Peichao Lai

According to our database, Peichao Lai authored at least 27 papers between 2022 and 2026.

Collaborative distances:

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

2026

Improving Low-Resource Short Answer Scoring Through Large Language Model-Based Data Augmentation.

Peichao Lai, Kexuan Zhang, Yilei Wang, Bin Cui

IEEE Trans. Knowl. Data Eng., May, 2026

AutoSci: A Memory-Centric Agentic System for the Full Scientific Research Lifecycle.

Weitong Qian, Beicheng Xu, Zhongao Xie, Bowen Fan, Guozheng Tang, Jiale Chen, Xinzhe Wu, Mingtian Yang, Chenyang Di, Jiajun Li, Lingching Tung, Peichao Lai, Yifei Xia, Ziyi Guo, Yanwei Xu, Yanzhao Qin, Shaoduo Gan, Xupeng Miao, Bin Cui

CoRR, May, 2026

One-Eval: An Agentic System for Automated and Traceable LLM Evaluation.

Chengyu Shen, Yanheng Hou, Minghui Pan, Runming He, Zhen Hao Wong, Meiyi Qiang, Zhou Liu, Hao Liang, Peichao Lai, Zeang Sheng, Wentao Zhang

CoRR, March, 2026

Entity injection with contrastive learning encoder for Chinese few-shot natural language inference.

Peichao Lai, Feiyang Ye, Yanggeng Fu, Ruiqing Wang, Yingjie Wu, Yilei Wang

Appl. Intell., February, 2026

SAS-bench: A fine-grained benchmark for evaluating short answer scoring with large language models.

Peichao Lai, Kexuan Zhang, Yi Lin, Linyihan Zhang, Feiyang Ye, Jinhao Yan, Yanwei Xu, Conghui He, Wentao Zhang, Yilei Wang, Bin Cui

Neural Networks, 2026

Quantum-inspired neural networks with stochastic dynamics for multimodal sentiment analysis and sarcasm detection.

Kehuan Yan, Peichao Lai, Xianghan Zheng, Yang Yang, Yi Ren, Tuyatsetseg Badarch, Yiwei Chen

Eng. Appl. Artif. Intell., 2026

Cluster-based prototypical contrastive learning for unsupervised sentence embedding.

Peichao Lai, Ruiqing Wang, Jiayong Li, Ruixiong Fang, Zhengfeng Zhang, Qingwei Lyu, Yilei Wang

Eng. Appl. Artif. Intell., 2026

2025

DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI.

Hao Liang, Xiaochen Ma, Zhou Liu, Zhen Hao Wong, Zhengyang Zhao, Zimo Meng, Runming He, Chengyu Shen, Qifeng Cai, Zhaoyang Han, Meiyi Qiang, Yalin Feng, Tianyi Bai, Zewei Pan, Ziyi Guo, Yizhen Jiang, Jingwen Deng, Qijie You, Peichao Lai, Tianyu Guo, Chi Hsu Tsai, Hengyi Feng, Rui Hu, Wenkai Yu, Junbo Niu, Bohan Zeng, Ruichuan An, Lu Ma, Jihao Huang, Yaowei Zheng, Conghui He, Linpeng Tang, Bin Cui, Weinan E, Wentao Zhang

CoRR, December, 2025

WebRenderBench: Enhancing Web Interface Generation through Layout-Style Consistency and Reinforcement Learning.

Peichao Lai, Jinhui Zhuang, Kexuan Zhang, Ningchang Xiong, Shengjie Wang, Yanwei Xu, Chong Chen, Yilei Wang, Bin Cui

CoRR, October, 2025

SAS_ADS.

Peichao Lai

Dataset, June, 2025

Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations.

Peichao Lai, Jiaxin Gan, Feiyang Ye, Yilei Wang, Bin Cui

CoRR, January, 2025

Quantum-inspired multimodal fusion with Lindblad master equation for sentiment analysis.

Kehuan Yan, Peichao Lai, Yang Yang, Yi Ren, Tuyatsetseg Badarch, Yiwei Chen, Xianghan Zheng

Neurocomputing, 2025

Span-based sliding window feature extraction and label knowledge for few-shot Named Entity Recognition.

Yilei Wang, Jiaxin Gan, Ruixiong Fang, Peichao Lai

Eng. Appl. Artif. Intell., 2025

FE-CFNER: Feature Enhancement-based approach for Chinese Few-shot Named Entity Recognition.

Sanhe Yang, Peichao Lai, Ruixiong Fang, Yanggeng Fu, Feiyang Ye, Yilei Wang

Comput. Speech Lang., 2025

ADSC: LLM-Augmented Dual-Stream Cooperative Learning for Robust Automated Essay Scoring.

Kexuan Zhang, Peichao Lai, Jikai Hu, Yilei Wang

Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations.

Peichao Lai, Jiaxin Gan, Feiyang Ye, Wentao Zhang, Fangcheng Fu, Yilei Wang, Bin Cui

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning.

Peichao Lai, Zhengfeng Zhang, Wentao Zhang, Fangcheng Fu, Bin Cui

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

2024

M-Sim: Multi-level Semantic Inference Model for Chinese short answer scoring in low-resource scenarios.

Peichao Lai, Feiyang Ye, Yanggeng Fu, Zhiwei Chen, Yingjie Wu, Yilei Wang

Comput. Speech Lang., March, 2024

CogNLG: Cognitive graph for KG-to-text generation.

Peichao Lai, Feiyang Ye, Yanggeng Fu, Zhiwei Chen, Yingjie Wu, Yilei Wang, Victor Chang

Expert Syst. J. Knowl. Eng., January, 2024

Knowledge-Based Domain-Oriented Data Augmentation for Enhancing Unsupervised Sentence Embedding.

Peichao Lai, Zhengfeng Zhang, Bin Cui

CoRR, 2024

Span-Based Chinese Few-Shot NER with Contrastive and Prompt Learning.

Feiyang Ye, Peichao Lai, Sanhe Yang, Zhengfeng Zhang, Yilei Wang

Proceedings of the Natural Language Processing and Chinese Computing, 2024

Quantum-inspired Language Model with Lindblad Master Equation and Interference Measurement for Sentiment Analysis.

Kehuan Yan, Peichao Lai, Yilei Wang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

NCSE: Neighbor Contrastive Learning for Unsupervised Sentence Embeddings.

Zhengfeng Zhang, Peichao Lai, Ruiqing Wang, Feiyang Ye, Yilei Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

Quantum-inspired Neural Network Based on Stochastic Liouville-von Neumann Equation for Sentiment Classification.

Kehuan Yan, Peichao Lai, Qingwei Lyu, Yilei Wang

Proceedings of the International Joint Conference on Neural Networks, 2024

2022

Chinese Medical Named Entity Recognition Using External Knowledge.

Lin Zhang, Peichao Lai, Feiyang Ye, Ruixiong Fang, Ruiqing Wang, Jiayong Li, Yilei Wang

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Intelligent Experimental Teaching Auxiliary Platform Based on BERT.

Wanling Liu, Yilei Wang, Yanggeng Fu, Fuling Ye, Peichao Lai

Proceedings of the Computer Science and Education - 17th International Conference, 2022

PCBERT: Parent and Child BERT for Chinese Few-shot NER.

Peichao Lai, Feiyang Ye, Lin Zhang, Zhiwei Chen, Yanggeng Fu, Yingjie Wu, Yilei Wang

Proceedings of the 29th International Conference on Computational Linguistics, 2022