Publications (76)
LexGenius: An Expert-Level Benchmark for Large Language Models in Legal General Intelligence
Wenjin Liu, Haoran Luo, Xin Feng +6
TemplateRL: Structured Template-Guided Reinforcement Learning for LLM Reasoning
Jinyang Wu, Chonghua Liao, Mingkuan Feng +6
Introducing Multimodal Paradigm for Learning Sleep Staging PSG via General-Purpose Model
Jianheng Zhou, Chenyu Liu, Jinan Zhou +5
EchoEA: Echo Information between Entities and Relations for Entity Alignment
Xueyuan Lin, Haihong E, Wenyu Song +1
On the thresholds of degenerate hypergraphs
Yu Chen, Jie Han, Haoran Luo
Local maximum of inducibility profiles
József Balogh, Bernard Lidický, Haoran Luo
BenchBench: Benchmarking Automated Benchmark Generation
Yandan Zheng, Haoran Luo, Zhenghong Lin +2
Cumulative Path-Level Semantic Reasoning for Inductive Knowledge Graph Completion
Jiapu Wang, Xinghe Cheng, Zezheng Wu +6
Multicolor ErdÅs--Rogers Functions
Hong Liu, Haoran Luo, Minghui Ouyang
MAXS: Meta-Adaptive Exploration with LLM Agents
Jian Zhang, Zhiyuan Wang, Zhangqi Wang +7
Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning
Wenjin Liu, Haoran Luo, Xueyuan Lin +5
A Jump in the Codegree Turán Densities of Long Tight Cycles
József Balogh, Haoran Luo, Maya Sankar
Text2NKG: Fine-Grained N-ary Relation Extraction for N-ary relational Knowledge Graph Construction
Haoran Luo, Haihong E, Yuhao Yang +10
On the number of forests and connected spanning subgraphs
Márton Borbényi, Péter Csikvári, Haoran Luo
HyperGraphRAG: Retrieval-Augmented Generation via Hypergraph-Structured Knowledge Representation
Haoran Luo, Haihong E, Guanting Chen +9
SQL-o1: A Self-Reward Heuristic Dynamic Search Method for Text-to-SQL
Shuai Lyu, Haoran Luo, Ripeng Li +6
TuneAgent: Agentic Operating System Kernel Tuning with Reinforcement Learning
Hongyu Lin, Yuchen Li, Haoran Luo +4
On the minimum size of maximal $k$-wise intersecting families
Haoran Luo
A Cognitive Writing Perspective for Constrained Long-Form Text Generation
Kaiyang Wan, Honglin Mu, Rui Hao +3
MVKTrans: Multi-View Knowledge Transfer for Robust Multiomics Classification
Shan Cong, Zhiling Sang, Hongwei Liu +5
Trajectory-Guided Forget-Recover Network for Continual LLM Unlearning
Zezheng Wu, Xinghe Cheng, Qinggang Zhang +4
Maximum number of points in general position in a random subset of finite $3$-dimensional spaces
József Balogh, Haoran Luo
On the Maximum $F_5$-free Subhypergraphs of a Random Hypergraph
Igor Araujo, József Balogh, Haoran Luo
SkillFlow: Flow-Driven Recursive Skill Evolution for Agentic Orchestration
Mingda Zhang, Tiesunlong Shen, Haoran Luo +4
Turán density of long tight cycle minus one hyperedge
József Balogh, Haoran Luo
NS-VLA: Towards Neuro-Symbolic Vision-Language-Action Models
Ziyue Zhu, Shangyang Wu, Shuai Zhao +5
OrchMAS: Orchestrated Reasoning with Multi Collaborative Heterogeneous Scientific Expert Structured Agents
Yichao Feng, Haoran Luo, Zhenghong Lin +4
OmniRAG-Agent: Agentic Omnimodal Reasoning for Low-Resource Long Audio-Video Question Answering
Yifan Zhu, Xinyu Mu, Tao Feng +3
From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning
Yichao Feng, Haoran Luo, Lang Feng +2
OdysseyArena: Benchmarking Large Language Models For Long-Horizon, Active and Inductive Interactions
Hang Yan, Fangzhi Xu, Qiushi Sun +14
Maximal 3-wise Intersecting Families with Minimum Size: the Odd Case
József Balogh, Ce Chen, Haoran Luo
KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree Search
Haoran Luo, Haihong E, Yikai Guo +7
FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing
Mingda Zhang, Wenjin Liu, Tiesunlong Shen +5
TSVC:Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval
Shuai Lyu, Zijing Tian, Zhonghong Ou +5
Non-degenerate Hypergraphs with Exponentially Many Extremal Constructions
József Balogh, Felix Christian Clemen, Haoran Luo
ONOTE: Benchmarking Omnimodal Notation Processing for Expert-level Music Intelligence
Menghe Ma, Siqing Wei, Yuecheng Xing +5
SSL: Sweet Spot Learning for Differentiated Guidance in Agentic Optimization
Jinyang Wu, Changpeng Yang, Yuhao Shen +9
On the Salience of Low-Probability Tokens for AI-Generated Text Detection: A Multiscale Uncertainty Perspective
Yikai Guo, Bin Wang, Xilai Fan +2
Trustworthy Enhanced Multi-view Multi-modal Alzheimer's Disease Prediction with Brain-wide Imaging Transcriptomics Data
Shan Cong, Zhoujie Fan, Hongwei Liu +4
ERGeoBench:A Comprehensive Benchmark for Embodied Reasoning and Geo-localization in Multimodal Large Language Models
Kaiwen Xue, Tao Wei, Guoxin Zhang +5
LungCURE: Benchmarking Multimodal Real-World Clinical Reasoning for Precision Lung Cancer Diagnosis and Treatment
