Ziniu Li - RankMe

61 papers A* 9A 1Journal 47Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Survey on Large Language Models for Mathematical Reasoning. ACM Comput. Surv. Peng-Yuan Wang, Tian-Shuo Liu, Chenyang Wang, Ziniu Li, Yidi Wang, Shu Yan, Chengxing Jia, Xu-Hui Liu, Xinwei Chen, Jiacheng Xu, Yang Yu
2026	J	`jnl`	Beyond Precision: Training-Inference Mismatch is an Optimization Problem and Simple LR Scheduling Fixes It. CoRR Yaxiang Zhang, Yingru Li, Jiacai Liu, Jiawei Xu, Ziniu Li, Qian Liu, Haoyuan Li
2026	J	`jnl`	Non-Adversarial Imitation Learning Provably Free of Compounding Errors: The Role of Bellman Constraints. CoRR Tian Xu, Chenyang Wang, Xiaochen Zhai, Ziniu Li, Yi-Chen Li, Yang Yu
2026	J	`jnl`	Off-Policy Value-Based Reinforcement Learning for Large Language Models. CoRR Peng-Yuan Wang, Ziniu Li, Tian Xu, Bohan Yang, Tian-Shuo Liu, Chenyang Wang, Xiong-Hui Chen, Yi-Chen Li, Tianyun Yang, Congliang Chen, Yang Yu
2026	J	`jnl`	Stepwise Guided Policy Optimization: Coloring Your Incorrect Reasoning in GRPO. Trans. Mach. Learn. Res. Peter Chen, Xiaopeng Li, Ziniu Li, Xi Chen, Tianyi Lin
2026	J	`jnl`	The Molecular Structure of Thought: Mapping the Topology of Long Chain-of-Thought Reasoning. CoRR Qiguang Chen, Yantao Du, Ziniu Li, Jinhao Liu, Songyao Duan, Jiarui Guo, Minghao Liu, Jiaheng Liu, Tong Yang, Ge Zhang, Libo Qin, Wanxiang Che, Wenhao Huang
2026	J	`jnl`	The Optimal Token Baseline: Variance Reduction for Long-Horizon LLM-RL. CoRR Yingru Li, Jiawei Xu, Ziniu Li, Jiacai Liu, Wei Liu, Yuxuan Tong, Longtao Zheng, Zhenghai Xue, Yaxiang Zhang, Tianle Cai, Ge Zhang, Qian Liu, Baoxiang Wang
2025	J	`jnl`	A Note on Hybrid Online Reinforcement and Imitation Learning for LLMs: Formulations and Algorithms. CoRR Yingru Li, Ziniu Li, Jiacai Liu
2025	J	`jnl`	A Survey on Large Language Models for Mathematical Reasoning. CoRR Peng-Yuan Wang, Tian-Shuo Liu, Chenyang Wang, Yi-Di Wang, Shu Yan, Cheng-Xing Jia, Xu-Hui Liu, Xin-Wei Chen, Jia-Cheng Xu, Ziniu Li, Yang Yu
2025	A*	`conf`	Adam-mini: Use Fewer Learning Rates To Gain More. ICLR Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Diederik P. Kingma, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun
2025	—	`conf`	Advancing Zero-shot Text-to-Speech Intelligibility across Diverse Domains via Preference Alignment. ACL (1) Xueyao Zhang, Yuancheng Wang, Chaoren Wang, Ziniu Li, Zhuo Chen, Zhizheng Wu
2025	J	`jnl`	Advancing Zero-shot Text-to-Speech Intelligibility across Diverse Domains via Preference Alignment. CoRR Xueyao Zhang, Yuancheng Wang, Chaoren Wang, Ziniu Li, Zhuo Chen, Zhizheng Wu
2025	J	`jnl`	Beyond Token-level Supervision: Unlocking the Potential of Decoding-based Regression via Reinforcement Learning. CoRR Ming Chen, Sheng Tang, Rong-Xi Tan, Ziniu Li, Jiacheng Chen, Ke Xue, Chao Qian
