Chengzhengxu Li

According to our database, Chengzhengxu Li authored at least 17 papers between 2023 and 2026.

Collaborative distances:

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

2026

Thinking as Compression: Your Reasoning Model is Secretly a Context Compressor.

Guoxin Ma, Yibing Liu, Chengzhengxu Li, Yu Liang, Yan Wang, Yueyang Zhang, Kecheng Chen, Zhaoxiang Zhang, Zhiyuan Sun, Daiting Shi

CoRR, May, 2026

MGTEVAL: An Interactive Platform for Systemtic Evaluation of Machine-Generated Text Detectors.

Yuanfan Li, Qi Zhou, Chengzhengxu Li, Zhaoxiang Zhang, Chenxu Zhao, Zepu Ruan, Chao Shen, Xiaoming Liu

CoRR, April, 2026

MLLM-4D: Towards Visual-based Spatial-Temporal Intelligence.

Xingyilang Yin, Chengzhengxu Li, Jiahao Chang, Chi-Man Pun, Xiaodong Cun

CoRR, March, 2026

Confidence Should Be Calibrated More Than One Turn Deep.

Zhaohan Zhang, Chengzhengxu Li, Xiaoming Liu, Chao Shen, Ziquan Liu, Ioannis Patras

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

Can Reasoning Path still be Effective as Input? Bridging Post-Reasoning to Chain-of-Thought Compression.

Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Shengchao Liu, Guoxin Ma, Yu Lan, Cong Wang, Chao Shen

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

MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment.

Shengchao Liu, Xiaoming Liu, Chengzhengxu Li, Zhaohan Zhang, Guoxin Ma, Yu Lan, Shuai Xiao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

DEER: Disentangled Mixture of Experts with Instance-Adaptive Routing for Generalizable Machine-Generated Text Detection.

Guoxin Ma, Xiaoming Liu, Zhanhan Zhang, Chengzhengxu Li, Shengchao Liu, Yu Lan

CoRR, November, 2025

Upfront Chain-of-Thought: A Cooperative Framework for Chain-of-Thought Compression.

Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Shaochu Zhang, Shengchao Liu, Guoxin Ma, Yu Lan, Chao Shen

CoRR, October, 2025

MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment.

Shengchao Liu, Xiaoming Liu, Chengzhengxu Li, Zhaohan Zhang, Guoxin Ma, Yu Lan, Shuai Xiao

CoRR, August, 2025

Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training.

Yuanfan Li, Zhaohan Zhang, Chengzhengxu Li, Chao Shen, Xiaoming Liu

CoRR, February, 2025

Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training.

Yuanfan Li, Zhaohan Zhang, Chengzhengxu Li, Chao Shen, Xiaoming Liu

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

2024

Does DetectGPT Fully Utilize Perturbation? Bridge Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better.

Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen

CoRR, 2024

Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models.

Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Chen Liu, Yu Lan, Chao Shen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation.

Xiaoming Liu, Chen Liu, Zhaohan Zhang, Chengzhengxu Li, Longtian Wang, Yu Lan, Chao Shen

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

Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better.

Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen

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

Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning.

Chengzhengxu Li, Xiaoming Liu, Yichen Wang, Duyi Li, Yu Lan, Chao Shen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Dialogue for Prompting: a Policy-Gradient-Based Discrete Prompt Optimization for Few-shot Learning.

Chengzhengxu Li, Xiaoming Liu, Yichen Wang, Duyi Li, Yu Lan, Chao Shen

CoRR, 2023