| 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 | 310 | 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 TACL 2024, 2023 | 93 | 2023 |
| 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 EMNLP 2023 Findings, 2023 | 80 | 2023 |
| R-Judge: Benchmarking Safety Risk Awareness for LLM Agents T Yuan, Z He, L Dong, Y Wang, R Zhao, T Xia, L Xu, B Zhou, F Li, Z Zhang, ... LLMAgents @ ICLR 2024, 2024 | 59 | 2024 |
| Igniting Language Intelligence: The Hitchhiker's Guide From Chain-of-Thought Reasoning to Language Agents Z Zhang, Y Yao, A Zhang, X Tang, X Ma, Z He, Y Wang, M Gerstein, ... ACM Computing Surveys, 2023 | 46 | 2023 |
| Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation Z He, X Wang, R Wang, S Shi, Z Tu ACL 2022, 2022 | 24 | 2022 |
| Can Watermarks Survive Translation? On the Cross-lingual Consistency of Text Watermark for Large Language Models Z He, B Zhou, H Hao, A Liu, X Wang, Z Tu, Z Zhang, R Wang ACL 2024, 2024 | 19 | 2024 |
| MarkLLM: An Open-Source Toolkit for LLM Watermarking L Pan, A Liu, Z He, Z Gao, X Zhao, Y Lu, B Zhou, S Liu, X Hu, L Wen, ... Demo Track @ EMNLP 2024, 2024 | 17 | 2024 |
| Improving machine translation with human feedback: An exploration of quality estimation as a reward model Z He, X Wang, W Jiao, Z Zhang, R Wang, S Shi, Z Tu NAACL 2024, 2024 | 17* | 2024 |
| CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models W Zhu, H Hao, Z He, Y Song, Y Zhang, H Hu, Y Wei, R Wang, H Lu NAACL 2024 Findings, 2023 | 15 | 2023 |
| Tencent ai lab-shanghai jiao tong university low-resource translation system for the wmt22 translation task Z He, X Wang, Z Tu, S Shi, R Wang WMT 2022, 2022 | 13 | 2022 |
| Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method T Xia, Z He, T Ren, Y Miao, Z Zhang, Y Yang, R Wang ACL 2024 Findings, 2024 | 11 | 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, 2024 | 10 | 2024 |
| Is Self-knowledge and Action Consistent or Not: Investigating Large Language Model's Personality Y Ai, Z He, Z Zhang, W Zhu, H Hao, K Yu, L Chen, R Wang LLMs and Cognition @ ICML 2024, 0 | 10* | |
| 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 | 9 | 2023 |
| Improving Open-Ended Text Generation via Adaptive Decoding W Zhu, H Hao, Z He, Y Ai, R Wang ICML 2024, 2024 | 8 | 2024 |
| Discrete limited attentional collaborative filtering for fast social recommendation Z Hu, X Zhou, Z He, Z Yang, J Chen, J Huang EAAI 2023, 2023 | 4 | 2023 |
| Zeno gpt machine translation report G Neubig, Z He Tech Report, 2023 | 3 | 2023 |
| Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model W Zhu, Z He, X Wang, P Liu, R Wang ICLR 2025, 2024 | 2 | 2024 |
| Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs Y Wang, Q Liu, J Xu, T Liang, X Chen, Z He, L Song, D Yu, J Li, Z Zhang, ... arXiv preprint arXiv:2501.18585, 2025 | 1 | 2025 |
Zhaopeng TuPrincipal Researcher, Tencent AI LabVerificeret mail på tencent.com