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Peng Wang

Southeast University, School of Computer Science and Engineering, Nanjing, China

23 papers at tracked venues · 17 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0001-8782-857X ↗

Venues

ACL ×8AAAI ×7IJCAI ×6NeurIPS ×1WWW ×1

Frequent coauthors

Jiajun Liu
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Guozheng Li
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Ziyu Shang
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Zijie Xu
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Wenjun Ke
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Jing Zhou
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Chuanxin Zhang
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Hengyuan Xu
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Jianghan Liu
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Jiahao Wang
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Chenxiao Wu
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Ke Ji
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Papers

  1. Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts
    AAAI 2026 ·
    Jiajun Liu
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  2. Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models
    AAAI 2026 ·
    Zijie Xu
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  3. Capability Decomposition for Unified Information Extraction via Hierarchical Mixture-of-Experts
    ACL 2026 ·
    Jing Zhou
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  4. Exploring Layer Activation Dynamic of CoT via Knowledge Probe
    ACL 2026 ·
    Chuanxin Zhang
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  5. From Outcome to Process: Optimizing MoE Load Balancing with MCTS
    ACL 2026 ·
    Wenjun Ke
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  6. On the Role of Discriminative Models in Generative Relation Extraction
    ACL 2026 ·
    Guozheng Li
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  7. Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation
    AAAI 2026 ·
    Hengyuan Xu
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  8. Unlearning of Knowledge Graph Embedding via Preference Optimization
    WWW 2026 ·
    Jiajun Liu
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  9. Acquisition and Application of Novel Knowledge in Large Language Models
    ACL 2025 ·
    Ziyu Shang
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  10. LLM-Guided Semantic-Aware Clustering for Topic Modeling
    ACL 2025 ·
    Jianghan Liu
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  11. On the Consistency of Commonsense in Large Language Models
    ACL 2025 ·
    Guozheng Li
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  12. Boosting Textural NER with Synthetic Image and Instructive Alignment
    ACL 2024 ·
    Jiahao Wang
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  13. ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context
    AAAI 2024 ·
    Chenxiao Wu
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  14. Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification
    IJCAI 2024 ·
    Ke Ji
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  15. Fast and Continual Knowledge Graph Embedding via Incremental LoRA
    IJCAI 2024 ·
    Jiajun Liu
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  16. Incorporating Schema-Aware Description into Document-Level Event Extraction
    IJCAI 2024 ·
    Zijie Xu
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  17. Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning
    IJCAI 2024 ·
    Ziyu Shang
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  18. Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
    IJCAI 2024 ·
    Guozheng Li
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  19. OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning
    AAAI 2024 ·
    Ziyu Shang
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  20. Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction
    IJCAI 2024 ·
    Guozheng Li
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  21. Towards Continual Knowledge Graph Embedding via Incremental Distillation
    AAAI 2024 ·
    Jiajun Liu
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  22. Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype
    AAAI 2024 ·
    Yanhe Liu
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  23. Unveiling LoRA Intrinsic Ranks via Salience Analysis
    NeurIPS 2024 ·
    Wenjun Ke
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