Jiajun Liu

Orcid: 0000-0002-7871-0518

Affiliations:
  • Southeast University, Nanjing, Jiangsu, China


According to our database1, Jiajun Liu authored at least 28 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
LogicICL: Towards Instructive Logical-Aware Demonstrations for Stimulating LLMs Mathematical Reasoning Ability.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2026

Towards evidence-aware retrieval-augmented generation via self-corrective chain-of-thought.
Inf. Process. Manag., 2026

Unlearning of Knowledge Graph Embedding via Preference Optimization.
Proceedings of the ACM Web Conference 2026, 2026

Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning.
IEEE Trans. Knowl. Data Eng., September, 2025

Exploring Meta Evidence for Prompt Optimization.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Acquisition and Application of Novel Knowledge in Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

LLM-Guided Semantic-Aware Clustering for Topic Modeling.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

On the Consistency of Commonsense in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Unveiling LoRA Intrinsic Ranks via Salience Analysis.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Fast and Continual Knowledge Graph Embedding via Incremental LoRA.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Empirical Analysis of Dialogue Relation Extraction with Large Language Models.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Incorporating Schema-Aware Description into Document-Level Event Extraction.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Balanced Knowledge Distillation with Open-Domain Unlabeled Data for Named Entity Recognition.
Proceedings of the Advanced Data Mining and Applications - 20th International Conference, 2024

Boosting Textural NER with Synthetic Image and Instructive Alignment.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

OntoFact: Unveiling Fantastic Fact-Skeleton of LLMs via Ontology-Driven Reinforcement Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Towards Continual Knowledge Graph Embedding via Incremental Distillation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
ASKRL: An Aligned-Spatial Knowledge Representation Learning Framework for Open-World Knowledge Graph.
Proceedings of the Semantic Web - ISWC 2023, 2023

A Two-Stage Label Rectification Framework for Noisy Event Extraction.
Proceedings of the Database Systems for Advanced Applications, 2023

IterDE: An Iterative Knowledge Distillation Framework for Knowledge Graph Embeddings.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021
Lily results for OAEI 2021.
Proceedings of the 16th International Workshop on Ontology Matching co-located with the 20th International Semantic Web Conference (ISWC 2021), 2021


  Loading...