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Large Language Models (LLMs) have taken Knowledge Representation -- and the world -- by storm.
Eliza—a computer program for the study of natural language communication between man and machine
Joseph Weizenbaum · 1966
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A theory for record linkage
I. P. Fellegi and A. B. Sunter · 1969
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Web Ontology Reasoning with Datatype Groups
Jeff Z. Pan and Ian Horrocks · 2003
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Commonsense reasoning in and over natural language
Hugo Liu and Push Singh · 2004
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Dbpedia: A nucleus for a web of open data
Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary Ives · 2007
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Duplicate record detection: A survey
Ahmed K. Elmagarmid, Panagiotis G. Ipeirotis, and Vassilios S. Verykios · 2007
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Yago: a core of semantic knowledge
Fabian M. Suchanek, Gjergji Kasneci, and Gerhard Weikum · 2007
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OWL 2: The next step for OWL
Bernardo Cuenca Grau, Ian Horrocks, Boris Motik, Bijan Parsia, Peter F. Patel-Schneider, and Ulrike Sattler · 2008
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Natural Language Directed Inference from Ontologie"
Chris Mellish and Jeff Z. Pan · 2008
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Resource Description Framework
Jeff Z. Pan · 2009
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Exploring web scale language models for search query processing
Jian Huang, Jianfeng Gao, Jiangbo Miao, Xiaolong Li, Kuansan Wang, Fritz Behr, and C. Lee Giles · 2010
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Information extraction from web-scale n-gram data
Niket Tandon and Gerard de Melo · 2010
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Logmap: Logic-based and scalable ontology matching
Ernesto Jiménez-Ruiz and Bernardo Cuenca Grau · 2011
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Deriving a Web-scale common sense fact database
Niket Tandon, Gerard de Melo, and Gerhard Weikum · 2011
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Amie: Association rule mining under incomplete evidence in ontological knowledge bases
Luis Antonio Galárraga, Christina Teflioudi, Katja Hose, and Fabian Suchanek · 2013
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From data fusion to knowledge fusion
Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Kevin Murphy, Shaohua Sun, and Wei Zhang · 2014
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Shape expressions: an RDF validation and transformation language
Eric Prud’hommeaux, José Emilio Labra Gayo, and Harold R. Solbrig · 2014
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Webchild: harvesting and organizing commonsense knowledge from the web
Niket Tandon, Gerard de Melo, Fabian M. Suchanek, and Gerhard Weikum · 2014
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Wikidata: A free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch · 2014
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Improving entity retrieval on structured data
Besnik Fetahu, Ujwal Gadiraju, and Stefan Dietze · 2015
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Unleashing the power of information graphs
Matteo Lissandrini, Davide Mottin, Themis Palpanas, Dimitra Papadimitriou, and Yannis Velegrakis · 2015
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Incremental knowledge base construction using deepdive
Jaeho Shin, Sen Wu, Feiran Wang, Christopher De Sa, Ce Zhang, and Christopher Ré · 2015
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WebBrain: Joint neural learning of large-scale commonsense knowledge
Jiaqiang Chen, Niket Tandon, Charles Darwis Hariman, and Gerard de Melo · 2016
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Neuro-symbolic representation learning on biological knowledge graphs
Mona Alshahrani, Mohammad Asif Khan, Omar Maddouri, Akira R Kinjo, Núria Queralt-Rosinach, and Robert Hoehndorf · 2017
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Shapes constraint language (shacl)
Holger Knublauch and Dimitris Kontokostas · 2017
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Visual genome: Connecting language and vision using crowdsourced dense image annotations
Ranjay Krishna, Yuke Zhu, Oliver Groth, Justin Johnson, Kenji Hata, Joshua Kravitz, Stephanie Chen, Yannis Kalantidis, Li-Jia Li, David A Shamma, et al · 2017
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Exploiting linked data and knowledge graphs in large organisations
Jeff Z. Pan, Guido Vetere, José Manuél Gómez-Pérez, and Honghan Wu · 2017
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Knowledge graph refinement: A survey of approaches and evaluation methods
