Chengyue Jiang

According to our database1, Chengyue Jiang authored at least 15 papers between 2019 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

EcomGPT: Instruction-Tuning Large Language Models with Chain-of-Task Tasks for E-commerce.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding.
CoRR, 2023

EcomGPT: Instruction-tuning Large Language Models with Chain-of-Task Tasks for E-commerce.
CoRR, 2023

Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model.
CoRR, 2023

Using Interpretation Methods for Model Enhancement.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

COMBO: A Complete Benchmark for Open KG Canonicalization.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Do PLMs Know and Understand Ontological Knowledge?
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Neuralizing Regular Expressions for Slot Filling.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Learning Numeral Embeddings.
CoRR, 2020

Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learning Numeral Embedding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019
ShanghaiTech at MRP 2019: Sequence-to-Graph Transduction with Second-Order Edge Inference for Cross-Framework Meaning Representation Parsing.
Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning, 2019


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