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Large Language Model (LLM) can enhance its credibility and verifiability by generating text with citations.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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The curious case of neural text degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2020 · 1904
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Dependency tree kernels for relation extraction
Aron Culotta and Jeffrey Sorensen. 2004 · 2004
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ELI5: Long form question answering
Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, and Michael Auli. 2019 · 2019
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Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al. 2020 · 2020
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AmbigQA: Answering ambiguous open-domain questions
Sewon Min, Julian Michael, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
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Hurdles to progress in long-form question answering
Kalpesh Krishna, Aurko Roy, and Mohit Iyyer. 2021 · 2021
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Mauve: Measuring the gap between neural text and human text using divergence frontiers
Krishna Pillutla, Swabha Swayamdipta, Rowan Zellers, John Thickstun, Sean Welleck, Yejin Choi, and Zaid Harchaoui. 2021 · 2021
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Retrieval augmentation reduces hallucination in conversation
Kurt Shuster, Spencer Poff, Moya Chen, Douwe Kiela, and Jason Weston. 2021 · 2021
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Xiaochuang Han and Yulia Tsvetkov. 2022 · 2022
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TRUE: Re-evaluating factual consistency evaluation
Or Honovich, Roee Aharoni, Jonathan Herzig, Hagai Taitelbaum, Doron Kukliansy, Vered Cohen, Thomas Scialom, Idan Szpektor, Avinatan Hassidim, and Yossi Matias. 2022 · 2022
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CORWA: A citation-oriented related work annotation dataset
Xiangci Li, Biswadip Mandal, and Jessica Ouyang. 2022 · 2022
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Large dual encoders are generalizable retrievers
Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernandez Abrego, Ji Ma, Vincent Zhao, Yi Luan, Keith Hall, Ming-Wei Chang, and Yinfei Yang. 2022 · 2022
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Chatgpt blog post
OpenAI. 2022 · 2022
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ASQA: Factoid questions meet long-form answers
Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, and Ming-Wei Chang. 2022 · 2022
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Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, brian ichter, Fei Xia, Ed Chi, Quoc V Le, and Denny Zhou. 2022 · 2022
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Understanding retrieval augmentation for long-form question answering
Hung-Ting Chen, Fangyuan Xu, Shane Arora, and Eunsol Choi. 2023 · 2023
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Citebench: A benchmark for scientific citation text generation
A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al. 2023 · 2023
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Llama 3 model card
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Retrieval-augmented generation for large language models: A survey
Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, Meng Wang, and Haofen Wang. 2024 · 2024
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Citation: A key to building responsible and accountable large language models
Jie Huang and Kevin Chen-Chuan Chang. 2024 · 2024
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Related work and citation text generation: A survey
Xiangci Li and Jessica Ouyang. 2024 · 2024
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Martin Funkquist, Ilia Kuznetsov, Yufang Hou, and Iryna Gurevych. 2023 · 2023
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Enabling large language models to generate text with citations
Tianyu Gao, Howard Yen, Jiatong Yu, and Danqi Chen. 2023b · 2023
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Retrieving supporting evidence for generative question answering
Siqing Huo, Negar Arabzadeh, and Charles Clarke. 2023 · 2023
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Hagrid: A human-llm collaborative dataset for generative information-seeking with attribution
Ehsan Kamalloo, Aref Jafari, Xinyu Zhang, Nandan Thakur, and Jimmy Lin. 2023 · 2023
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A survey of large language models attribution
Dongfang Li, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Ziyang Chen, Baotian Hu, Aiguo Wu, and Min Zhang. 2023 · 2023
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Evaluating verifiability in generative search engines
Nelson Liu, Tianyi Zhang, and Percy Liang. 2023 · 2023
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Knowledge graph-augmented language models for complex question answering
Priyanka Sen, Sandeep Mavadia, and Amir Saffari. 2023 · 2023
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Towards verifiable generation: A benchmark for knowledge-aware language model attribution
Xinze Li, Yixin Cao, Liangming Pan, Yubo Ma, and Aixin Sun. 2024 · 2024
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Expertqa: Expert-curated questions and attributed answers
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Attribute first, then generate: Locally-attributable grounded text generation
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“according to . . . ”: Prompting language models improves quoting from pre-training data
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Shicheng Xu, Liang Pang, Huawei Shen, Xueqi Cheng, and Tat-Seng Chua. 2024 · 2024
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Effective large language model adaptation for improved grounding and citation generation
Xi Ye, Ruoxi Sun, Sercan Ö. Arik, and Tomas Pfister. 2024 · 2024
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