| Encouraging divergent thinking in large language models through multi-agent debate T Liang, Z He, W Jiao, X Wang, Y Wang, R Wang, Y Yang, S Shi, Z Tu EMNLP 2024, 2023 | 290 | 2023 |
| Exploring human-like translation strategy with large language models Z He, T Liang, W Jiao, Z Zhang, Y Yang, R Wang, Z Tu, S Shi, X Wang Transactions of the Association for Computational Linguistics 12, 229-246, 2024 | 85 | 2024 |
| ParroT: Translating during chat using large language models tuned with human translation and feedback W Jiao, J Huang, W Wang, Z He, T Liang, X Wang, S Shi, Z Tu arXiv preprint arXiv:2304.02426, 2023 | 74 | 2023 |
| How Far Are We on the Decision-Making of LLMs? Evaluating LLMs' Gaming Ability in Multi-Agent Environments J Huang, EJ Li, MH Lam, T Liang, W Wang, Y Yuan, W Jiao, X Wang, Z Tu, ... arXiv preprint arXiv:2403.11807, 2024 | 36 | 2024 |
| CriticBench: Benchmarking LLMs for Critique-Correct Reasoning Z Lin, Z Gou, T Liang, R Luo, H Liu, Y Yang arXiv preprint arXiv:2402.14809, 2024 | 22 | 2024 |
| Refuse whenever you feel unsafe: Improving safety in llms via decoupled refusal training Y Yuan, W Jiao, W Wang, J Huang, J Xu, T Liang, P He, Z Tu arXiv preprint arXiv:2407.09121, 2024 | 8 | 2024 |
| Leveraging word guessing games to assess the intelligence of large language models T Liang, Z He, J Huang, W Wang, W Jiao, R Wang, Y Yang, Z Tu, S Shi, ... arXiv preprint arXiv:2310.20499, 2023 | 8 | 2023 |
| Critical Tokens Matter: Token-Level Contrastive Estimation Enhence LLM's Reasoning Capability Z Lin, T Liang, J Xu, X Wang, R Luo, C Shi, S Li, Y Yang, Z Tu arXiv preprint arXiv:2411.19943, 2024 | 3 | 2024 |
| Acronym Extraction with Hybrid Strategies. S Li, C Yang, T Liang, X Zhu, C Yu, Y Yang SDU@ AAAI, 2022 | 2 | 2022 |
| Multilingual acronym disambiguation with multichoice classification X Zhu, C Yu, S Li, T Liang, C Yang, Y Yang SDU@ AAAI-22, 2022 | 1 | 2022 |
| Teaching LLMs to Refine with Tools D Yu, Y Zhang, J Xu, T Liang, L Song, Z Tu, H Mi, D Yu arXiv preprint arXiv:2412.16871, 2024 | | 2024 |
| Draft Model Knows When to Stop: A Self-Verification Length Policy for Speculative Decoding Z Zhang, J Xu, T Liang, X Chen, Z He, R Wang, Z Tu arXiv preprint arXiv:2411.18462, 2024 | | 2024 |
| Addressing Entity Translation Problem via Translation Difficulty and Context Diversity T Liang, X Wang, M Yang, Y Yang, S Shi, Z Tu Findings of the Association for Computational Linguistics ACL 2024, 11628-11638, 2024 | | 2024 |
| RaSA: Rank-Sharing Low-Rank Adaptation Z He, Z Tu, X Wang, X Chen, Z Wang, J Xu, T Liang, W Jiao, Z Zhang, ... The Thirteenth International Conference on Learning Representations, 0 | | |
Zhaopeng TuPrincipal Researcher, Tencent AI LabGeverifieerd e-mailadres voor tencent.com