⭐ Representative Works

^* Equal contribution. ^† Corresponding author.

1. [NeurIPS] Haoran Luo, Haihong E, Guanting Chen, Yandan Zheng, Xiaobao Wu, Yikai Guo, Qika Lin, Yu Feng, Zemin Kuang, Meina Song, Yifan Zhu, Luu Anh Tuan. HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation. The Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. [paper] [code]
2. [NeurIPS] Haoran Luo, Haihong E, Yuhao Yang, Tianyu Yao, Yikai Guo, Zichen Tang, Wentai Zhang, Shiyao Peng, Kaiyang Wan, Meina Song, Wei Lin, Yifan Zhu, Luu Anh Tuan. Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction. The Annual Conference on Neural Information Processing Systems (NeurIPS), 2024. [paper] [code]
3. [NeurIPS] Haolin Pan, Hongyu Lin, Haoran Luo^†, Yang Liu, Kaichun Yao, Libo Zhang, Mingjie Xing^†, Yanjun Wu. Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning. The Annual Conference on Neural Information Processing Systems (NeurIPS), 2025. [paper] [code]
4. [ICML] Haoran Luo, Haihong E, Guanting Chen, Qika Lin, Yikai Guo, Fangzhi Xu, Zemin Kuang, Meina Song, Xiaobao Wu, Yifan Zhu, Luu Anh Tuan. Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning. The International Conference on Machine Learning (ICML), 2026. [preprint] [code]
5. [ICML] Haoran Luo, Haihong E, Yikai Guo, Qika Lin, Xiaobao Wu, Xinyu Mu, Wenhao Liu, Meina Song, Yifan Zhu, Luu Anh Tuan. KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search. The International Conference on Machine Learning (ICML), 2025. [paper] [code]
6. [ICML] Kaiwen Xue, Tao Wei, Zhonghong Ou^†, Guoxin Zhang, Kaoyan Lu, Yu Feng, Yifan Zhu, Haoran Luo^†. ERGeoBench: A Comprehensive Benchmark for Embodied Reasoning and Geo-localization in Multimodal Large Language Models. The International Conference on Machine Learning (ICML), 2026. [preprint] [code]
7. [ICLR] Yifan Zhu, Huiqiang Rong, Haoran Luo^†. Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding. The International Conference on Learning Representations (ICLR), 2026. [preprint] [code]
8. [ACL] Haoran Luo, Haihong E, Yuhao Yang, Yikai Guo, Mingzhi Sun, Tianyu Yao, Zichen Tang, Kaiyang Wan, Meina Song, Wei Lin. HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level. The Annual Meeting of the Association for Computational Linguistics (ACL), 2023. [paper] [code]
9. [ACL] Haoran Luo, Haihong E, Zichen Tang, Shiyao Peng, Yikai Guo, Wentai Zhang, Chenghao Ma, Guanting Dong, Meina Song, Wei Lin, Yifan Zhu, Luu Anh Tuan. ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models. The Annual Meeting of the Association for Computational Linguistics (ACL), 2024. [paper] [code]
10. [ACL] Wenjin Liu, Haoran Luo^†, Xueyuan Lin, Haoming Liu^†, Tiesunlong Shen, Jiapu Wang, Rui Mao, Erik Cambria. Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning. The Annual Meeting of the Association for Computational Linguistics (ACL), 2026. [paper] [code]
11. [ACL] Wenjin Liu^*, Haoran Luo^*, Xin Feng, Xiang Ji, Lijuan Zhou, Rui Mao, Jiapu Wang, Shirui Pan, Erik Cambria. LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence. The Annual Meeting of the Association for Computational Linguistics (ACL), 2026. [paper] [code]
12. [KDD] Yongqing Jiang, Jianze Wang, Zhiqi Shen, Zhenghong Lin, Jiayuan Wang, Yijian Yang, Kaoshan Dai^†, Haoran Luo^†. Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation. The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026. [paper] [code]
13. [KDD] Hongyu Lin, Yuchen Li, Haoran Luo^†, Zhenghong Lin, Libo Zhang, Libo Zhang, Mingjie Xing^†, Yanjun Wu. TuneAgent: Agentic Operating System Kernel Tuning with Reinforcement Learning. The ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2026. [paper] [code]
14. [AAAI] Haoran Luo, Haihong E, Yuhao Yang, Gengxian Zhou, Yikai Guo, Tianyu Yao, Zichen Tang, Xueyuan Lin, Kaiyang Wan. NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs. The Annual AAAI Conference on Artificial Intelligence (AAAI), 2023. [paper] [code]
15. [AAAI] Haoran Luo, Haihong E, Ling Tan, Gengxian Zhou, Tianyu Yao, Kaiyang Wan. DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing. The Annual AAAI Conference on Artificial Intelligence (AAAI), 2023. [paper] [code]
16. [AAAI] Feng Yichao^*, Haoran Luo^*, Lang Feng, Shuai Zhao, Anh Tuan Luu. From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning. The Annual AAAI Conference on Artificial Intelligence (AAAI), 2026. [paper] [code]
17. [ACM MM] Fangyu Hao, Jiayu Yang, Yifan Zhu^†, Zijun Yu, Qicen Wu, Wang Yunlong, Jiawei Li, Yulin Liu, Xu Zeng, Guanting Chen, Shihao Li, Zhonghong Ou, Meina Song, Mengyang Sun, Haoran Luo^†, Yu Shi, Yingyi Wang. LungCURE: Benchmarking Multimodal Real-World Clinical Reasoning for Precision Lung Cancer Diagnosis and Treatment. The ACM International Conference on Multimedia (ACM MM), 2026. [preprint] [code]