Heiko Paulheim · 2017
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Knowledge-based Transfer Learning Explanation
Jiaoyan Chen, Freddy Lecue, Jeff Z. Pan, Ian Horrocks, and Huajun Chen · 2018
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Debiasing knowledge graphs: Why female presidents are not like female popes
Krzysztof Janowicz, Bo Yan, Blake Regalia, Rui Zhu, and Gengchen Mai · 2018
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Inferring missing categorical information in noisy and sparse web markup
Nicolas Tempelmeier, Elena Demidova, and Stefan Dietze · 2018
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Ontology-based data access: A survey
Guohui Xiao, Diego Calvanese, Roman Kontchakov, Domenico Lembo, Antonella Poggi, Riccardo Rosati, and Michael Zakharyaschev · 2018
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Navigating the maze of wikidata query logs
Angela Bonifati, Wim Martens, and Thomas Timm · 2019
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COMET: Commonsense transformers for automatic knowledge graph construction
Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, and Yejin Choi · 2019
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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
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Deducing certain fixes to graphs
Wenfei Fan, Ping Lu, Chao Tian, and Jingren Zhou · 2019
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Attention is not explanation
Sarthak Jain and Byron C. Wallace · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Man is to person as woman is to location: Measuring gender bias in named entity recognition
Ninareh Mehrabi, Thamme Gowda, Fred Morstatter, Nanyun Peng, and A. G. Galstyan · 2019
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Industry-scale knowledge graphs: lessons and challenges
Natasha Noy, Yuqing Gao, Anshu Jain, Anant Narayanan, Alan Patterson, and Jamie Taylor · 2019
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Knowledge enhanced contextual word representations
Matthew E Peters, Mark Neumann, Robert L Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, and Noah A Smith · 2019
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Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, et al · 2019
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Language Models as Knowledge Bases?
Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, and Alexander Miller · 2019
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The risk of racial bias in hate speech detection
Maarten Sap, Dallas Card, Saadia Gabriel, Yejin Choi, and Noah A. Smith · 2019
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Simple bert models for relation extraction and semantic role labeling
Peng Shi and Jimmy J. Lin · 2019
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Entity, relation, and event extraction with contextualized span representations
David Wadden, Ulme Wennberg, Yi Luan, and Hannaneh Hajishirzi · 2019
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Kg-bert: Bert for knowledge graph completion
Liang Yao, Chengsheng Mao, and Yuan Luo · 2019
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Knowmore - knowledge base augmentation with structured web markup
Ran Yu, Ujwal Gadiraju, Besnik Fetahu, Oliver Lehmberg, Dominique Ritze, and Stefan Dietze · 2019
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Mining expressive rules in knowledge graphs
Naser Ahmadi, Viet-Phi Huynh, Vamsi Meduri, Stefano Ortona, and Paolo Papotti · 2020
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Explainable artificial intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible ai
Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, A. Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, and Francisco Herrera · 2020
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Climbing towards NLU: On meaning, form, and understanding in the age of data
Emily M. Bender and Alexander Koller · 2020
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Language (technology) is power: A critical survey of “bias” in nlp
Su Lin Blodgett, Solon Barocas, Hal Daum’e, and Hanna M. Wallach · 2020
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An analytical study of large SPARQL query logs
Angela Bonifati, Wim Martens, and Thomas Timm · 2020
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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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Kgpt: Knowledge-grounded pre-training for data-to-text generation
Wenhu Chen, Yu Su, Xifeng Yan, and William Yang Wang · 2020
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Discovering graph functional dependencies
Wenfei Fan, Chunming Hu, Xueli Liu, and Ping Lu · 2020
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How can we know what language models know?
