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In recent years, Natural Language Processing (NLP) has played a significant role in various Artificial Intelligence (AI) applications such as chatbots, text generation, and language translation.
Ernie: Enhanced language representation with informative entities, 2019
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, and Qun Liu · 1905
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Knowledge enhanced contextual word representations, 2019
Matthew E. Peters, Mark Neumann, Robert L. Logan IV au2, Roy Schwartz, Vidur Joshi, Sameer Singh, and Noah A. Smith · 1909
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K-bert: Enabling language representation with knowledge graph, 2019
Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, and Ping Wang · 1909
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Exploring the limits of transfer learning with a unified text-to-text transformer, 2023
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu · 1910
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WordNet: An electronic lexical database
Christiane Fellbaum · 1998
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Luke: Deep contextualized entity representations with entity-aware self-attention, 2020
Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, and Yuji Matsumoto · 2010
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Conceptnet 5.5: An open multilingual graph of general knowledge
Robyn Speer, Joshua Chin, and Catherine Havasi · 2017
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Improving language understanding by generative pre-training
Alec Radford, Karthik Narasimhan, Tim Salimans, Ilya Sutskever, et al · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding, 2019
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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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
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Knowledge enhanced pretrained language models: A compreshensive survey, 2021
Xiaokai Wei, Shen Wang, Dejiao Zhang, Parminder Bhatia, and Andrew Arnold · 2021
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Cokebert: Contextual knowledge selection and embedding towards enhanced pre-trained language models
Yusheng Su, Xu Han, Zhengyan Zhang, Yankai Lin, Peng Li, Zhiyuan Liu, Jie Zhou, and Maosong Sun · 2021
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Krisp: Integrating implicit and symbolic knowledge for open-domain knowledge-based vqa
Kenneth Marino, Xinlei Chen, Devi Parikh, Abhinav Gupta, and Marcus Rohrbach · 2021
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A survey on knowledge-enhanced pre-trained language models, 2022
Chaoqi Zhen, Yanlei Shang, Xiangyu Liu, Yifei Li, Yong Chen, and Dell Zhang · 2022
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Qa-gnn: Reasoning with language models and knowledge graphs for question answering, 2022
Michihiro Yasunaga, Hongyu Ren, Antoine Bosselut, Percy Liang, and Jure Leskovec · 2022
Cited alongside, same era.
What has been enhanced in my knowledge-enhanced language model?, 2022
Yifan Hou, Guoji Fu, and Mrinmaya Sachan · 2022
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A survey of knowledge enhanced pre-trained language models
Linmei Hu, Zeyi Liu, Ziwang Zhao, Lei Hou, Liqiang Nie, and Juanzi Li · 2023
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Bear: Revolutionizing service domain knowledge graph construction with llm
Shuang Yu, Tao Huang, Mingyi Liu, and Zhongjie Wang · 2023
Cited alongside, same era.
To transformers and beyond: Large language models for the genome, nov 2023
Micaela E. Consens, Cameron Dufault, Michael Wainberg, Duncan Forster, Mehran Karimzadeh, Hani Goodarzi, Fabian J. Theis, Alan Moses, and Bo Wang · 2023
Give us the facts: Enhancing large language models with knowledge graphs for fact-aware language modeling
Linyao Yang, Hongyang Chen, Zhao Li, Xiao Ding, and Xindong Wu · 2024
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Investigating the challenges and prospects of construction models for dynamic knowledge graphs
Maha Farghaly, Mahmoud Mounir, Mostafa Aref, and Sherin M. Moussa · 2024
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Research trends for the interplay between large language models and knowledge graphs, 2024
Hanieh Khorashadizadeh, Fatima Zahra Amara, Morteza Ezzabady, Frédéric Ieng, Sanju Tiwari, Nandana Mihindukulasooriya, Jinghua Groppe, Soror Sahri, Farah Benamara, and Sven Groppe · 2024
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Gemini: A family of highly capable multimodal models, 2024
Gemini Team · 2024
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Using dynamic knowledge graphs to detect emerging communities of knowledge
Joao T. Aparicio, Elisabete Arsenio, Francisco Santos, and Rui Henriques · 2024
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Gpt-4v (ision) system card
R OpenAI · 2023
Cited alongside, same era.
A comprehensive survey on automatic knowledge graph construction, 2023
Lingfeng Zhong, Jia Wu, Qian Li, Hao Peng, and Xindong Wu · 2023
Cited alongside, same era.
Knowledge-augmented language model prompting for zero-shot knowledge graph question answering, 2023
Jinheon Baek, Alham Fikri Aji, and Amir Saffari · 2023
Cited alongside, same era.
Knowledge graph-augmented language models for complex question answering
Priyanka Sen, Sandeep Mavadia, and Amir Saffari · 2023
Cited alongside, same era.
Kicgpt: Large language model with knowledge in context for knowledge graph completion
Yanbin Wei, Qiushi Huang, Yu Zhang, and James Kwok · 2023
Cited alongside, same era.
Knowledge solver: Teaching llms to search for domain knowledge from knowledge graphs, 2023
Chao Feng, Xinyu Zhang, and Zichu Fei · 2023
Cited alongside, same era.
Lmexplainer: a knowledge-enhanced explainer for language models, 2023
Zichen Chen, Ambuj K Singh, and Misha Sra · 2023
Cited alongside, same era.
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Acemap: Knowledge discovery through academic graph, 2024
Xinbing Wang, Luoyi Fu, Xiaoying Gan, Ying Wen, Guanjie Zheng, Jiaxin Ding, Liyao Xiang, Nanyang Ye, Meng Jin, Shiyu Liang, Bin Lu, Haiwen Wang, Yi Xu, Cheng Deng, Shao Zhang, Huquan Kang, Xingli Wang, Qi Li, Zhixin Guo, Jiexing Qi, Pan Liu, Yuyang Ren, Lyuwen Wu, Jungang Yang, Jianping Zhou, and Chenghu Zhou · 2024
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Drak: Unlocking molecular insights with domain-specific retrieval-augmented knowledge in llms
Jinzhe Liu, Xiangsheng Huang, Zhuo Chen, and Yin Fang · 2024
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Armin Toroghi, Willis Guo, Mohammad Mahdi Abdollah Pour, and Scott Sanner · 2024
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Yuwei Xia, Ding Wang, Qiang Liu, Liang Wang, Shu Wu, and Xiaoyu Zhang · 2024
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Vamsi Krishna Kommineni, Birgitta König-Ries, and Sheeba Samuel · 2024
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Lang Cao, Jimeng Sun, and Adam Cross · 2024
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Automated construction of theme-specific knowledge graphs
Linyi Ding, Sizhe Zhou, Jinfeng Xiao, and Jiawei Han · 2024
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Yuexin Li, Chengyu Huang, Shumin Deng, Mei Lin Lock, Tri Cao, Nay Oo, Bryan Hooi, and Hoon Wei Lim · 2024
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Linyao Yang, Hongyang Chen, Zhao Li, Xiao Ding, and Xindong Wu · 2024
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