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Knowledge graphs (KGs) are crucial in the field of artificial intelligence and are widely applied in downstream tasks, such as enhancing Question Answering (QA) systems.
R-vgae: Relational-variational graph autoencoder for unsupervised prerequisite chain learning
Irene Z Li, Alexander R. Fabbri, Swapnil Hingmire, and Dragomir R. Radev. 2020 · 2004
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Deepwalk: online learning of social representations
Bryan Perozzi, Rami Al-Rfou, and Steven S. Skiena. 2014 · 2014
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Wikidata: a free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch. 2014 · 2014
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The goldilocks principle: Reading children’s books with explicit memory representations
Felix Hill, Antoine Bordes, Sumit Chopra, and Jason Weston. 2015 · 2015
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Generating quiz questions from knowledge graphs
Dominic Seyler, Mohamed Yahya, and Klaus Berberich. 2015 · 2015
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node2vec: Scalable feature learning for networks
Aditya Grover and Jure Leskovec. 2016 · 2016
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Yi Luan, Luheng He, Mari Ostendorf, and Hannaneh Hajishirzi. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Kg-covid-19: A framework to produce customized knowledge graphs for covid-19 response
Justin T. Reese, Deepak R. Unni, Tiffany J. Callahan, Luca Cappelletti, Vida Ravanmehr, Seth Carbon, Tommaso Fontana, Hannah Blau, Nicolas Matentzoglu, Nomi L. Harris, Monica C. Munoz-Torres, Peter N. Robinson, marcin p. joachimiak, and Chris J. Mungall. 2020 · 2020
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Phrase2vec: Phrase embedding based on parsing
Yongliang Wu, Shuliang Zhao, and Wenbin Li. 2020 · 2020
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Exploring automated question answering methods for teaching assistance
Brian Zylich, Adam Viola, Brokk Toggerson, Lara Al-Hariri, and Andrew S. Lan. 2020 · 2020
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Automatic grading tool for jupyter notebooks in artificial intelligence courses
Cristian D. González-Carrillo, Felipe Restrepo-Calle, Jhon Jairo Ramírez-Echeverry, and Fabio A. González. 2021 · 2021
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Unsupervised cross-domain prerequisite chain learning using variational graph autoencoders
Irene Li, Vanessa Yan, Tianxiao Li, Rihao Qu, and Dragomir R. Radev. 2021 · 2021
Cited alongside, same era.
Bertopic: Neural topic modeling with a class-based tf-idf procedure
Maarten R. Grootendorst. 2022 · 2022
Cited alongside, same era.
Towards building live open scientific knowledge graphs
Anh Le-Tuan, Carlos Franzreb, Sonja Schimmler, and Manfred Hauswirth. 2022 · 2022
Cited alongside, same era.
Challenging the assumption of structure-based embeddings in few- and zero-shot knowledge graph completion
Jiawei Sheng, Shu Guo, Zhenyu Chen, Juwei Yue, Lihong Wang, and Tingwen Liu. 2022 · 2022
Cited alongside, same era.
Chain of thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Ed Huai hsin Chi, F. Xia, Quoc Le, and Denny Zhou. 2022 · 2022
Scientific knowledge graph creation and analysis
Aparna Kalla, R Shailesh, S. Preetha, Snehal Chandra, and Sudeepa Roy. 2023 · 2023
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Chepuri Shri Krishna. 2023 · 2023
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G-eval: Nlg evaluation using gpt-4 with better human alignment
Yang Liu, Dan Iter, Yichong Xu, Shuo Wang, Ruochen Xu, and Chenguang Zhu. 2023 · 2023
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Qingyu Lu, Baopu Qiu, Liang Ding, Liping Xie, and Dacheng Tao. 2023 · 2023
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Cited alongside, same era.
Fantastic questions and where to find them: Fairytaleqa – an authentic dataset for narrative comprehension
Ying Xu, Dakuo Wang, Mo Yu, Daniel Ritchie, Bingsheng Yao, Tongshuang Sherry Wu, Zheng Zhang, Toby Jia-Jun Li, Nora Bradford, Branda Sun, Tran Bao Hoang, Yisi Sang, Yufang Hou, Xiaojuan Ma, Diyi Yang, Nanyun Peng, Zhou Yu, and Mark Warschauer. 2022 · 2022
Cited alongside, same era.
Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
Cited alongside, same era.
Pubgraph: A large-scale scientific knowledge graph
Kian Ahrabian, Xinwei Du, Richard Delwin Myloth, Arun Baalaaji Sankar Ananthan, and Jay Pujara. 2023 · 2023
Cited alongside, same era.
Knowledge-augmented language model prompting for zero-shot knowledge graph question answering
Jinheon Baek, Alham Fikri Aji, and Amir Saffari. 2023 · 2023
Cited alongside, same era.
Iterative zero-shot llm prompting for knowledge graph construction
Salvatore M. Carta, Alessandro Giuliani, Lee Cecilia piano, Alessandro Sebastian Podda, Livio Pompianu, and Sandro Gabriele Tiddia. 2023 · 2023
Cited alongside, same era.
Incorporating structured sentences with time-enhanced bert for fully-inductive temporal relation prediction
Zhongwu Chen, Chengjin Xu, Fenglong Su, Zhen Huang, and Yong Dou. 2023 · 2023
Cited alongside, same era.
Chata: Towards an intelligent question-answer teaching assistant using open-source llms
Yann Hicke, Anmol Agarwal, Qianou Ma, and Paul Denny. 2023 · 2023
Cited alongside, same era.
Chaitanya Malaviya, Subin Lee, Sihao Chen, Elizabeth Sieber, Mark Yatskar, and Dan Roth. 2023 · 2023
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Nlpbench: Evaluating large language models on solving nlp problems
Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, and Irene Li. 2023 · 2023
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Embedchain: The open source rag framework
Deshraj Yadav Taranjeet Singh. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
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Llms for knowledge graph construction and reasoning: Recent capabilities and future opportunities
Yuqi Zhu, Xiaohan Wang, Jing Chen, Shuofei Qiao, Yixin Ou, Yunzhi Yao, Shumin Deng, Huajun Chen, and Ningyu Zhang. 2023 · 2023
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Large language models on wikipedia-style survey generation: an evaluation in nlp concepts
Fan Gao, Hang Jiang, Rui Yang, Qingcheng Zeng, Jinghui Lu, Moritz Blum, Dairui Liu, Tianwei She, Yuang Jiang, and Irene Li. 2024 · 2024
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Comparing open-access database and traditional intensive care studies using machine learning: Bibliometric analysis study
Yuhe Ke, Rui Yang, and Nan Liu. 2024 · 2024
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