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Jiajun Liu

Southeast University, Nanjing, Jiangsu, China

22 papers at tracked venues · 15 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

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