| 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 | 14 | 2023 |
| Improving Open-Ended Text Generation via Adaptive Decoding W Zhu, H Hao, Z He, Y Ai, R Wang ICML 2024, 2024 | 8 | 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 ICML 2024 Workshop on LLMs and Cognition, 0 | 8* | |
| Penalty Decoding: Well Suppress the Self-Reinforcement Effect in Open-Ended Text Generation W Zhu, H Hao, R Wang EMNLP 2023, 2023 | 2 | 2023 |
| Weak-to-Strong Preference Optimization: Stealing Reward from Weak Aligned Model W Zhu, Z He, X Wang, P Liu, R Wang ICLR 2025 (Spotlight), 2024 | 1 | 2024 |
| Do Large Language Models Truly Understand Geometric Structures? X Wang, Y Wang, W Zhu, R Wang ICLR 2025, 2025 | | 2025 |
Hongkun HaoShanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
