Chengjin Xu
Orcid: 0000-0002-4942-9049
According to our database1,
Chengjin Xu
authored at least 53 papers
between 2019 and 2024.
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Bibliography
2024
Retrieval, Reasoning, Re-ranking: A Context-Enriched Framework for Knowledge Graph Completion.
CoRR, 2024
Golden Touchstone: A Comprehensive Bilingual Benchmark for Evaluating Financial Large Language Models.
CoRR, 2024
RuleRAG: Rule-guided retrieval-augmented generation with language models for question answering.
CoRR, 2024
Context-aware Inductive Knowledge Graph Completion with Latent Type Constraints and Subgraph Reasoning.
CoRR, 2024
MLLM Is a Strong Reranker: Advancing Multimodal Retrieval-augmented Generation via Knowledge-enhanced Reranking and Noise-injected Training.
CoRR, 2024
Think-on-Graph 2.0: Deep and Interpretable Large Language Model Reasoning with Knowledge Graph-guided Retrieval.
CoRR, 2024
CoRR, 2024
Toward Practical Entity Alignment Method Design: Insights from New Highly Heterogeneous Knowledge Graph Datasets.
Proceedings of the ACM on Web Conference 2024, 2024
Ensuring Safe and High-Quality Outputs: A Guideline Library Approach for Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
MM-ChatAlign: A Novel Multimodal Reasoning Framework based on Large Language Models for Entity Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
Geometric Algebra Based Embeddings for Static and Temporal Knowledge Graph Completion.
IEEE Trans. Knowl. Data Eng., May, 2023
UniSKGRep: A unified representation learning framework of social network and knowledge graph.
Neural Networks, January, 2023
Think-on-Graph: Deep and Responsible Reasoning of Large Language Model with Knowledge Graph.
CoRR, 2023
Unveiling the Potential of Sentiment: Can Large Language Models Predict Chinese Stock Price Movements?
CoRR, 2023
Rethinking GNN-based Entity Alignment on Heterogeneous Knowledge Graphs: New Datasets and A New Method.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Incorporating Structured Sentences with Time-enhanced BERT for Fully-inductive Temporal Relation Prediction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Distinct Geometrical Representations for Temporal and Relational Structures in Knowledge Graphs.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Temporal Extrapolation and Knowledge Transfer for Lifelong Temporal Knowledge Graph Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Proceedings of the Database Systems for Advanced Applications, 2023
2022
Time-aware Graph Neural Networks for Entity Alignment between Temporal Knowledge Graphs.
CoRR, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
CoRR, 2021
Loss-Aware Pattern Inference: A Correction on the Wrongly Claimed Limitations of Embedding Models.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2021
Temporal Knowledge Graph Completion using a Linear Temporal Regularizer and Multivector Embeddings.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Time-aware Graph Neural Network for Entity Alignment between Temporal Knowledge Graphs.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
CoRR, 2020
Proceedings of the Semantic Web - ISWC 2020, 2020
Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020
Proceedings of the International Workshop on Knowledge Representation and Representation Learning co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
2019
Temporal Knowledge Graph Embedding Model based on Additive Time Series Decomposition.
CoRR, 2019
On the Knowledge Graph Completion Using Translation Based Embedding: The Loss Is as Important as the Score.
CoRR, 2019
CoRR, 2019