Fangyu Hao, Jiayu Yang, Yifan Zhu +14
Toward Clinically Explainable AI for Medical Diagnosis: A Foundation Model with Human-Compatible Reasoning via Reinforcement Learning
Qika Lin, Yifan Zhu, Bin Pu +14
On the maximum number of $r$-cliques in graphs free of complete $r$-partite subgraphs
József Balogh, Suyun Jiang, Haoran Luo
SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning
Jinyang Wu, Shuo Yang, Zhengxi Lu +8
The paper introduces SEED, a framework that extracts reusable natural-language skills from on-policy trajectories and distills them back into the policy to provide dense token-leve…
CAGE: Cognitive Attribution Graphs for Faithful Inline Citation Generation in Long-Form Question Answering
Zhichao Yan, Shizhao Li, Jiapu Wang +5
Graph-R1: Towards Agentic GraphRAG Framework via End-to-end Reinforcement Learning
Haoran Luo, Haihong E, Guanting Chen +8
Rethinking Scientific Modeling: Toward Physically Consistent and Simulation-Executable Programmatic Generation
Yongqing Jiang, Jianze Wang, Zhiqi Shen +5
HiFlow: Hierarchical Feedback-Driven Optimization for Constrained Long-Form Text Generation
Yifan Zhu, Guanting Chen, Bing Wei +1
On the maximum $F$-free induced subgraphs in $K_t$-free graphs
József Balogh, Ce Chen, Haoran Luo
HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning
Yu Feng, Zhen Tian, Haoran Luo +8
ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models
Haoran Luo, Haihong E, Zichen Tang +9
HAHE: Hierarchical Attention for Hyper-Relational Knowledge Graphs in Global and Local Level
Haoran Luo, Haihong E, Yuhao Yang +7
TFLEX: Temporal Feature-Logic Embedding Framework for Complex Reasoning over Temporal Knowledge Graph
Xueyuan Lin, Chengjin Xu, Haihong E +6
NQE: N-ary Query Embedding for Complex Query Answering over Hyper-Relational Knowledge Graphs
Haoran Luo, Haihong E, Yuhao Yang +6
Maestro: Reinforcement Learning to Orchestrate Hierarchical Model-Skill Ensembles
Jinyang Wu, Guocheng Zhai, Ruihan Jin +7
DHGE: Dual-View Hyper-Relational Knowledge Graph Embedding for Link Prediction and Entity Typing
Haoran Luo, Haihong E, Ling Tan +3
Maximal $3$-wise intersecting families
József Balogh, Ce Chen, Kevin Hendrey +4
EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented Generation
Yi Wang, Haoran Luo, Lu Meng +3
Token-Guard: Towards Token-Level Hallucination Control via Self-Checking Decoding
Yifan Zhu, Huiqiang Rong, Haoran Luo
BYOS: Knowledge-driven Large Language Models Bring Your Own Operating System More Excellent
Hongyu Lin, Yuchen Li, Haoran Luo +6
KGCompiler: Deep Learning Compilation Optimization for Knowledge Graph Complex Logical Query Answering
Hongyu Lin, Haoran Luo, Hanghang Cao +6
FLEX: Feature-Logic Embedding Framework for CompleX Knowledge Graph Reasoning
Xueyuan Lin, Haihong E, Gengxian Zhou +4
CP-Prompt: Composition-Based Cross-modal Prompting for Domain-Incremental Continual Learning
Yu Feng, Zhen Tian, Yifan Zhu +4
CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model
Zhengpeng Shi, Haoran Luo
MedFact: A Large-scale Chinese Dataset for Evidence-based Medical Fact-checking of LLM Responses
Tong Chen, Zimu Wang, Yiyi Miao +6
Compiler-R1: Towards Agentic Compiler Auto-tuning with Reinforcement Learning
Haolin Pan, Hongyu Lin, Haoran Luo +5
PowerAtlas: Towards Electricity-Computing Co-Scheduling for Power Systems
Kaiwen Jiang, Siya Xu, Ziyue Zhu +3
PowerAtlas is an LLM‑agent framework that jointly schedules electricity supply and computing workloads in data centers, ensuring grid operational constraints and computing service…
Ride the Wave: Precision-Allocated Sparse Attention for Smooth Video Generation
Wentai Zhang, Ronghui Xi, Shiyao Peng +4
DLink: Distilling Layer-wise and Dominant Knowledge from EEG Foundation Models
Jingyuan Wang, Zhihao Jia, Chenyu Liu +7
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning
Yu Feng, Yangli-ao Geng, Yifan Zhu +7
OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning
Shuo Yang, Jinyang Wu, Zhengxi Lu +8
Sharp threshold for the ErdÅs-Ko-Rado theorem
József Balogh, Robert A. Krueger, Haoran Luo
MUR: Momentum Uncertainty guided Reasoning for Large Language Models
Hang Yan, Fangzhi Xu, Rongman Xu +8
AwareCompiler: Agentic Context-Aware Compiler Optimization via a Synergistic Knowledge-Data Driven Framework
Hongyu Lin, Haolin Pan, Haoran Luo +5
On the maximum density of $r$-graphs in which every $(r+1)$-set spans $0$ or $2$ edges
Vishesh Jain, Haoran Luo, Dhruv Mubayi
CDTP: A Large-Scale Chinese Data-Text Pair Dataset for Comprehensive Evaluation of Chinese LLMs
Chengwei Wu, Jiapu Wang, Mingyang Gao +8