Jinluan Yang

According to our database, Jinluan Yang authored at least 18 papers between 2023 and 2026.

Collaborative distances:

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

2026

TopoCurate:Modeling Interaction Topology for Tool-Use Agent Training.

Jinluan Yang, Yuxin Liu, Zhengyu Chen, Chengcheng Han, Yueqing Sun, Qi Gu, Hui Su, Xunliang Cai, Fei Wu, Kun Kuang

CoRR, March, 2026

ExpertWeaver: Unlocking the Inherent MoE in Dense LLMs with GLU Activation Patterns.

Ziyu Zhao, Tong Zhu, Zhiqiang Zhang, Tiantian Fan, Jinluan Yang, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng

CoRR, February, 2026

SIGHT: Reinforcement Learning with Self-Evidence and Information-Gain Diverse Branching for Search Agent.

Wenlin Zhong, Jinluan Yang, Yiquan Wu, Yi Liu, Jianhang Yao, Kun Kuang

CoRR, February, 2026

Pushing the Boundaries of Natural Reasoning: Interleaved Bonus from Formal-Logic Verification.

Chuxue Cao, Jinluan Yang, Haoran Li, Kunhao Pan, Zijian Zhao, Zhe Chen, Yuchen Tian, Lijun Wu, Conghui He, Sirui Han, Yike Guo

CoRR, January, 2026

LRAS: Advanced Legal Reasoning with Agentic Search.

Yujin Zhou, Chuxue Cao, Jinluan Yang, Lijun Wu, Conghui He, Sirui Han, Yike Guo

CoRR, January, 2026

Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-task Learning.

Ziyu Zhao, Yixiao Zhou, Xin Yu, Zhi Zhang, Didi Zhu, Tao Shen, Zexi Li, Jinluan Yang, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Scaling and Transferability of Annealing Strategies in Large Language Model Training.

Siqi Wang, Zhengyu Chen, Teng Xiao, Zheqi Lv, Jinluan Yang, Xunliang Cai, Jingang Wang, Xiaomeng Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Noise Projection: Closing the Prompt-Agnostic Gap Behind Text-to-Image Misalignment in Diffusion Models.

Yunze Tong, Didi Zhu, Zijing Hu, Jinluan Yang, Ziyu Zhao

CoRR, October, 2025

Can Tool-Integrated Reinforcement Learning Generalize Across Diverse Domains?

Zhengyu Chen, Jinluan Yang, Teng Xiao, Ruochen Zhou, Luan Zhang, Xiangyu Xi, Xiaowei Shi, Wei Wang, Jinggang Wang

CoRR, October, 2025

Unifying Adversarial Perturbation for Graph Neural Networks.

Jinluan Yang, Ruihao Zhang, Zhengyu Chen, Fei Wu, Kun Kuang

CoRR, September, 2025

AdaR1: From Long-CoT to Hybrid-CoT via Bi-Level Adaptive Reasoning Optimization.

Haotian Luo, Haiying He, Yibo Wang, Jinluan Yang, Rui Liu, Naiqiang Tan, Xiaochun Cao, Dacheng Tao, Li Shen

CoRR, April, 2025

Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging.

Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang

CoRR, February, 2025

Leveraging Invariant Principle for Heterophilic Graph Structure Distribution Shifts.

Jinluan Yang, Zhengyu Chen, Teng Xiao, Yong Lin, Wenqiao Zhang, Kun Kuang

Proceedings of the ACM on Web Conference 2025, 2025

REMEDY: Recipe Merging Dynamics in Large Vision-Language Models.

Didi Zhu, Yibing Song, Tao Shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace.

Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards Advanced Mathematical Reasoning for LLMs via First-Order Logic Theorem Proving.

Chuxue Cao, Mengze Li, Juntao Dai, Jinluan Yang, Zijian Zhao, Shengyu Zhang, Weijie Shi, Chengzhong Liu, Sirui Han, Yike Guo

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

2024

Learning to Reweight for Generalizable Graph Neural Network.

Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu

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

2023

Learning to Reweight for Graph Neural Network.

Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu

CoRR, 2023