Licheng Zhang

According to our database, Licheng Zhang authored at least 20 papers between 2020 and 2026.

Collaborative distances:

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

2026

WildGraphBench: Benchmarking GraphRAG with Wild-Source Corpora.

Pengyu Wang, Benfeng Xu, Licheng Zhang, Shaohan Wang, Mingxuan Du, Chiwei Zhu, Zhendong Mao

CoRR, February, 2026

Wiki Live Challenge: Challenging Deep Research Agents with Expert-Level Wikipedia Articles.

Shaohan Wang, Benfeng Xu, Licheng Zhang, Mingxuan Du, Chiwei Zhu, Xiaorui Wang, Zhendong Mao, Yongdong Zhang

CoRR, February, 2026

LAFaCT: Attribution-based Localization and Focused Sequential Analysis of Fact-Critical Tokens for Hallucination Detection.

Xin Wang, Jiahao Li, Licheng Zhang, Zhendong Mao

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations.

Yixing Peng, Licheng Zhang, Shancheng Fang, Yi Liu, Peijian Gu, Quan Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

CL-RAG: Bridging the Gap in Retrieval-Augmented Generation with Curriculum Learning.

Shaohan Wang, Licheng Zhang, Zheren Fu, Zhendong Mao

CoRR, May, 2025

Multi-Prototype Grouping for Continual Learning in Visual Question Answering.

Licheng Zhang, Zhendong Mao, Yixing Peng, Zheren Fu, Yongdong Zhang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

CMI-AIGCX at GenAI Detection Task 2: Leveraging Multilingual Proxy LLMs for Machine-Generated Text Detection in Academic Essays.

Kaijie Jiao, Xingyu Yao, Shixuan Ma, Sifan Fang, Zikang Guo, Benfeng Xu, Licheng Zhang, Quan Wang, Yongdong Zhang, Zhendong Mao

Proceedings of the 31st International Conference on Computational Linguistics, 2025

M-RangeDetector: Enhancing Generalization in Machine-Generated Text Detection through Multi-Range Attention Masks.

Kaijie Jiao, Quan Wang, Licheng Zhang, Zikang Guo, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Curriculum Learning Driven Domain Adaptation for Low-Resource Machine Reading Comprehension.

Licheng Zhang, Quan Wang, Benfeng Xu, Yi Liu, Zhendong Mao

IEEE Signal Process. Lett., 2024

USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings.

Zikang Guo, Kaijie Jiao, Xingyu Yao, Yuning Wan, Haoran Li, Benfeng Xu, Licheng Zhang, Quan Wang, Yongdong Zhang, Zhendong Mao

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Neighborhood-Adaptive Context Enhancement Learning For Scene Graph Generation.

Bowen Zhao, Licheng Zhang, Lei Zhang, Zhendong Mao

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

IDEATE: Detecting AI-Generated Text Using Internal and External Factual Structures.

Quan Wang, Licheng Zhang, Zikang Guo, Zhendong Mao

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Knowledge Context Modeling with Pre-trained Language Models for Contrastive Knowledge Graph Completion.

Guangqian Yang, Yi Liu, Lei Zhang, Licheng Zhang, Hongtao Xie, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Chain-of-Question: A Progressive Question Decomposition Approach for Complex Knowledge Base Question Answering.

Yixing Peng, Quan Wang, Licheng Zhang, Yi Liu, Zhendong Mao

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Feature-Adaptive and Data-Scalable In-Context Learning.

Jiahao Li, Quan Wang, Licheng Zhang, Guoqing Jin, Zhendong Mao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Disentangled Learning with Synthetic Parallel Data for Text Style Transfer.

Jingxuan Han, Quan Wang, Zikang Guo, Benfeng Xu, Licheng Zhang, Zhendong Mao

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation.

Jiaang Li, Quan Wang, Yi Liu, Licheng Zhang, Zhendong Mao

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

Text Style Transfer with Contrastive Transfer Pattern Mining.

Jingxuan Han, Quan Wang, Licheng Zhang, Weidong Chen, Yan Song, Zhendong Mao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

Review and Arrange: Curriculum Learning for Natural Language Understanding.

Licheng Zhang, Zhendong Mao, Benfeng Xu, Quan Wang, Yongdong Zhang

IEEE ACM Trans. Audio Speech Lang. Process., 2021

2020

Curriculum Learning for Natural Language Understanding.

Benfeng Xu, Licheng Zhang, Zhendong Mao, Quan Wang, Hongtao Xie, Yongdong Zhang

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020