Privacy-Preserving Federated Embedding Learning for Localized Retrieval-Augmented Generation.
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CoRR, April, 2025
Harnessing Multiple Large Language Models: A Survey on LLM Ensemble.
CoRR, February, 2025
Lightweight Contenders: Navigating Semi-Supervised Text Mining through Peer Collaboration and Self Transcendence.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025
XRAG: eXamining the Core - Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation.
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CoRR, 2024
Variational Multi-Modal Hypergraph Attention Network for Multi-Modal Relation Extraction.
CoRR, 2024
FedCQA: Answering Complex Queries on Multi-Source Knowledge Graphs via Federated Learning.
CoRR, 2024
KnowFormer: Revisiting Transformers for Knowledge Graph Reasoning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Neural-Hidden-CRF: A Robust Weakly-Supervised Sequence Labeler.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Bipartite Graph Pre-training for Unsupervised Extractive Summarization with Graph Convolutional Auto-Encoders.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
LATENTLOGIC: Learning Logic Rules in Latent Space over Knowledge Graphs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
POINE<sup>2</sup>: Improving Poincaré Embeddings for Hierarchy-Aware Complex Query Reasoning over Knowledge Graphs.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023
Fact-Driven Abstractive Summarization by Utilizing Multi-Granular Multi-Relational Knowledge.
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Adaptive Pre-Training and Collaborative Fine-Tuning: A Win-Win Strategy to Improve Review Analysis Tasks.
IEEE ACM Trans. Audio Speech Lang. Process., 2022
Attend and select: A segment selective transformer for microblog hashtag generation.
Knowl. Based Syst., 2022
MuchSUM: Multi-channel Graph Neural Network for Extractive Summarization.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
HiGIL: Hierarchical Graph Inference Learning for Fact Checking.
Proceedings of the IEEE International Conference on Data Mining, 2022
Explicitly Modeling Importance and Coherence for Timeline Summarization.
Proceedings of the IEEE International Conference on Acoustics, 2022
Noise-injected Consistency Training and Entropy-constrained Pseudo Labeling for Semi-supervised Extractive Summarization.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Event prediction based on evolutionary event ontology knowledge.
Future Gener. Comput. Syst., 2021
Attend and Select: A Segment Attention based Selection Mechanism for Microblog Hashtag Generation.
CoRR, 2021
Automated Timeline Length Selection for Flexible Timeline Summarization.
CoRR, 2021
Multi-level Connection Enhanced Representation Learning for Script Event Prediction.
Proceedings of the WWW '21: The Web Conference 2021, 2021
Aspect-Based Sentiment Classification with Attentive Neural Turing Machines.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Path-Graph Fusion Based Community Detection over Heterogeneous Information Network.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018