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Zhengyu Chen

Westlake University, Hangzhou, China

16 papers at tracked venues · 12 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-9863-556X ↗Homepage ↗

Venues

ICLR ×4AAAI ×3EMNLP ×3ACL ×2WWW ×2CIKM ×1NeurIPS ×1

Frequent coauthors

Jinluan Yang
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Siqi Wang
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Zhengyu Hu
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Teng Xiao
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Yuxuan Si
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Zheqi Lv
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Chau Pham
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Xusheng Yang
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Papers

  1. From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling
    AAAI 2026 · Zhengyu Chen
  2. Mitigating Structural Knowledge Collapse in Domain-Specific LLMs via Morpheme-Aware KV-Aggregation
    ACL 2026 ·
    Yuxuan Si
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  3. Scaling and Transferability of Annealing Strategies in Large Language Model Training
    AAAI 2026 ·
    Siqi Wang
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  4. Explaining Length Bias in LLM-Based Preference Evaluations
    EMNLP 2025 ·
    Zhengyu Hu
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  5. Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts
    WWW 2025 ·
    Jinluan Yang
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  6. Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace
    ICLR 2025 ·
    Jinluan Yang
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  7. Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging
    NeurIPS 2025 ·
    Jinluan Yang
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  8. On a Connection Between Imitation Learning and RLHF
    ICLR 2025 ·
    Teng Xiao
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  9. Revisiting Scaling Laws for Language Models: The Role of Data Quality and Training Strategies
    ACL 2025 · Zhengyu Chen
  10. SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters
    ICLR 2025 ·
    Teng Xiao
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  11. Intelligent Model Update Strategy for Sequential Recommendation
    WWW 2024 ·
    Zheqi Lv
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  12. Learning to Reweight for Generalizable Graph Neural Network
    AAAI 2024 · Zhengyu Chen
  13. Let Models Speak Ciphers: Multiagent Debate through Embeddings
    ICLR 2024 ·
    Chau Pham
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  14. Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning
    EMNLP 2024 ·
    Zhengyu Hu
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  15. Robust Heterophily Graph Learning via Uniformity Augmentation
    CIKM 2024 ·
    Xusheng Yang
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  16. Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models
    EMNLP 2024 ·
    Siqi Wang
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