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FAIR-RAG: Faithful Adaptive Iterative Refinement for Retrieval-Augmented Generation
2025Mohammad Aghajani Asl, Majid Asgari-Bidhendi et al.
[2]
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2025Jinchang Luo, Mingquan Cheng et al.
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2025Md Mahadi Hasan Nahid, Davood Rafiei
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2025Jaewan Park, Solbee Cho et al.
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Demystifying deep search: a holistic evaluation with hint-free multi-hop questions and factorised metrics
2025Maojia Song, Renhang Liu et al.
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Cognitive Load Limits in Large Language Models: Benchmarking Multi-Hop Reasoning
2025Sai Teja Reddy Adapala
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Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?
2025Wenxuan Shen, Mingjia Wang et al.
[8]
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2025Ali Shiraee Kasmaee, Mohammad Khodadad et al.
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2025Sangwoo Park, Jinheon Baek et al.
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Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs
2025Yangning Li, Weizhi Zhang et al.
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2025Yilun Zhang
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2025Rui Li, Quanyu Dai et al.
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2025Zheng Chu, Huiming Fan et al.
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2025Diji Yang, Linda Zeng et al.
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Founder's Pitch

"Build a robust, iterative retrieval-augmented AI tool for scientific multi-hop question answering."

Scientific Question AnsweringScore: 7View PDF ↗

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0-10 scale

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3/4 signals

7.5

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3/4 signals

7.5

Series A Potential

3/4 signals

7.5

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