Zhengbao Jiang, Frank F Xu, Jun Araki, et al · 2020
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Semtab 2019: Resources to benchmark tabular data to knowledge graph matching systems
Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Vasilis Efthymiou, Jiaoyan Chen, and Kavitha Srinivas · 2020
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Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen tau Yih · 2020
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Negated and misprimed probes for pretrained language models: Birds can talk, but cannot fly
Nora Kassner and Hinrich Schütze · 2020
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Multi-task learning for knowledge graph completion with pre-trained language models
Bosung Kim, Taesuk Hong, Youngjoong Ko, and Jungyun Seo · 2020
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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, Sebastian Riedel, and Douwe Kiela · 2020
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Concept placement using bert trained by transforming and summarizing biomedical ontology structure
Hao Liu, Yehoshua Perl, and James Geller · 2020
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Utilizing textual information in knowledge graph embedding: A survey of methods and applications
Fengyuan Lu, Peijin Cong, and Xinli Huang · 2020
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Commonsense knowledge base completion with structural and semantic context
Chaitanya Malaviya, Chandra Bhagavatula, Antoine Bosselut, and Yejin Choi · 2020
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Stereoset: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke, and Siva Reddy · 2020
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Unik-qa: Unified representations of structured and unstructured knowledge for open-domain question answering
Barlas Oğuz, Xilun Chen, Vladimir Karpukhin, Stanislav Peshterliev, Dmytro Okhonko, M. Schlichtkrull, Sonal Gupta, Yashar Mehdad, and Scott Yih · 2020
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Visualcomet: Reasoning about the dynamic context of a still image
Jae Sung Park, Chandra Bhagavatula, Roozbeh Mottaghi, Ali Farhadi, and Yejin Choi · 2020
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Rea: Robust cross-lingual entity alignment between knowledge graphs
Shichao Pei, Lu Yu, Guoxian Yu, and Xiangliang Zhang · 2020
Cited alongside, same era.
How context affects language models’ factual predictions
Fabio Petroni, Patrick Lewis, Aleksandra Piktus, et al · 2020
Cited alongside, same era.
On the systematicity of probing contextualized word representations: The case of hypernymy in bert
Abhilasha Ravichander, Eduard Hovy, Kaheer Suleman, Adam Trischler, and Jackie Chi Kit Cheung · 2020
Cited alongside, same era.
Ergan: Generative adversarial networks for entity resolution
Jingyu Shao, Qing Wang, Asiri Wijesinghe, and Erhard Rahm · 2020
Cited alongside, same era.
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, and Sameer Singh · 2020
Cited alongside, same era.
The lifecycle of “facts”: A survey of social bias in knowledge graphs
Angelie Kraft and Ricardo Usbeck · 2022
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Promptiverse: Scalable generation of scaffolding prompts through human-ai hybrid knowledge graph annotation
Yoonjoo Lee, John Joon Young Chung, Tae Soo Kim, Jean Y. Song, and Juho Kim · 2022
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Lp-bert: Multi-task pre-training knowledge graph bert for link prediction
Da Li, Ming Yi, and Yukai He · 2022
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Language models are poor learners of directional inference
Tianyi Li, Mohammad Javad Hosseini, Sabine Weber, and Mark Steedman · 2022
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ask-specific pre-training and prompt decomposition for knowledge graph population with language models
Tianyi Li, Wenyu Huang, Nikos Papasarantopoulos, Pavlos Vougiouklis, and Jeff Z. Pan · 2022
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Zequn Sun, Qingheng Zhang, Wei Hu, Chengming Wang, Muhao Chen, Farahnaz Akrami, and Chengkai Li · 2020
Cited alongside, same era.
Pre-training is (almost) all you need: An application to commonsense reasoning
Alexandre Tamborrino, Nicola Pellicano, Baptiste Pannier, et al · 2020
Cited alongside, same era.
Pretrain-kge: Learning knowledge representation from pretrained language models
Zhiyuan Zhang, Xiaoqian Liu, Yi Zhang, Qi Su, Xu Sun, and Bin He · 2020
Cited alongside, same era.
An industry evaluation of embedding-based entity alignment
Ziheng Zhang, Hualuo Liu, Jiaoyan Chen, Xi Chen, Bo Liu, Yuejia Xiang, and Yefeng Zheng · 2020
Cited alongside, same era.
