| Raft: Reward ranked finetuning for generative foundation model alignment H Dong*, W Xiong*, D Goyal, Y Zhang, W Chow, R Pan, S Diao, J Zhang, ... TMLR & ICLR 2025 (Invited Presentation), 2023 | 648 | 2023 |
| Iterative preference learning from human feedback: Bridging theory and practice for rlhf under kl-constraint W Xiong*, H Dong*, C Ye*, Z Wang, H Zhong, H Ji, N Jiang, T Zhang ICML 2024, 2024 | 353* | 2024 |
| Rlhf workflow: From reward modeling to online rlhf H Dong*, W Xiong*, B Pang*, H Wang*, H Zhao, Y Zhou, N Jiang, ... TMLR, 2024 | 282 | 2024 |
| Mitigating the alignment tax of RLHF Y Lin, H Lin, W Xiong, S Diao, J Liu, J Zhang, R Pan, H Wang, W Hu, ... EMNLP 2024, 2024 | 225* | 2024 |
| Local augmentation for graph neural networks S Liu, R Ying, H Dong, L Li, T Xu, Y Rong, P Zhao, J Huang, D Wu ICML 2022, 14054-14072, 2022 | 170 | 2022 |
| Weakly supervised disentangled generative causal representation learning X Shen, F Liu, H Dong, Q Lian, Z Chen, T Zhang JMLR 23 (241), 1-55, 2022 | 170* | 2022 |
| DetGPT: Detect What You Need via Reasoning R Pi, J Gao, S Diao, R Pan, H Dong, J Zhang, L Yao, J Han, H Xu, ... EMNLP 2023, 14172–14189, 2023 | 153* | 2023 |
| MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance R Pi, T Han, Y Xie, R Pan, Q Lian, H Dong, J Zhang, T Zhang EMNLP 2024, 2024 | 125 | 2024 |
| Bayesian invariant risk minimization Y Lin*, H Dong*, H Wang, T Zhang CVPR 2022 (Oral), 16021-16030, 2022 | 117 | 2022 |
| Online iterative reinforcement learning from human feedback with general preference model C Ye*, W Xiong*, Y Zhang*, H Dong*, N Jiang, T Zhang NeurIPS 2024, 2024 | 86* | 2024 |
| A minimalist approach to llm reasoning: from rejection sampling to reinforce W Xiong, J Yao, Y Xu, B Pang, L Wang, D Sahoo, J Li, N Jiang, T Zhang, ... arXiv preprint arXiv:2504.11343, 2025 | 78 | 2025 |
| Lmflow: An extensible toolkit for finetuning and inference of large foundation models S Diao*, R Pan*, H Dong*, KS Shum, J Zhang, W Xiong, T Zhang NAACL 2024 (Best Demo Award), 2024 | 75 | 2024 |
| Reward-Guided Speculative Decoding for Efficient LLM Reasoning B Liao*, Y Xu*, H Dong*, J Li, C Monz, S Savarese, D Sahoo, C Xiong ICML 2025, 2025 | 51 | 2025 |
| Spurious feature diversification improves out-of-distribution generalization Y Lin, L Tan, Y Hao, H Wong, H Dong, W Zhang, Y Yang, T Zhang ICLR 2024, 2024 | 49 | 2024 |
| Reverse Diffusion Monte Carlo X Huang*, H Dong*, HAO Yifan, Y Ma, T Zhang ICLR 2024, 2024 | 49* | 2024 |
| Think: Thinner key cache by query-driven pruning Y Xu, Z Jie, H Dong, L Wang, X Lu, A Zhou, A Saha, C Xiong, D Sahoo ICLR 2025 (Spotlight), 2025 | 47 | 2025 |
| Mathematical models of overparameterized neural networks C Fang, H Dong, T Zhang Proceedings of the IEEE 109 (5), 683-703, 2021 | 46 | 2021 |
| Offline Reinforcement Learning for LLM Multi-Step Reasoning H Wang, S Hao, H Dong, S Zhang, Y Bao, Z Yang, Y Wu ACL 2025, 2025 | 41 | 2025 |
| Higher-order weighted graph convolutional networks S Liu, L Chen, H Dong, Z Wang, D Wu, Z Huang arXiv preprint arXiv:1911.04129, 2019 | 37 | 2019 |
| Vocabulary-informed Zero-shot and Open-set Learning Y Fu, X Wang, H Dong, YG Jiang, M Wang, X Xue, L Sigal IEEE TPAMI, 2019 | 31 | 2019 |
Tong ZhangUIUCVerified email at tongzhang-ml.org
