Haoming Jiang

1. Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond
   2023/04/26 by Jingfeng Yang, Hongye Jin, Yang, Jingfeng +13 · 5 voices · 43 citations
   Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Topic Modeling #cs.AI #cs.CL #cs.LG
2. On the Variance of the Adaptive Learning Rate and Beyond
   2019/08/08 by Liyuan Liu, Haoming Jiang, Liu, Liyuan +11 · 71 citations
   Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques
3. Transformer Hawkes Process
   2020/02/21 by Simiao Zuo, Zuo, Simiao, Haoming Jiang +7 · 14 citations
   Biochemistry, Genetics and Molecular Biology · Mathematics · #Diffusion and Search Dynamics #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Morphological variations and asymmetry #Point processes and geometric inequalities
4. OpenAI GPT-5 System Card
   2025/12/19 by Aaditya Singh, Adam Fry, Adam Perelman +483 · 2 voices · 36 citations
   #cs.CL #cs.AI
5. Nonparametric Regression on Low-Dimensional Manifolds using Deep ReLU\n Networks : Function Approximation and Statistical Recovery
   2019/08/05 by Minshuo Chen, Haoming Jiang, Chen, Minshuo +5 · 4 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural Networks and Applications #Statistical Methods and Inference
6. Robust Reinforcement Learning from Corrupted Human Feedback
   2024/06/21 by Alexander Bukharin, Bukharin, Alexander, Ilgee Hong +10 · 6 citations
   Computer Science · #Neural Networks and Applications
7. Inductive or Deductive? Rethinking the Fundamental Reasoning Abilities of LLMs
   2024/07/31 by Kewei Cheng, Jingfeng Yang, Cheng, Kewei +21 · 3 voices · 5 citations
   #cs.AI
8. Adaptive Preference Scaling for Reinforcement Learning with Human Feedback
   2024/06/04 by Ilgee Hong, Zichong Li, Hong, Ilgee +11 · 4 citations
   Computer Science · #Evolutionary Algorithms and Applications #Reinforcement Learning in Robotics
9. On Scalable and Efficient Computation of Large Scale Optimal Transport
   2019/05/01 by Yujia Xie, Xie, Yujia, Minshuo Chen +7 · 2 citations
   Computer Science · Physics and Astronomy · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks #Stochastic Gradient Optimization Techniques
10. Learning to Defend by Learning to Attack
    2018/11/03 by Haoming Jiang, Jiang, Haoming, Zhehui Chen +7 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
11. Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach
    2021/04/11 by Simiao Zuo, Liang Chen, Zuo, Simiao +13 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
12. Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization
    2021/05/25 by Liang Chen, Liang, Chen, Simiao Zuo +13 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
13. SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models
    2022/05/15 by Jingfeng Yang, Haoming Jiang, Yang, Jingfeng +8 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
14. Think-RM: Enabling Long-Horizon Reasoning in Generative Reward Models
    2025/05/22 by Ilgee Hong, Hong, Ilgee, Changlong Yu +19 · 4 citations
    Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications #Topic Modeling
15. RNR: Teaching Large Language Models to Follow Roles and Rules
    2024/09/10 by Kuan Wang, Wang, Kuan, Alexander Bukharin +20 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Natural Language Processing Techniques #Topic Modeling