Collective multi-type entity alignment between knowledge graphs
Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, and Jiawei Han · 2020
Cited alongside, same era.
Knowledge graph based synthetic corpus generation for knowledge-enhanced language model pre-training
Oshin Agarwal, Heming Ge, Siamak Shakeri, et al · 2021
Cited alongside, same era.
On the dangers of stochastic parrots: Can language models be too big?
Emily M Bender, Timnit Gebru, Angelina McMillan-Major, et al · 2021
Cited alongside, same era.
From tabular data to knowledge graphs: A survey of semantic table interpretation tasks and methods
Jixiong Liu, Yoan Chabot, Raphaël Troncy, Viet-Phi Huynh, Thomas Labbé, and Pierre Monnin · 2022
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The biases of pre-trained language models: An empirical study on prompt-based sentiment analysis and emotion detection
Rui Mao, Qian Liu, Kai He, et al · 2022
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Memory-based model editing at scale
Eric Mitchell, Charles Lin, Antoine Bosselut, Christopher D Manning, and Chelsea Finn · 2022
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Skill: Structured knowledge infusion for large language models
Fedor Moiseev, Zhe Dong, Enrique Alfonseca, and Martin Jaggi · 2022
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Integrating knowledge graph embedding and pretrained language models in hypercomplex spaces
Mojtaba Nayyeri, Zihao Wang, Mst Akter, Mirza Mohtashim Alam, Md Rashad Al Hasan Rony, Jens Lehmann, Steffen Staab, et al · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, et al · 2022
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The “problem” of human label variation: On ground truth in data, modeling and evaluation
Barbara Plank · 2022
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Shacl and shex in the wild: A community survey on validating shapes generation and adoption
Kashif Rabbani, Matteo Lissandrini, and Katja Hose · 2022
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Large pre-trained language models contain human-like biases of what is right and wrong to do
Patrick Schramowski, Cigdem Turan, Nico Andersen, et al · 2022
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LM-KBC: Knowledge base construction from pre-trained language models
Sneha Singhania, Tuan-Phong Nguyen, and Simon Razniewski · 2022
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Predicting Document Coverage for Relation Extraction
Sneha Singhania, Simon Razniewski, and Gerhard Weikum · 2022
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Annotating columns with pre-trained language models
Yoshihiko Suhara, Jinfeng Li, Yuliang Li, Dan Zhang, Çağatay Demiralp, Chen Chen, and Wang-Chiew Tan · 2022
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SimKGC: Simple Contrastive Knowledge Graph Completion with Pre-trained Language Models
Liang Wang, Wei Zhao, Zhuoyu Wei, and Jingming Liu · 2022
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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
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A large language model for electronic health records
Xi Yang, Aokun Chen, Nima PourNejatian, Hoo Chang Shin, Kaleb E. Smith, Christopher Parisien, Colin Compas, Cheryl Martin, Anthony B. Costa, Mona G. Flores, Ying Zhang, Tanja Magoc, Christopher A. Harle, Gloria Lipori, Duane A. Mitchell, William R. Hogan, Elizabeth A. Shenkman, Jiang Bian, and Yonghui Wu · 2022
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Kg-fid: Infusing knowledge graph in fusion-in-decoder for open-domain question answering
Donghan Yu, Chenguang Zhu, Yuwei Fang, Wenhao Yu, Shuohang Wang, Yichong Xu, Xiang Ren, Yiming Yang, and Michael Zeng · 2022
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Inductive relation prediction by bert
Hanwen Zha, Zhiyu Chen, and Xifeng Yan · 2022