2025	J	`jnl`	Bridging Formal Language with Chain-of-Thought Reasoning to Geometry Problem Solving. CoRR Tianyun Yang, Yunwen Li, Ziniu Li, Zhihang Lin, Ruoyu Sun, Tian Ding
2025	J	`jnl`	CoRT: Code-integrated Reasoning within Thinking. CoRR Chengpeng Li, Zhengyang Tang, Ziniu Li, Mingfeng Xue, Keqin Bao, Tian Ding, Ruoyu Sun, Benyou Wang, Xiang Wang, Junyang Lin, Dayiheng Liu
2025	A*	`conf`	Controlling Large Language Model with Latent Action. ICML Chengxing Jia, Ziniu Li, Pengyuan Wang, Yi-Chen Li, Zhenyu Hou, Yuxiao Dong, Yang Yu
2025	J	`jnl`	Controlling Large Language Model with Latent Actions. CoRR Chengxing Jia, Ziniu Li, Pengyuan Wang, Yi-Chen Li, Zhenyu Hou, Yuxiao Dong, Yang Yu
2025	J	`jnl`	Enabling Scalable Oversight via Self-Evolving Critic. CoRR Zhengyang Tang, Ziniu Li, Zhenyang Xiao, Tian Ding, Ruoyu Sun, Benyou Wang, Dayiheng Liu, Fei Huang, Tianyu Liu, Bowen Yu, Junyang Lin
2025	J	`jnl`	Encyclo-K: Evaluating LLMs with Dynamically Composed Knowledge Statements. CoRR Yiming Liang, Yizhi Li, Yantao Du, Ge Zhang, Jiayi Zhou, Yuchen Wu, Yinzhu Piao, Denghui Cao, Tong Sun, Ziniu Li, Li Du, Bo Lei, Jiaheng Liu, Chenghua Lin, Zhaoxiang Zhang, Wenhao Huang, Jiajun Zhang
2025	J	`jnl`	Exploration vs Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward. CoRR Peter Chen, Xiaopeng Li, Ziniu Li, Wotao Yin, Xi Chen, Tianyi Lin
2025	J	`jnl`	Knapsack RL: Unlocking Exploration of LLMs via Optimizing Budget Allocation. CoRR Ziniu Li, Congliang Chen, Tianyun Yang, Tian Ding, Ruoyu Sun, Ge Zhang, Wenhao Huang, Zhi-Quan Luo
2025	J	`jnl`	ORGEval: Graph-Theoretic Evaluation of LLMs in Optimization Modeling. CoRR Zhuohan Wang, Ziwei Zhu, Ziniu Li, Congliang Chen, Yizhou Han, Yufeng Lin, Zhihang Lin, Angyang Gu, Xinglin Hu, Ruoyu Sun, Tian Ding
2025	A*	`conf`	Preserving Diversity in Supervised Fine-Tuning of Large Language Models. ICLR Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Zhi-Quan Luo, Ruoyu Sun
2025	J	`jnl`	Quality-Diversity Red-Teaming: Automated Generation of High-Quality and Diverse Attackers for Large Language Models. CoRR Ren-Jian Wang, Ke Xue, Zeyu Qin, Ziniu Li, Sheng Tang, Hao-Tian Li, Shengcai Liu, Chao Qian
2025	J	`jnl`	RealCritic: Towards Effectiveness-Driven Evaluation of Language Model Critiques. CoRR Zhengyang Tang, Ziniu Li, Zhenyang Xiao, Tian Ding, Ruoyu Sun, Benyou Wang, Dayiheng Liu, Fei Huang, Tianyu Liu, Bowen Yu, Junyang Lin
2025	J	`jnl`	Scaling Latent Reasoning via Looped Language Models. CoRR Rui-Jie Zhu, Zixuan Wang, Kai Hua, Tianyu Zhang, Ziniu Li, Haoran Que, Boyi Wei, Zixin Wen, Fan Yin, He Xing, Lu Li, Jiajun Shi, Kaijing Ma, Shanda Li, Taylor Kergan, Andrew Smith, Xingwei Qu, Mude Hui, Bohong Wu, Qiyang Min, Hongzhi Huang, Xun Zhou, Wei Ye, Jiaheng Liu, Jian Yang, Yunfeng Shi, Chenghua Lin, Enduo Zhao, Tianle Cai, Ge Zhang, Wenhao Huang, Yoshua Bengio, Jason Eshraghian
