Haoran Luo

According to our database, Haoran Luo authored at least 47 papers between 2021 and 2026.

Collaborative distances:

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

2026

ONOTE: Benchmarking Omnimodal Notation Processing for Expert-level Music Intelligence.

Menghe Ma, Siqing Wei, Yuecheng Xing, Yaheng Wang, Fanhong Meng, Peijun Han, Luu Anh Tuan, Haoran Luo

CoRR, April, 2026

Ride the Wave: Precision-Allocated Sparse Attention for Smooth Video Generation.

Wentai Zhang, Ronghui Xi, Shiyao Peng, Jiayu Huang, Haoran Luo, Zichen Tang, Haihong E

CoRR, April, 2026

LungCURE: Benchmarking Multimodal Real-World Clinical Reasoning for Precision Lung Cancer Diagnosis and Treatment.

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

CoRR, April, 2026

BenchBench: Benchmarking Automated Benchmark Generation.

Yandan Zheng, Haoran Luo, Zhenghong Lin, Wenjin Liu, Luu Anh Tuan

CoRR, March, 2026

HiFlow: Hierarchical Feedback-Driven Optimization for Constrained Long-Form Text Generation.

Yifan Zhu, Guanting Chen, Bing Wei, Haoran Luo

CoRR, March, 2026

OrchMAS: Orchestrated Reasoning with Multi Collaborative Heterogeneous Scientific Expert Structured Agents.

Yichao Feng, Haoran Luo, Zhenghong Lin, Yiqun Sun, Pengfei Wei, Lawrence B. Hsieh, Anh Tuan Luu

CoRR, March, 2026

OdysseyArena: Benchmarking Large Language Models For Long-Horizon, Active and Inductive Interactions.

Fangzhi Xu, Hang Yan, Qiushi Sun, Jinyang Wu, Zixian Huang, Muye Huang, Jingyang Gong, Zichen Ding, Kanzhi Cheng, Yian Wang, Xinyu Che, Zeyi Sun, Jian Zhang, Zhangyue Yin, Haoran Luo, Xuanjing Huang, Ben Kao, Jun Liu, Qika Lin

CoRR, February, 2026

OmniRAG-Agent: Agentic Omnimodal Reasoning for Low-Resource Long Audio-Video Question Answering.

Yifan Zhu, Xinyu Mu, Tao Feng, Zhonghong Ou, Yuning Gong, Haoran Luo

CoRR, February, 2026

FlowSteer: Interactive Agentic Workflow Orchestration via End-to-End Reinforcement Learning.

Mingda Zhang, Haoran Luo, Tiesunlong Shen, Qika Lin, Xiaoying Tang, Rui Mao, Erik Cambria

CoRR, February, 2026

MAXS: Meta-Adaptive Exploration with LLM Agents.

Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Yu He, Haoran Luo, Li Yuan, Lingling Zhang, Rui Mao, Qika Lin, Jun Liu

CoRR, January, 2026

Cumulative Path-Level Semantic Reasoning for Inductive Knowledge Graph Completion.

Jiapu Wang, Xinghe Cheng, Zezheng Wu, Ruiqi Ma, Rui Wang, Zhichao Yan, Haoran Luo, Yuhao Jiang, Kai Sun

CoRR, January, 2026

Multitask reinforcement learning with metadata-guided adaptive routing.

Rui Pan, Haoran Luo, Quan Yuan, Guiyang Luo, Jinglin Li, Tiesunlong Shen, Rui Mao, Erik Cambria

Inf. Fusion, 2026

ConsistEAE: Enhancing low-resource event argument extraction with linguistically consistent demonstrations.

Yikai Guo, Xuemeng Tian, Bin Ge, Yuting Yang, Yao He, Wenjun Ke, Junjie Hu, Yanyang Li, Haoran Luo

Neurocomputing, 2026

From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning.

Yichao Feng, Haoran Luo, Lang Feng, Shuai Zhao, Anh Tuan Luu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence.

