Wu Ning

According to our database, Wu Ning authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

The Tool-Overuse Illusion: Why Does LLM Prefer External Tools over Internal Knowledge?

Yirong Zeng, Shen You, Yufei Liu, Qunyao Du, Xiao Ding, Yutai Hou, Yuxian Wang, Wu Ning, Haonan Song, Dandan Tu, Bibo Cai, Ting Liu

CoRR, April, 2026

AutoTool: Automatic Scaling of Tool-Use Capabilities in RL via Decoupled Entropy Constraints.

Yirong Zeng, Xiao Ding, Yufei Liu, Yuxian Wang, Qunyao Du, Yutai Hou, Wu Ning, Haonan Song, Duyu Tang, Dandan Tu, Bing Qin, Ting Liu

CoRR, March, 2026

Precision over Diversity: High-Precision Reward Generalizes to Robust Instruction Following.

Yirong Zeng, Yufei Liu, Xiao Ding, Yutai Hou, Yuxian Wang, Haonan Song, Wu Ning, Dandan Tu, Qixun Zhang, Bibo Cai, Yuxiang He, Ting Liu

CoRR, January, 2026

TreeAdv: Tree-Structured Advantage Redistribution for Group-Based RL.

Lang Cao, Hui Ruan, Yongqian Li, Peng Chao, Wu Ning, Haonan Song, Renhong Chen, Yitong Li

CoRR, January, 2026

TinyJudge: Unverifiable Constraint Alignment via Lightweight Specialist Ensembles.

Yirong Zeng, Yufei Liu, Xiao Ding, Yutai Hou, Yuxian Wang, Wu Ning, Haonan Song, Dandan Tu, Qixun Zhang, Yuxiang He, Bibo Cai, Ting Liu

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

2025

Process Reward Modeling with Entropy-Driven Uncertainty.

Lang Cao, Renhong Chen, Yingtian Zou, Chao Peng, Wu Ning, Huacong Xu, Qian Chen, Yuxian Wang, Peishuo Su, Mofan Peng, Zijie Chen, Yitong Li

CoRR, March, 2025

Boosting Tool Use of Large Language Models via Iterative Reinforced Fine-Tuning.

Yirong Zeng, Xiao Ding, Yuxian Wang, Weiwen Liu, Wu Ning, Yutai Hou, Xu Huang, Bing Qin, Ting Liu

CoRR, January, 2025

ToolACE: Winning the Points of LLM Function Calling.

Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

iTool: Reinforced Fine-Tuning with Dynamic Deficiency Calibration for Advanced Tool Use.

Yirong Zeng, Xiao Ding, Yuxian Wang, Weiwen Liu, Yutai Hou, Wu Ning, Xu Huang, Duyu Tang, Dandan Tu, Bing Qin, Ting Liu

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

Step Guided Reasoning: Improving Mathematical Reasoning using Guidance Generation and Step Reasoning.

Lang Cao, Yingtian Zou, Chao Peng, Renhong Chen, Wu Ning, Yitong Li

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

2023

PAII: A Pose Alignment Network with Information Interaction for Person Re-identification.

Chunyan Lyu, Tong Xu, Wu Ning, Qi Cheng, Kejun Wang, Chenhui Wang

Neural Process. Lett., April, 2023

2022

Joint Attention-Driven Domain Fusion and Noise-Tolerant Learning for Multi-Source Domain Adaptation.

Tong Xu, Wu Ning, Chunyan Lyu, Kejun Wang

CoRR, 2022

A multi-branch attention and alignment network for person re-identification.

Chunyan Lyu, Wu Ning, Chenhui Wang, Kejun Wang

Appl. Intell., 2022