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Knowledge graph reasoning with logics and embeddings: survey and perspective
Wen Zhang, Jiaoyan Chen, Juan Li, Zezhong Xu, Jeff Z Pan, and Huajun Chen · 2022
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From large language models to databases and back: A discussion on research and education
Sihem Amer-Yahia, Angela Bonifati, Lei Chen, Guoliang Li, Kyuseok Shim, Jianliang Xu, and Xiaochun Yang · 2023
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Structured prompt interrogation and recursive extraction of semantics (spires): A method for populating knowledge bases using zero-shot learning
J Harry Caufield, Harshad Hegde, Vincent Emonet, Nomi L Harris, Marcin P Joachimiak, Nicolas Matentzoglu, HyeongSik Kim, Sierra AT Moxon, Justin T Reese, Melissa A Haendel, et al · 2023
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Contextual semantic embeddings for ontology subsumption prediction
Jiaoyan Chen, Yuan He, Yuxia Geng, Ernesto Jiménez-Ruiz, Hang Dong, and Ian Horrocks · 2023
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Knowledge graph extension with a pre-trained language model via unified learning method
Bonggeun Choi and Youngjoong Ko · 2023
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Complex logical reasoning over knowledge graphs using large language models
Nurendra Choudhary and Chandan K Reddy · 2023
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Measuring causal effects of data statistics on language model’s ‘factual’ predictions
Yanai Elazar, Nora Kassner, Shauli Ravfogel, Amir Feder, Abhilasha Ravichander, Marius Mosbach, Yonatan Belinkov, Hinrich Schütze, and Yoav Goldberg · 2023
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Semantics-aware dataset discovery from data lakes with contextualized column-based representation learning
Grace Fan, Jin Wang, Yuliang Li, Dan Zhang, and Renée Miller · 2023
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A Divide and Conquer Framework for Knowledge Editing
Xiaoqi Han, Ru Li, Xiaoli Li, and Jeff Z. Pan · 2023
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DeepOnto: A Python package for ontology engineering with deep learning
Yuan He, Jiaoyan Chen, Hang Dong, Ian Horrocks, Carlo Allocca, Taehun Kim, and Brahmananda Sapkota · 2023
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Language model analysis for ontology subsumption inference
Yuan He, Jiaoyan Chen, Ernesto Jiménez-Ruiz, Hang Dong, and Ian Horrocks · 2023
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Towards reasoning in large language models: A survey
Jie Huang and Kevin Chen-Chuan Chang · 2023
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Exploiting asymmetry for synthetic training data generation: Synthie and the case of information extraction
Martin Josifoski, Marija Sakota, Maxime Peyrard, and Robert West · 2023
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LM-KBC: Knowledge base construction from pre-trained language models
Jan-Christoph Kalo, Simon Razniewski, Sneha Singhania, and Jeff Z. Pan · 2023
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Large language models struggle to learn long-tail knowledge, 2023
Nikhil Kandpal, Haikang Deng, Adam Roberts, Eric Wallace, and Colin Raffel · 2023
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Column type annotation using chatgpt
Keti Korini and Christian Bizer · 2023
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Chatgpt beyond english: Towards a comprehensive evaluation of large language models in multilingual learning
Viet Dac Lai, Nghia Trung Ngo, Amir Pouran Ben Veyseh, Hieu Man, Franck Dernoncourt, Trung Bui, and Thien Huu Nguyen · 2023
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Which stereotypes are moderated and under-moderated in search engine autocompletion?
