🔗 Who cites «StrucSum: Graph-Structured Reasoning for Long Document Extractive Summarization with LLMs»

8 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · ← back to «StrucSum: Graph-Structured Reasoning for Long Document Extractive Summarization with LLMs»

1. Stable-RAG: Mitigating Retrieval-Permutation-Induced Hallucinations in Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Qianchi Zhang, Hainan Zhang, Liang Pang, et al.2026 · 27 citations
2. FoE: Forest of Errors Makes the First Solution the Best in Large Reasoning ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Kehan Jiang, Haonan Dong, Zhaolu Kang, et al.2026 · 15 citations
3. NeuReasoner: Towards Explainable, Controllable, and Unified Reasoning via Mixture-of-NeuronsAnnual Meeting of the Association for Computational Linguistics (ACL)Haonan Dong, Kehan Jiang, Haoran Ye, et al.2026 · 13 citations
4. Understanding LLM Reasoning for Abstractive SummarizationFindings of the Association for Computational LinguisticsHaohan Yuan, Haopeng Zhang2026 · 11 citations
5. Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QAAnnual Meeting of the Association for Computational Linguistics (ACL)Justice Ou, Tinglin Huang, Yilun Zhao, et al.2026 · 4 citations

3 more papers of our library cite it; they have no page here yet.

This page in Markdown → https://md.research.elamur.ai/free/en/papers/yuan-2025-strucsum-graph-structured-reasoning-long/cited-by/