Jiacheng Ye

Orcid: 0000-0003-0073-4170

According to our database1, Jiacheng Ye authored at least 28 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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Bibliography

2024
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA.
CoRR, 2024

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models.
CoRR, 2024

2023
Validation of the Ocean Wave Spectrum from the Remote Sensing Data of the Chinese-French Oceanography Satellite.
Remote. Sens., August, 2023

G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model.
CoRR, 2023

Language Versatilists vs. Specialists: An Empirical Revisiting on Multilingual Transfer Ability.
CoRR, 2023

Compositional Exemplars for In-context Learning.
Proceedings of the International Conference on Machine Learning, 2023

Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Generating Data for Symbolic Language with Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

OpenICL: An Open-Source Framework for In-context Learning.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023

Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Uncertainty-Aware Sequence Labeling.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

Self-adaptive In-context Learning.
CoRR, 2022

ZeroGen<sup>+</sup>: Self-Guided High-Quality Data Generation in Efficient Zero-Shot Learning.
CoRR, 2022

ZeroGen: Efficient Zero-shot Learning via Dataset Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ProGen: Progressive Zero-shot Dataset Generation via In-context Feedback.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
CoRR, 2021

A Faster Maximum Cardinality Matching Algorithm with Applications in Machine Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Heterogeneous Graph Neural Networks for Keyphrase Generation.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Keyphrase Generation with Fine-Grained Evaluation-Guided Reinforcement Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Question answering algorithm based on deep learning.
Proceedings of the EITCE 2021: 5th International Conference on Electronic Information Technology and Computer Engineering, Xiamen, China, October 22, 2021

One2Set: Generating Diverse Keyphrases as a Set.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Design of a Mixed Reality Based System for Multimedia Content Presentation.
Proceedings of the 2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2020

Leveraging Document-Level Label Consistency for Named Entity Recognition.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Uncertainty-Aware Label Refinement for Sequence Labeling.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification with <i>K</i>-Means Features.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Constructing Multiple Tasks for Augmentation: Improving Neural Image Classification With K-means Features.
CoRR, 2019

Re-ID Driven Localization Refinement for Person Search.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019


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