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Zhuang, Yihong

  1. Reinforcement Learning with Rubric Anchors
    2025/08/18 by Zenan Huang, Huang, Zenan, Yihong Zhuang +36 · 20 citations
    Engineering · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Gear and Bearing Dynamics Analysis #Machine Learning (cs.LG) #Robotic Mechanisms and Dynamics
  2. LLaDA-MoE: A Sparse MoE Diffusion Language Model
    2025/09/29 by Fengqi Zhu, Zhu, Fengqi, Zebin You +50 · 1 voice · 9 citations
    Computer Science · #Service-Oriented Architecture and Web Services #Semantic Web and Ontologies #Natural Language Processing Techniques
  3. ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems
    2025/07/07 by Yiming Zhang, Yun Ma, Zhang, Yiming +21 · 7 citations
    Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Text Readability and Simplification #Topic Modeling
  4. Knowledge Condensation Distillation
    2022/07/12 by Chenxin Li, Mingbao Lin, Li, Chenxin +13 · 1 citation
    Computer Science · #Machine Learning and ELM #Neural Networks and Applications #Advanced Neural Network Applications
  5. dInfer: An Efficient Inference Framework for Diffusion Language Models
    2025/10/09 by Ma, Yuxin, Du, Lun, Wei, Lanning +20 · 9 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  6. Grove MoE: Towards Efficient and Superior MoE LLMs with Adjugate Experts
    2025/08/11 by Heng Wu, Wu, Haoyuan, Chen, Haoxing +22 · 4 citations
    Computer Science · #Topic Modeling #Mobile Crowdsensing and Crowdsourcing #Multimodal Machine Learning Applications
  7. LLaDA2.0: Scaling Up Diffusion Language Models to 100B
    2025/12/10 by Tiwei Bie, Bie, Tiwei, Kun Chen +57 · 4 citations
    Computer Science · #Speech Recognition and Synthesis #Topic Modeling #Natural Language Processing Techniques