Muling Wu

According to our database, Muling Wu authored at least 16 papers between 2023 and 2025.

Collaborative distances:

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

2025

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning.

Muling Wu, Qi Qian, Wenhao Liu, Xiaohua Wang, Zisu Huang, Di Liang, LI Miao, Shihan Dou, Changze Lv, Zhenghua Wang, Zhibo Xu, Lina Chen, Tianlong Li, Xiaoqing Zheng, Xuanjing Huang

CoRR, June, 2025

RECAST: Strengthening LLMs' Complex Instruction Following with Constraint-Verifiable Data.

Wenhao Liu, Zhengkang Guo, Mingchen Xie, Jingwen Xu, Zisu Huang, Muzhao Tian, Jianhan Xu, Muling Wu, Xiaohua Wang, Changze Lv, He-Da Wang, Hu Yao, Xiaoqing Zheng, Xuanjing Huang

CoRR, May, 2025

Improving RL Exploration for LLM Reasoning through Retrospective Replay.

Shihan Dou, Muling Wu, Jingwen Xu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang

CoRR, April, 2025

SpikeCLIP: A contrastive language-image pretrained spiking neural network.

Changze Lv, Tianlong Li, Wenhao Liu, Yufei Gu, Jianhan Xu, Cenyuan Zhang, Muling Wu, Xiaoqing Zheng, Xuanjing Huang

Neural Networks, 2025

Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective.

Tianlong Li, Zhenghua Wang, Wenhao Liu, Muling Wu, Shihan Dou, Changze Lv, Xiaohua Wang, Xiaoqing Zheng, Xuanjing Huang

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

Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing.

Wenhao Liu, Siyu An, Junru Lu, Muling Wu, Tianlong Li, Xiaohua Wang, Changze Lv, Xiaoqing Zheng, Di Yin, Xing Sun, Xuanjing Huang

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

2024

Multi-Programming Language Sandbox for LLMs.

Shihan Dou, Jiazheng Zhang, Jianxiang Zang, Yunbo Tao, Haoxiang Jia, Shichun Liu, Yuming Yang, Shenxi Wu, Shaoqing Zhang, Muling Wu, Changze Lv, Limao Xiong, Wenyu Zhan, Lin Zhang, Rongxiang Weng, Jingang Wang, Xunliang Cai, Yueming Wu, Ming Wen, Rui Zheng, Tao Ji, Yixin Cao, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang

CoRR, 2024

Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing.

Wenhao Liu, Siyu An, Junru Lu, Muling Wu, Tianlong Li, Xiaohua Wang, Xiaoqing Zheng, Di Yin, Xing Sun, Xuanjing Huang

CoRR, 2024

What's Wrong with Your Code Generated by Large Language Models? An Extensive Study.

Shihan Dou, Haoxiang Jia, Shenxi Wu, Huiyuan Zheng, Weikang Zhou, Muling Wu, Mingxu Chai, Jessica Fan, Caishuang Huang, Yunbo Tao, Yan Liu, Enyu Zhou, Ming Zhang, Yuhao Zhou, Yueming Wu, Rui Zheng, Ming Wen, Rongxiang Weng, Jingang Wang, Xunliang Cai, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang

CoRR, 2024

Towards Biologically Plausible Computing: A Comprehensive Comparison.

Changze Lv, Yufei Gu, Zhengkang Guo, Zhibo Xu, Yixin Wu, Feiran Zhang, Tianyuan Shi, Zhenghua Wang, Ruicheng Yin, Yu Shang, Siqi Zhong, Xiaohua Wang, Muling Wu, Wenhao Liu, Tianlong Li, Jianhao Zhu, Cenyuan Zhang, Zixuan Ling, Xiaoqing Zheng

CoRR, 2024

Promoting Data and Model Privacy in Federated Learning through Quantized LoRA.

Jianhao Zhu, Changze Lv, Xiaohua Wang, Muling Wu, Wenhao Liu, Tianlong Li, Zixuan Ling, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang

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

Advancing Parameter Efficiency in Fine-tuning via Representation Editing.

Muling Wu, Wenhao Liu, Xiaohua Wang, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang

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

Aligning Large Language Models with Human Preferences through Representation Engineering.

Wenhao Liu, Xiaohua Wang, Muling Wu, Tianlong Li, Changze Lv, Zixuan Ling, Jianhao Zhu, Cenyuan Zhang, Xiaoqing Zheng, Xuanjing Huang

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

2023

SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network.

Tianlong Li, Wenhao Liu, Changze Lv, Jianhan Xu, Cenyuan Zhang, Muling Wu, Xiaoqing Zheng, Xuanjing Huang

CoRR, 2023

Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts.

Muling Wu, Wenhao Liu, Jianhan Xu, Changze Lv, Zixuan Ling, Tianlong Li, Longtao Huang, Xiaoqing Zheng, Xuanjing Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation.

Chenxi Gu, Xiaoqing Zheng, Jianhan Xu, Muling Wu, Cenyuan Zhang, Chengsong Huang, Hua Cai, Xuanjing Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023