Zhang, Qinggang

10 publications

TMLR 2026 LLM-Based World Models Can Make Decisions Solely, but Rigorous Evaluations Are Needed Chang Yang, Xinrun Wang, Junzhe Jiang, Qinggang Zhang, Xiao Huang

ICLR 2026 LinearRAG: Linear Graph Retrieval Augmented Generation on Large-Scale Corpora Luyao Zhuang, Shengyuan Chen, Yilin Xiao, Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Xiao Huang

TMLR 2026 Nondeterministic Polynomial-Time Problem Challenge: An Ever-Scaling Reasoning Benchmark for LLMs Chang Yang, Ruiyu Wang, Junzhe Jiang, Qi Jiang, Qinggang Zhang, Yanchen Deng, Shuxin Li, Shuyue Hu, Bo Li, Florian T. Pokorny, Xiao Huang, Xinrun Wang

ICLR 2026 Temporal Graph Thumbnail: Robust Representation Learning with Global Evolutionary Skeleton Weining Shi, Zhisen Wen, Qinggang Zhang, Chentao Zhang, Zhihong Zhang

ICLR 2026 When to Use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation Zhishang Xiang, Chuanjie Wu, Qinggang Zhang, Shengyuan Chen, Zijin Hong, Xiao Huang, Jinsong Su

NeurIPS 2025 NeuSymEA: Neuro-Symbolic Entity Alignment via Variational Inference Shengyuan Chen, Zheng Yuan, Qinggang Zhang, Wen Hua, Jiannong Cao, Xiao Huang

ICML 2025 Structure-Guided Large Language Models for Text-to-SQL Generation Qinggang Zhang, Hao Chen, Junnan Dong, Shengyuan Chen, Feiran Huang, Xiao Huang

NeurIPS 2024 Cost-Efficient Knowledge-Based Question Answering with Large Language Models Junnan Dong, Qinggang Zhang, Chuang Zhou, Hao Chen, Daochen Zha, Xiao Huang

NeurIPS 2024 Entity Alignment with Noisy Annotations from Large Language Models Shengyuan Chen, Qinggang Zhang, Junnan Dong, Wen Hua, Qing Li, Xiao Huang

NeurIPS 2024 KnowGPT: Knowledge Graph Based Prompting for Large Language Models Qinggang Zhang, Junnan Dong, Hao Chen, Daochen Zha, Zailiang Yu, Xiao Huang