Xu Zhang

According to our database, Xu Zhang authored at least 12 papers between 2022 and 2026.

Collaborative distances:

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

2026

BiT-MCTS: A Theme-based Bidirectional MCTS Approach to Chinese Fiction Generation.

Zhaoyi Li, Xu Zhang, Xiaojun Wan

CoRR, March, 2026

RST-Guarder: Enhancing Long-Context Robustness for Safeguards via RST Parsing and Probabilistic Inference.

Xu Zhang, Xiaojun Wan

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

2025

HAD: HAllucination Detection Language Models Based on a Comprehensive Hallucination Taxonomy.

Fan Xu, Xinyu Hu, Zhenghan Yu, Li Lin, Xu Zhang, Yang Zhang, Wei Zhou, Jinjie Gu, Xiaojun Wan

CoRR, October, 2025

DAMON: A Dialogue-Aware MCTS Framework for Jailbreaking Large Language Models.

Xu Zhang, Xunjian Yin, Dinghao Jing, Huixuan Zhang, Xinyu Hu, Xiaojun Wan

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

C-FAITH: A Chinese Fine-Grained Benchmark for Automated Hallucination Evaluation.

Xu Zhang, Zhifei Liu, Jiahao Wang, Huixuan Zhang, Fan Xu, Junzhe Zhang, Xiaojun Wan

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency.

Junzhe Zhang, Huixuan Zhang, Xunjian Yin, Baizhou Huang, Xu Zhang, Xinyu Hu, Xiaojun Wan

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

2024

ContraSolver: Self-Alignment of Language Models by Resolving Internal Preference Contradictions.

Xu Zhang, Xunjian Yin, Xiaojun Wan

CoRR, 2024

DPP-Based Adversarial Prompt Searching for Lanugage Models.

Xu Zhang, Xiaojun Wan

CoRR, 2024

Benchmarking Knowledge Boundary for Large Language Model: A Different Perspective on Model Evaluation.

Xunjian Yin, Xu Zhang, Jie Ruan, Xiaojun Wan

CoRR, 2024

Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation.

Xunjian Yin, Xu Zhang, Jie Ruan, Xiaojun Wan

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

2023

MIL-Decoding: Detoxifying Language Models at Token-Level via Multiple Instance Learning.

Xu Zhang, Xiaojun Wan

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

2022

An Empirical Study of Automatic Post-Editing.

Xu Zhang, Xiaojun Wan

CoRR, 2022