DeepRAG: Thinking to Retrieve Step by Step for Large Language Models

Semantic parsing on freebase from question-answer pairs

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Hotpotqa: A dataset for diverse, explainable multi-hop question answering

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Language models as knowledge bases?

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Constructing a multi-hop QA dataset for comprehensive evaluation of reasoning steps

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When not to trust language models: Investigating effectiveness of parametric and non-parametric memories

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Chain-of-thought prompting elicits reasoning in large language models

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Self-rag: Learning to retrieve, generate, and critique through self-reflection

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Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi. 2023 · 2023

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Understanding retrieval augmentation for long-form question answering

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Hung-Ting Chen, Fangyuan Xu, Shane Arora, and Eunsol Choi. 2023 · 2023

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A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions

Lei Huang, Weijiang Yu, Weitao Ma, Weihong Zhong, Zhangyin Feng, Haotian Wang, Qianglong Chen, Weihua Peng, Xiaocheng Feng, Bing Qin, et al. 2023 · 2023

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Active retrieval augmented generation

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Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, and Graham Neubig. 2023 · 2023

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Question decomposition improves the faithfulness of model-generated reasoning

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Ansh Radhakrishnan, Karina Nguyen, Anna Chen, Carol Chen, Carson Denison, Danny Hernandez, Esin Durmus, Evan Hubinger, Jackson Kernion, Kamilė Lukošiūtė, et al. 2023 · 2023

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Do large language models know what they don’t know?

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Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, and Xuanjing Huang. 2023 · 2023

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Siren’s song in the ai ocean: A survey on hallucination in large language models

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Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, Longyue Wang, Anh Tuan Luu, Wei Bi, Freda Shi, and Shuming Shi. 2023 · 2023

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Influence of external information on large language models mirrors social cognitive patterns

Ning Bian, Hongyu Lin, Peilin Liu, Yaojie Lu, Chunkang Zhang, Ben He, Xianpei Han, and Le Sun. 2024 · 2024

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Unified active retrieval for retrieval augmented generation

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Qinyuan Cheng, Xiaonan Li, Shimin Li, Qin Zhu, Zhangyue Yin, Yunfan Shao, Linyang Li, Tianxiang Sun, Hang Yan, and Xipeng Qiu. 2024 · 2024

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The llama 3 herd of models

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Qwen2 technical report

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An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, and Zhihao Fan. 2024 · 2024

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Benchmarking knowledge boundary for large language model: A different perspective on model evaluation

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Xunjian Yin, Xu Zhang, Jie Ruan, and Xiaojun Wan. 2024 · 2024

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Auto-rag: Autonomous retrieval-augmented generation for large language models

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Tian Yu, Shaolei Zhang, and Yang Feng. 2024 · 2024

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Inference scaling for long-context retrieval augmented generation