2025	J	`jnl`	Spectral Policy Optimization: Coloring your Incorrect Reasoning in GRPO. CoRR Peter Chen, Xiaopeng Li, Ziniu Li, Xi Chen, Tianyi Lin
2025	J	`jnl`	SpeechJudge: Towards Human-Level Judgment for Speech Naturalness. CoRR Xueyao Zhang, Chaoren Wang, Huan Liao, Ziniu Li, Yuancheng Wang, Li Wang, Dongya Jia, Yuanzhe Chen, Xiulin Li, Zhuo Chen, Zhizheng Wu
2025	J	`jnl`	Taming the Tail: Stable LLM Reinforcement Learning via Dynamic Vocabulary Pruning. CoRR Yingru Li, Jiawei Xu, Jiacai Liu, Yuxuan Tong, Ziniu Li, Tianle Cai, Ge Zhang, Qian Liu, Baoxiang Wang
2025	J	`jnl`	Teaching Language Models to Reason with Tools. CoRR Chengpeng Li, Zhengyang Tang, Ziniu Li, Mingfeng Xue, Keqin Bao, Tian Ding, Ruoyu Sun, Benyou Wang, Xiang Wang, Junyang Lin, Dayiheng Liu
2025	J	`jnl`	TreePO: Bridging the Gap of Policy Optimization and Efficacy and Inference Efficiency with Heuristic Tree-based Modeling. CoRR Yizhi Li, Qingshui Gu, Zhoufutu Wen, Ziniu Li, Tianshun Xing, Shuyue Guo, Tianyu Zheng, Xin Zhou, Xingwei Qu, Wangchunshu Zhou, Zheng Zhang, Wei Shen, Qian Liu, Chenghua Lin, Jian Yang, Ge Zhang, Wenhao Huang
2025	J	`jnl`	Trust Region Masking for Long-Horizon LLM Reinforcement Learning. CoRR Yingru Li, Jiacai Liu, Jiawei Xu, Yuxuan Tong, Ziniu Li, Baoxiang Wang
2025	A*	`conf`	Understanding and Mitigating Hallucination in Large Vision-Language Models via Modular Attribution and Intervention. ICLR Tianyun Yang, Ziniu Li, Juan Cao, Chang Xu
2024	J	`jnl`	Adam-mini: Use Fewer Learning Rates To Gain More. CoRR Yushun Zhang, Congliang Chen, Ziniu Li, Tian Ding, Chenwei Wu, Yinyu Ye, Zhi-Quan Luo, Ruoyu Sun
2024	J	`jnl`	BWArea Model: Learning World Model, Inverse Dynamics, and Policy for Controllable Language Generation. CoRR Chengxing Jia, Pengyuan Wang, Ziniu Li, Yi-Chen Li, Zhilong Zhang, Nan Tang, Yang Yu
2024	J	`jnl`	Entropic Distribution Matching in Supervised Fine-tuning of LLMs: Less Overfitting and Better Diversity. CoRR Ziniu Li, Congliang Chen, Tian Xu, Zeyu Qin, Jiancong Xiao, Ruoyu Sun, Zhi-Quan Luo
2024	J	`jnl`	On the Algorithmic Bias of Aligning Large Language Models with RLHF: Preference Collapse and Matching Regularization. CoRR Jiancong Xiao, Ziniu Li, Xingyu Xie, Emily J. Getzen, Cong Fang, Qi Long, Weijie J. Su
2024	A*	`conf`	ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. ICML Ziniu Li, Tian Xu, Yushun Zhang, Zhihang Lin, Yang Yu, Ruoyu Sun, Zhi-Quan Luo
2024	J	`jnl`	Sensing Jamming Strategy From Limited Observations: An Imitation Learning Perspective. IEEE Trans. Signal Process. Youlin Fan, Bo Jiu, Wenqiang Pu, Ziniu Li, Kang Li, Hongwei Liu
2024	—	`conf`	Unlocking Black-Box Prompt Tuning Efficiency via Zeroth-Order Optimization. EMNLP (Findings) Heshen Zhan, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun
2024	—	`conf`	When is RL better than DPO in RLHF? A Representation and Optimization Perspective. Tiny Papers @ ICLR Ziniu Li, Tian Xu, Yang Yu
2024	A*	`conf`	Why Transformers Need Adam: A Hessian Perspective. NeurIPS Yushun Zhang, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun, Zhi-Quan Luo
2024	J	`jnl`	Why Transformers Need Adam: A Hessian Perspective. CoRR Yushun Zhang, Congliang Chen, Tian Ding, Ziniu Li, Ruoyu Sun, Zhi-Quan Luo
2023	J	`jnl`	Deploying Offline Reinforcement Learning with Human Feedback. CoRR Ziniu Li, Ke Xu, Liu Liu, Lanqing Li, Deheng Ye, Peilin Zhao
2023	A*	`conf`	Imitation Learning from Imperfection: Theoretical Justifications and Algorithms. NeurIPS Ziniu Li, Tian Xu, Zeyu Qin, Yang Yu, Zhi-Quan Luo
2023	J	`jnl`	Policy Optimization in RLHF: The Impact of Out-of-preference Data. CoRR Ziniu Li, Tian Xu, Yang Yu
2023	A	`conf`	Provably Efficient Adversarial Imitation Learning with Unknown Transitions. UAI Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo
2023	J	`jnl`	Provably Efficient Adversarial Imitation Learning with Unknown Transitions. CoRR Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo
2023	J	`jnl`	ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method for Aligning Large Language Models. CoRR Ziniu Li, Tian Xu, Yushun Zhang, Yang Yu, Ruoyu Sun, Zhi-Quan Luo
2023	J	`jnl`	Theoretical Analysis of Offline Imitation With Supplementary Dataset. CoRR Ziniu Li, Tian Xu, Yang Yu, Zhi-Quan Luo
2022	J	`jnl`	A Note on Target Q-learning For Solving Finite MDPs with A Generative Oracle. CoRR Ziniu Li, Tian Xu, Yang Yu
2022	J	`jnl`	Error Bounds of Imitating Policies and Environments for Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. Tian Xu, Ziniu Li, Yang Yu
2022	A*	`conf`	HyperDQN: A Randomized Exploration Method for Deep Reinforcement Learning. ICLR Ziniu Li, Yingru Li, Yushun Zhang, Tong Zhang, Zhi-Quan Luo
2022	J	`jnl`	Rethinking ValueDice: Does It Really Improve Performance? CoRR Ziniu Li, Tian Xu, Yang Yu, Zhi-Quan Luo
2022	J	`jnl`	Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis. CoRR Tian Xu, Ziniu Li, Yang Yu, Zhi-Quan Luo
2021	J	`jnl`	Nearly Minimax Optimal Adversarial Imitation Learning with Known and Unknown Transitions. CoRR Tian Xu, Ziniu Li, Yang Yu
2020	—	`conf`	Efficient Exploration by Novelty-Pursuit. DAI Ziniu Li, Xiong-Hui Chen
2020	A*	`conf`	Error Bounds of Imitating Policies and Environments. NeurIPS Tian Xu, Ziniu Li, Yang Yu
2020	J	`jnl`	Error Bounds of Imitating Policies and Environments. CoRR Tian Xu, Ziniu Li, Yang Yu
2020	J	`jnl`	Solving the Inverse Design Problem of Electrical Fuse With Machine Learning. IEEE Access Xinjian Huang, Ziniu Li, Zhiyuan Liu, Bin Xiang, Yingsan Geng, Jianhua Wang
2019	J	`jnl`	On Value Discrepancy of Imitation Learning. CoRR Tian Xu, Ziniu Li, Yang Yu