Linhai Zhang
According to our database1,
Linhai Zhang
authored at least 24 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Fine-grainedly Synthesize Streaming Data Based On Large Language Models With Graph Structure Understanding For Data Sparsity.
CoRR, 2024
Causal Prompting: Debiasing Large Language Model Prompting based on Front-Door Adjustment.
CoRR, 2024
TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
STAR: Constraint LoRA with Dynamic Active Learning for Data-Efficient Fine-Tuning of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
DINER: Debiasing Aspect-based Sentiment Analysis with Multi-variable Causal Inference.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Sentiment Analysis on Streaming User Reviews via Dual-Channel Dynamic Graph Neural Network.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Multi-Relational Probabilistic Event Representation Learning via Projected Gaussian Embedding.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Pre-training and Fine-tuning Neural Topic Model: A Simple yet Effective Approach to Incorporating External Knowledge.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
A Novel Framework Based on Medical Concept Driven Attention for Explainable Medical Code Prediction via External Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022
2021
A Bayesian end-to-end model with estimated uncertainties for simple question answering over knowledge bases.
Comput. Speech Lang., 2021
A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
A Multi-label Multi-hop Relation Detection Model based on Relation-aware Sequence Generation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Beyond Text: Incorporating Metadata and Label Structure for Multi-Label Document Classification using Heterogeneous Graphs.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
J. Comput. Methods Sci. Eng., 2020
Particle flow code method-based seepage behavior analysis and control effect evaluation for soil levee.
Eng. Comput., 2020
Research on control strategy for ground extension and retraction test of landing gear.
Proceedings of the 5th International Conference on Automation, 2020