Yu Zhang

Orcid: 0000-0002-8345-3835

Affiliations:
  • Soochow University, China


According to our database1, Yu Zhang authored at least 15 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Gated Slot Attention for Efficient Linear-Time Sequence Modeling.
CoRR, 2024

Scalable MatMul-free Language Modeling.
CoRR, 2024

TPN: Transferable Proto-Learning Network towards Few-shot Document-Level Relation Extraction.
Proceedings of the International Joint Conference on Neural Networks, 2024

Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.
CoRR, 2023

Non-autoregressive Text Editing with Copy-aware Latent Alignments.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsing.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures inside Arguments.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Fast and Accurate Span-based Semantic Role Labeling as Graph Parsing.
CoRR, 2021

Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments.
CoRR, 2021

A Coarse-to-Fine Labeling Framework for Joint Word Segmentation, POS Tagging, and Constituent Parsing.
Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

2020
Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing?
Proceedings of the Natural Language Processing and Chinese Computing, 2020

Fast and Accurate Neural CRF Constituency Parsing.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Efficient Second-Order TreeCRF for Neural Dependency Parsing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
HLT@SUDA at SemEval-2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019


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