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Qinggang Zhang

You Don’t Need Pre-Built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures
2026 · Shengyuan Chen, Chuang Zhou, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 5
Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning With Knowledge Graphs
2026 · Yilin Xiao, Chuang Zhou, et al. · IEEE Transactions on Knowledge and Data Engineering · 4
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LLM Collaborative Filtering: User-Item Graph as New Language
2026 · Huachi Zhou, Yujing Zhang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2
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A Systematic Survey of Self-Evolving Agents: From Model-Centric to Environment-Driven Co-Evolution
2026 · Zhishang Xiang, Chengyi Yang, et al. · SSRN Electronic Journal · 2
ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement
2026 · Hong, Zijin, Chen, Hao, et al. · arXiv (Cornell University) · 1
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NeuSymEA: Neuro-symbolic Entity Alignment via Variational Inference
2025 · Shengyuan Chen, Zheng Yuan, et al. · neural information processing systems · 1
Trajectory-Guided Forget-Recover Network for Continual LLM Unlearning
2026 · Wu, Zezheng, Cheng, Xinghe, et al. · arXiv (Cornell University)
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Zero-Mem: Zero-Token Memory Operations for LLM Agents
2026 · Xiao, Yilin, Zhu, Zhehan, et al. · arXiv (Cornell University)
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HVM-GraphRAG: Holistic-View Multimodal Graph Retrieval-Augmented Generation on Complex Document
2026 · He, Xin, Wang, Yili, et al. · arXiv (Cornell University)
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XMUDeepLIT/MemGraphRAG: initial version
2026 · wuchuanjie, Qinggang Zhang · Zenodo (CERN European Organization for Nuclear Research)
MemGraphRAG: Memory-based Multi-Agent System for Graph Retrieval-Augmented Generation
2026 · Wu, Chuanjie, Xiang, Zhishang, et al. · arXiv (Cornell University)
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LegalGraphRAG: Multi-Agent Graph Retrieval-Augmented Generation for Reliable Legal Reasoning
2026 · Chen, Zerui, Zhang, Qinggang, et al. · arXiv (Cornell University)
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LogicPoison: Logical Attacks on Graph Retrieval-Augmented Generation
2026 · Xiao, Yilin, Chen, Jin, et al. · arXiv (Cornell University)
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Augmenting Intra-Modal Understanding in MLLMs for Robust Multimodal Keyphrase Generation
2026 · Jiajun Cao, Qinggang Zhang, et al. · Proceedings of the AAAI Conference on Artificial Intelligence
Graph-based Agent Memory: Taxonomy, Techniques, and Applications
2026 · Yang, Chang, Zhou, Chuang, et al. · arXiv (Cornell University)
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Use Graph When It Needs: Efficiently and Adaptively Integrating Retrieval-Augmented Generation with Graphs
2026 · Dong, Su, Zhang, Qinggang, et al. · arXiv (Cornell University)
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LLM Collaborative Filtering: User-Item Graph as New Language
2026 · Association for Artificial Intelligence 2026, Chen, Hao, et al. · Underline Science Inc.
260 - LLM Collaborative Filtering: User-Item Graph as New Language
2026 · Association for Artificial Intelligence 2026, Chen, Hao, et al. · Underline Science Inc.
Evaluating LLMs on Conversational Text-to-SQL under Chain Ambiguity and Intent Drift
2026 · Yujia Liu, Jiayan Lin, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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Works count: 19
Citation count: 15
H-index: 2
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