Yirong Zeng

According to our database, Yirong Zeng authored at least 12 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

Human cognitive process aligned rumor detection with small language models enhanced large language models.

Yirong Zeng, Xiao Ding, Bibo Cai, Bing Qin, Ting Liu

Inf. Process. Manag., 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

ToolACE-DEV: Self-Improving Tool Learning via Decomposition and EVolution.

Xu Huang, Weiwen Liu, Xingshan Zeng, Yuefeng Huang, Xinlong Hao, Yuxian Wang, Yirong Zeng, Chuhan Wu, Yasheng Wang, Ruiming Tang, Defu Lian

CoRR, May, 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

Exploring Large Language Models for Effective Rumor Detection on Social Media.

Yirong Zeng, Xiao Ding, Bibo Cai, Ting Liu, Bing Qin

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 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

Tool Zero: Training Tool-Augmented LLMs via Pure RL from Scratch.

Yirong Zeng, Xiao Ding, Yutai Hou, Yuxian Wang, Li Du, Juyi Dai, Qiuyang Ding, Duyu Tang, Dandan Tu, Weiwen Liu, Bing Qin, Ting Liu

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

2024

RU22Fact: Optimizing Evidence for Multilingual Explainable Fact-Checking on Russia-Ukraine Conflict.

Yirong Zeng, Xiao Ding, Yi Zhao, Xiangyu Li, Jie Zhang, Chao Yao, Ting Liu, Bing Qin

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

2022

CSKE: Commonsense Knowledge Enhanced Text Extension Framework for Text-Based Logical Reasoning.

Yirong Zeng, Xiao Ding, Li Du, Ting Liu, Bing Qin

Proceedings of the Knowledge Graph and Semantic Computing: Knowledge Graph Empowers the Digital Economy, 2022