Peiming Guo

According to our database, Peiming Guo authored at least 9 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CVeDRL: An Efficient Code Verifier via Difficulty-aware Reinforcement Learning.

Ji Shi, Peiming Guo, Meishan Zhang, Miao Zhang, Xuebo Liu, Min Zhang, Weili Guan

CoRR, January, 2026

2025

Improving LLM-based opinion expression identification with dependency syntax.

Qiujing Xu, Peiming Guo, Fei Li, Meishan Zhang, Donghong Ji

Pattern Recognit. Lett., 2025

An End-to-End Model for Photo-Sharing Multi-Modal Dialogue Generation.

Peiming Guo, Sinuo Liu, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Complex Open Information Extraction with Heterogeneous Syntax Forests.

Meishan Zhang, Peiming Guo, Hao Fei, Min Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Contrastive Learning on LLM Back Generation Treebank for Cross-domain Constituency Parsing.

Peiming Guo, Meishan Zhang, Jianling Li, Min Zhang, Yue Zhang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Cross-domain Constituency Parsing by Leveraging Heterogeneous Data.

Peiming Guo, Meishan Zhang, Yulong Chen, Jianling Li, Min Zhang, Yue Zhang

J. Artif. Intell. Res., 2024

2023

Fine-Grained Domain Adaptation for Chinese Syntactic Processing.

Meishan Zhang, Peiming Guo, Peijie Jiang, Dingkun Long, Yueheng Sun, Guangwei Xu, Pengjun Xie, Min Zhang

ACM Trans. Asian Low Resour. Lang. Inf. Process., November, 2023

Curriculum-Style Fine-Grained Adaption for Unsupervised Cross-Lingual Dependency Transfer.

Peiming Guo, Shen Huang, Peijie Jiang, Yueheng Sun, Meishan Zhang, Min Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2023

LLM-enhanced Self-training for Cross-domain Constituency Parsing.

Jianling Li, Meishan Zhang, Peiming Guo, Min Zhang, Yue Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023