Wenjin Liu, Haoran Luo, Xin Feng, Xiang Ji, Lijuan Zhou, Rui Mao, Jiapu Wang, Shirui Pan, Erik Cambria

CoRR, December, 2025

Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning.

Wenjin Liu, Haoran Luo, Xueyuan Lin, Haoming Liu, Tiesunlong Shen, Jiapu Wang, Rui Mao, Erik Cambria

CoRR, November, 2025

CDTP: A Large-Scale Chinese Data-Text Pair Dataset for Comprehensive Evaluation of Chinese LLMs.

Chengwei Wu, Jiapu Wang, Mingyang Gao, Xingrui Zhuo, Jipeng Guo, Runlin Lei, Haoran Luo, Tianyu Chen, Haoyi Zhou, Shirui Pan, Zechao Li

CoRR, October, 2025

A Foundation Model for Chest X-ray Interpretation with Grounded Reasoning via Online Reinforcement Learning.

Qika Lin, Yifan Zhu, Bin Pu, Ling Huang, Haoran Luo, Jingying Ma, Zhen Peng, Tianzhe Zhao, Fangzhi Xu, Jian Zhang, Kai He, Zhonghong Ou, Swapnil Mishra, Mengling Feng

CoRR, September, 2025

Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning.

Haoran Luo, Haihong E, Guanting Chen, Qika Lin, Yikai Guo, Fangzhi Xu, Ze-min Kuang, Meina Song, Xiaobao Wu, Yifan Zhu, Luu Anh Tuan

CoRR, July, 2025

MUR: Momentum Uncertainty guided Reasoning for Large Language Models.

Hang Yan, Fangzhi Xu, Rongman Xu, Yifei Li, Jian Zhang, Haoran Luo, Xiaobao Wu, Luu Anh Tuan, Haiteng Zhao, Qika Lin, Jun Liu

CoRR, July, 2025

HyperGraphRAG: Retrieval-Augmented Generation with Hypergraph-Structured Knowledge Representation.

Haoran Luo, Haihong E, Guanting Chen, Yandan Zheng, Xiaobao Wu, Yikai Guo, Qika Lin, Yu Feng, Ze-min Kuang, Meina Song, Yifan Zhu, Luu Anh Tuan

CoRR, March, 2025

SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL.

Shuai Lyu, Haoran Luo, Zhonghong Ou, Yifan Zhu, Xiaoran Shang, Yang Qin, Meina Song

CoRR, February, 2025

TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval.

Shuai Lyu, Zijing Tian, Zhonghong Ou, Yifan Zhu, Xiao Zhang, Qiankun Ha, Haoran Luo, Meina Song

CoRR, January, 2025

PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning.

Yu Feng, Yangli-ao Geng, Yifan Zhu, Zongfu Han, Xie Yu, Kaiwen Xue, Haoran Luo, Mengyang Sun, Guangwei Zhang, Meina Song

Proceedings of the ACM on Web Conference 2025, 2025

KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search.

Haoran Luo, Haihong E, Yikai Guo, Qika Lin, Xiaobao Wu, Xinyu Mu, Wenhao Liu, Meina Song, Yifan Zhu, Anh Tuan Luu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

INFER: A Neural-symbolic Model For Extrapolation Reasoning on Temporal Knowledge Graph.

Ningyuan Li, Haihong E, Tianyu Yao, Tianyi Hu, Yuhan Li, Haoran Luo, Meina Song, Yifan Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Complex Numerical Reasoning with Numerical Semantic Pre-training Framework.

Jun Zhang, Haihong E, Tianyi Hu, Yifan Zhu, Meina Song, Haoran Luo

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

A Cognitive Writing Perspective for Constrained Long-Form Text Generation.

Kaiyang Wan, Honglin Mu, Rui Hao, Haoran Luo, Tianle Gu, Xiuying Chen

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

TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval.

Shuai Lyu, Zijing Tian, Zhonghong Ou, Yifan Zhu, Xiao Zhang, Qiankun Ha, Haoran Luo, Meina Song

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

FulBM: Fast Fully Batch Maintenance for Landmark-based 3-hop Cover Labeling.

