Zihan Qiu

Venues

Frequent coauthors

Papers

1. A Closer Look into Mixture-of-Experts in Large Language Models
   NAACL 2025 ·

   Ka Man Lo

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2. A Controllable Examination for Long-Context Language Models
   NeurIPS 2025 ·

   Yijun Yang

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3. Demons in the Detail: On Implementing Load Balancing Loss for Training Specialized Mixture-of-Expert Models
   ACL 2025 · Zihan Qiu
4. Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free
   NeurIPS 2025 · Zihan Qiu
5. Layerwise Recurrent Router for Mixture-of-Experts
   ICLR 2025 · Zihan Qiu
6. Neo-TKGC: Enhancing Temporal Knowledge Graph Completion with Integrated Node Weights and Future Information
   WSDM 2025 · Zihan Qiu
7. Post-hoc Reward Calibration: A Case Study on Length Bias
   ICLR 2025 ·

   Zeyu Huang

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8. Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark
   AAAI 2025 ·

   Yongliang Wu

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9. Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers
   ICLR 2024 · Zihan Qiu
10. HyperMoE: Towards Better Mixture of Experts via Transferring Among Experts
    ACL 2024 ·

    Hao Zhao

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11. Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training
    NeurIPS 2024 ·

    Wenyu Du

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12. Unlocking Continual Learning Abilities in Language Models
    EMNLP 2024 ·

    Wenyu Du

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13. Unlocking Emergent Modularity in Large Language Models
    NAACL 2024 · Zihan Qiu