🔗 Who cites «LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation»

14 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 «LLMs Know What They Need: Leveraging a Missing Information Guided Framework to Empower Retrieval-Augmented Generation»

1. SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Zijun Yao, Weijian Qi, Liangming Pan, et al.2025 · 52 citations
2. Removal of Hallucination on Hallucination: Debate-Augmented RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Wentao Hu, Wengyu Zhang, Yiyang Jiang, et al.2025 · 25 citations
3. QuCo-RAG: Quantifying Uncertainty from the Pre-training Corpus for Dynamic Retrieval-Augmented GenerationFindings of the Association for Computational LinguisticsDehai Min, Kailin Zhang, Tongtong Wu, et al.2026 · 2 citations
4. IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)JungMin Yun, YoungBin Kim2026
5. PlanE: Meta Planning of Data, Tuning, and Inference for Extractive-based LLMsFindings of the Association for Computational LinguisticsJiacheng Wang, Weiyan Zhang, Guangya Yu2026

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

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