J Pang, L Wang, D Wong, E Yilmaz, S Shi, Z Tu Advances in Neural Information Processing Systems 37, 15356-15385, 2024 | 140 | 2024 |
| Fast supervised topic models for short text emotion detection J Pang, Y Rao, H Xie, X Wang, FL Wang, TL Wong, Q Li IEEE Transactions on Cybernetics 51 (2), 815-828, 2019 | 53 | 2019 |
| Salute the classic: Revisiting challenges of machine translation in the age of large language models J Pang, F Ye, DF Wong, D Yu, S Shi, Z Tu, L Wang Transactions of the Association for Computational Linguistics 13, 73-95, 2025 | 51 | 2025 |
| others. 2024. Do not think that much for 2+ 3=? on the overthinking of o1-like llms X Chen, J Xu, T Liang, Z He, J Pang, D Yu, L Song, Q Liu, M Zhou, ... arXiv preprint arXiv:2412.21187, 1 | 45 | 1 |
| Harnessing the reasoning economy: A survey of efficient reasoning for large language models R Wang, H Wang, B Xue, J Pang, S Liu, Y Chen, J Qiu, DF Wong, H Ji, ... arXiv preprint arXiv:2503.24377, 2025 | 30 | 2025 |
| Hybrid neural networks for social emotion detection over short text X Li, J Pang, B Mo, Y Rao 2016 International joint conference on neural networks (IJCNN), 537-544, 2016 | 26 | 2016 |
| Anchor-based large language models J Pang, F Ye, D Wong, X He, W Chen, L Wang Findings of the Association for Computational Linguistics: ACL 2024, 4958-4976, 2024 | 22 | 2024 |
| SBTM: topic modeling over short texts J Pang, X Li, H Xie, Y Rao International Conference on Database Systems for Advanced Applications, 43-56, 2016 | 19 | 2016 |
| Do NOT Think That Much for 2+ 3=? On the Overthinking of Long Reasoning Models X Chen, J Xu, T Liang, Z He, J Pang, D Yu, L Song, Q Liu, M Zhou, ... Forty-second International Conference on Machine Learning, 0 | 17 | |
| Supervised intensive topic models for emotion detection over short text Y Rao, J Pang, H Xie, A Liu, TL Wong, Q Li, FL Wang International Conference on Database Systems for Advanced Applications, 408-422, 2017 | 13 | 2017 |
| Rethinking the exploitation of monolingual data for low-resource neural machine translation J Pang, B Yang*, DF Wong*, Y Wan, D Liu, LS Chao, J Xie Computational Linguistics 50 (1), 25-47, 2024 | 10 | 2024 |
| Deep neural network for short-text sentiment classification X Li, J Pang, B Mo, Y Rao, FL Wang International Conference on Database Systems for Advanced Applications, 168-175, 2016 | 10 | 2016 |
| Dong Yu. Do not think that much for 2+ 3=? on the overthinking of o1-like llms X Chen, J Xu, T Liang, Z He, J Pang, D Yu, L Song, Q Liu, M Zhou, ... arXiv preprint arXiv:2412.21187, 2024 | 9 | 2024 |
| Benchmarking and improving long-text translation with large language models L Wang, Z Du, W Jiao, C Lyu, J Pang, L Cui, K Song, D Wong, S Shi, Z Tu Findings of the Association for Computational Linguistics ACL 2024, 7175-7187, 2024 | 8 | 2024 |
| Do NOT Think That Much for 2+ 3= X Chen, J Xu, T Liang, Z He, J Pang, D Yu, L Song, Q Liu, M Zhou, ... On the Overthinking of o1-Like LLMs, 2024 | 5 | 2024 |
| On extrapolation of long-text translation with large language models Z Du, W Jiao, L Wang, C Lyu, J Pang, L Cui, K Song, D Wong, S Shi, Z Tu | 5 | 2023 |
| Benchmarking llms via uncertainty quantification, 2024 F Ye, M Yang, J Pang, L Wang, DF Wong, E Yilmaz, S Shi, Z Tu URL https://arxiv. org/abs/2401.12794, 0 | 5 | |
| MoNMT: Modularly leveraging monolingual and bilingual knowledge for neural machine translation J Pang, B Yang, DF Wong, D Liu, X Wei, J Xie, LS Chao Proceedings of the 2024 Joint International Conference on Computational …, 2024 | 2 | 2024 |
Zhaopeng TuTech Lead @ Tencent Hunyuan Digital HumanVerified email at tencent.com