Wentai Zhang, Haihong E, Haoran Luo, Mingzhi Sun

ACM Trans. Knowl. Discov. Data, July, 2024

MDM: Meta diffusion model for hard-constrained text generation.

Wenjun Ke, Yikai Guo, Qi Liu, Wanyi Chen, Peng Wang, Haoran Luo, Zhizhao Luo

Knowl. Based Syst., January, 2024

CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model.

Zhengpeng Shi, Haoran Luo

CoRR, 2024

Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction.

Haoran Luo, Haihong E, Yuhao Yang, Tianyu Yao, Yikai Guo, Zichen Tang, Wentai Zhang, Shiyao Peng, Kaiyang Wan, Meina Song, Wei Lin, Yifan Zhu, Anh Tuan Luu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning.

Yu Feng, Zhen Tian, Yifan Zhu, Zongfu Han, Haoran Luo, Guangwei Zhang, Meina Song

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models.

Haoran Luo, Haihong E, Zichen Tang, Shiyao Peng, Yikai Guo, Wentai Zhang, Chenghao Ma, Guanting Dong, Meina Song, Wei Lin, Yifan Zhu, Anh Tuan Luu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Corrigendum to Clinical decision support system for hypertension medication based on knowledge graph: [Computer Methods and Programs in Biomedicine Volume 227 (2022)/ 107220].

Gengxian Zhou, Haihong E, Ze-min Kuang, Ling Tan, Xiaoxuan Xie, Jundi Li, Haoran Luo

Comput. Methods Programs Biomed., May, 2023

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models.

Haoran Luo, Haihong E, Zichen Tang, Shiyao Peng, Yikai Guo, Wentai Zhang, Chenghao Ma, Guanting Dong, Meina Song, Wei Lin

CoRR, 2023

Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction.

Haoran Luo, Haihong E, Yuhao Yang, Tianyu Yao, Yikai Guo, Zichen Tang, Wentai Zhang, Kaiyang Wan, Shiyao Peng, Meina Song, Wei Lin

CoRR, 2023

TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph.

Xueyuan Lin, Haihong E, Chengjin Xu, Gengxian Zhou, Haoran Luo, Tianyi Hu, Fenglong Su, Ningyuan Li, Mingzhi Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TR-Rules: Rule-based Model for Link Forecasting on Temporal Knowledge Graph Considering Temporal Redundancy.

Ningyuan Li, Haihong E, Shi Li, Mingzhi Sun, Tianyu Yao, Meina Song, Yong Wang, Haoran Luo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level.

Haoran Luo, Haihong E, Yuhao Yang, Yikai Guo, Mingzhi Sun, Tianyu Yao, Zichen Tang, Kaiyang Wan, Meina Song, Wei Lin

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs.

Haoran Luo, Haihong E, Yuhao Yang, Gengxian Zhou, Yikai Guo, Tianyu Yao, Zichen Tang, Xueyuan Lin, Kaiyang Wan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing.

Haoran Luo, Haihong E, Ling Tan, Gengxian Zhou, Tianyu Yao, Kaiyang Wan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

DHGE: Dual-view Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing.

Haoran Luo, Haihong E, Ling Tan, Xueyuan Lin, Gengxian Zhou, Jundi Li, Tianyu Yao, Kaiyang Wan

CoRR, 2022

FLEX: Feature-Logic Embedding Framework for CompleX Knowledge Graph Reasoning.

Xueyuan Lin, Haihong E, Gengxian Zhou, Tianyi Hu, Ningyuan Li, Mingzhi Sun, Haoran Luo

CoRR, 2022

Clinical decision support system for hypertension medication based on knowledge graph.

Gengxian Zhou, Haihong E, Ze-min Kuang, Ling Tan, Xiaoxuan Xie, Jundi Li, Haoran Luo

Comput. Methods Programs Biomed., 2022

2021

EchoEA: Echo Information between Entities and Relations for Entity Alignment.

Xueyuan Lin, Haihong E, Wenyu Song, Haoran Luo

CoRR, 2021