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  |UIUC-RAGents|Eric Modesitt, Ke Yang, Chengxiang Zhai|[TinyUPR: Budget Constrained Query Likelihood Reranking for the SIGIR 2025 LiveRAG Challenge](SIGIR_2025_LiveRAG-Workshop_2580.pdf)
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  |Ragmatazz|Matthias Krüger, David Fisher, Scott Stults|[Ragmatazz at SIGIR 2025 LiveRAG Challenge](SIGIR_2025_LiveRAG-Workshop_2591.pdf)|
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- |BagBag|Shuailong Sang, Yourui Ye, Shimao Chu, Kun Zhang|[A multi-stage hybrid retrieval augment generation system](SIGIR_2025_LiveRAG-Workshop_2517.pdf)|
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  |UiS-IAI|Weronika Łajewska, Ivica Kostric, Gabriel Iturra-Bocaz, Mariam Arustashvili, Krisztian Balog|[UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses](https://arxiv.org/abs/2506.22210)|
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  |NoobRAG|A F M Mohimenul Joaa, Ramy Boulos, Himanshu Manoj Kaloni, Michael Färber|[NoobRAG: An Adaptive and Modular RAG System](SIGIR_2025_LiveRAG-Workshop_2648.pdf)|
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  |RAGentA|Ines Besrour, Jingbo He, Tobias Schreieder, Michael Färber|[RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering](https://arxiv.org/abs/2506.16988)|
 
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  |:----|:----|:----|
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  |UIUC-RAGents|Eric Modesitt, Ke Yang, Chengxiang Zhai|[TinyUPR: Budget Constrained Query Likelihood Reranking for the SIGIR 2025 LiveRAG Challenge](SIGIR_2025_LiveRAG-Workshop_2580.pdf)
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  |Ragmatazz|Matthias Krüger, David Fisher, Scott Stults|[Ragmatazz at SIGIR 2025 LiveRAG Challenge](SIGIR_2025_LiveRAG-Workshop_2591.pdf)|
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+ |BagBag|Shuailong Sang, Yourui Ye, Shimao Chu, Kun Zhang|[A multi-stage hybrid retrieval augment generation system](SIGIR_2025_LiveRAG-Workshop_2617.pdf)|
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  |UiS-IAI|Weronika Łajewska, Ivica Kostric, Gabriel Iturra-Bocaz, Mariam Arustashvili, Krisztian Balog|[UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses](https://arxiv.org/abs/2506.22210)|
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  |NoobRAG|A F M Mohimenul Joaa, Ramy Boulos, Himanshu Manoj Kaloni, Michael Färber|[NoobRAG: An Adaptive and Modular RAG System](SIGIR_2025_LiveRAG-Workshop_2648.pdf)|
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  |RAGentA|Ines Besrour, Jingbo He, Tobias Schreieder, Michael Färber|[RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering](https://arxiv.org/abs/2506.16988)|