Chen, Hanzhu

10 publications

ICLR 2026 Boosting Multi-Domain Reasoning of LLMs via Curvature-Guided Policy Optimization Xize Liang, Lin Yang, Jie Wang, Rui Liu, Yang Lu, Jinliang Zeng, Hanzhu Chen, Dong Li, Jianye Hao

ICLR 2026 Following the Navigation: Enhancing Small Language Models Contextual Reasoning with LLM Guidance Xiaoqi Ni, Jie Wang, Lin Yang, Yiyang Lu, Hanzhu Chen, Rui Liu, Jianye Hao

ICLR 2026 Latent-Guided Reasoning: Empowering Small LLMs with Large-Model Thinking Hanzhu Chen, Lin Yang, Jie Wang, Junhao Yan, Zhe Wang, Xize Liang, Jianye Hao

ICML 2025 Boosting Multi-Domain Fine-Tuning of Large Language Models Through Evolving Interactions Between Samples Xize Liang, Lin Yang, Jie Wang, Yiyang Lu, Runyu Wu, Hanzhu Chen, Jianye Hao

ICLR 2025 Knowledge Graph Finetuning Enhances Knowledge Manipulation in Large Language Models Hanzhu Chen, Xu Shen, Jie Wang, Zehao Wang, Qitan Lv, Junjie He, Rong Wu, Feng Wu, Jieping Ye

NeurIPS 2025 LogicTree: Improving Complex Reasoning of LLMs via Instantiated Multi-Step Synthetic Logical Data Zehao Wang, Lin Yang, Jie Wang, Kehan Wang, Hanzhu Chen, Bin Wang, Jianye Hao, Defu Lian, Bin Li, Enhong Chen

ICML 2025 ROPO: Robust Preference Optimization for Large Language Models Xize Liang, Chao Chen, Shuang Qiu, Jie Wang, Yue Wu, Zhihang Fu, Hanzhu Chen, Feng Wu, Jieping Ye

ICML 2024 Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models Qitan Lv, Jie Wang, Hanzhu Chen, Bin Li, Yongdong Zhang, Feng Wu

NeurIPS 2024 Neural Krylov Iteration for Accelerating Linear System Solving Jian Luo, Jie Wang, Hong Wang, Huanshuo Dong, Zijie Geng, Hanzhu Chen, Yufei Kuang

NeurIPS 2023 Learning Rule-Induced Subgraph Representations for Inductive Relation Prediction Tianyu Liu, Qitan Lv, Jie Wang, Shuling Yang, Hanzhu Chen