Alina Leidinger and Richard A. Rogers · 2023
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Evaluating chatgpt’s information extraction capabilities: An assessment of performance, explainability, calibration, and faithfulness
Bo Li, Gexiang Fang, Yang Yang, Quansen Wang, Wei Ye, Wen Zhao, and Shikun Zhang · 2023
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Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models
Junnan Li, Dongxu Li, Silvio Savarese, and Steven Hoi · 2023
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Decoding prompt syntax: Analysing its impact on knowledge retrieval in large language models
Stephan Linzbach, Tim Tressel, Laura Kallmeyer, Stefan Dietze, and Hajira Jabeen · 2023
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When not to trust language models: Investigating effectiveness of parametric and non-parametric memories
Alex Mallen, Akari Asai, Victor Zhong, Rajarshi Das, Daniel Khashabi, and Hannaneh Hajishirzi · 2023
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Extracting cultural commonsense knowledge at scale
Tuan-Phong Nguyen, Simon Razniewski, Aparna Varde, and Gerhard Weikum · 2023
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Gpt-4 technical report, 2023
OpenAI · 2023
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Unifying large language models and knowledge graphs: A roadmap
Shirui Pan, Linhao Luo, Yufei Wang, Chen Chen, Jiapu Wang, and Xindong Wu · 2023
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Extraction of validating shapes from very large knowledge graphs
Kashif Rabbani, Matteo Lissandrini, and Katja Hose · 2023
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Shactor: Improving the quality of large-scale knowledge graphs with validating shapes
Kashif Rabbani, Matteo Lissandrini, and Katja Hose · 2023
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A trip towards fairness: Bias and de-biasing in large language models
Leonardo Ranaldi, Elena Sofia Ruzzetti, David A. Venditti, Dario Onorati, and Fabio Massimo Zanzotto · 2023
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Subsumption prediction for e-commerce taxonomies
Jingchuan Shi, Jiaoyan Chen, Hang Dong, Ishita Khan, Lizzie Liang, Qunzhi Zhou, Zhe Wu, and Ian Horrocks · 2023
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Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, et al · 2023
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Reimagining retrieval augmented language models for answering queries
Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez, Richard James, Xi Victoria Lin, Alon Halevy, and Scott Yih · 2023
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Does synthetic data generation of llms help clinical text mining?
Ruixiang Tang, Xiaotian Han, Xiaoqian Jiang, and Xia Hu · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Evaluating language models for knowledge base completion
Blerta Veseli, Sneha Singhania, Simon Razniewski, and Gerhard Weikum · 2023
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Towards foundation models for relational databases [vision paper]
Liane Vogel, Benjamin Hilprecht, and Carsten Binnig · 2023
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Instructuie: Multi-task instruction tuning for unified information extraction
Xiao Wang, Wei Zhou, Can Zu, Han Xia, Tianze Chen, Yuan Zhang, Rui Zheng, Junjie Ye, Qi Zhang, Tao Gui, Jihua Kang, J. Yang, Siyuan Li, and Chunsai Du · 2023
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Deep learning-based relation extraction and knowledge graph-based representation of construction safety requirements
Xiyu Wang and Nora El-Gohary · 2023
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Zero-shot information extraction via chatting with chatgpt
Xiang Wei, Xingyu Cui, Ning Cheng, Xiaobin Wang, Xin Zhang, Shen Huang, Pengjun Xie, Jinan Xu, Yufeng Chen, Meishan Zhang, Yong Jiang, and Wenjuan Han · 2023
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Bloomberggpt: A large language model for finance
Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David Rosenberg, and Gideon Mann · 2023
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Kilm: Knowledge injection into encoder-decoder language models
Yang Xu, Mahdi Namazifar, Devamanyu Hazarika, Aishwarya Padmakumar, Yang Liu, and Dilek Z. Hakkani-Tür · 2023
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Chatgpt is not enough: Enhancing large language models with knowledge graphs for fact-aware language modeling
Linyao Yang, Hongyang Chen, Zhao Li, Xiao Ding, and Xindong Wu · 2023
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A complete survey on generative ai (aigc): Is chatgpt from gpt-4 to gpt-5 all you need?
Chaoning Zhang, Chenshuang Zhang, Sheng Zheng, Yu Qiao, Chenghao Li, Mengchun Zhang, Sumit Kumar Dam, Chu Myaet Thwal, Ye Lin Tun, Le Luang Huy, Donguk kim, Sung-Ho Bae, Lik-Hang Lee, Yang Yang, Heng Tao Shen, In-So Kweon, and Choong-Seon Hong · 2023
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Coffee: A contrastive oracle-free framework for event extraction
Meiru Zhang, Yixuan Su, Zaiqiao Meng, Zihao Fu, and Nigel Collier · 2023
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Transformer-based approach for automated context-aware ifc-regulation semantic information alignment
Ruichuan Zhang and Nora El-Gohary · 2023
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Large language models are human-level prompt engineers
Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, and Jimmy Ba · 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
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