Fetching the paper…
Reading the bibliography…
Humankind's understanding of the world is fundamentally linked to our perception and cognition, with \emph{human languages} serving as one of the major carriers of \emph{world knowledge}.
What’s in a link: Foundations for semantic networks
William A. Woods · 1975
Earlier work this paper cites.
CYC: toward programs with common sense
Douglas B. Lenat, Ramanathan V. Guha, Karen Pittman, Dexter Pratt, and Mary Shepherd · 1990
Earlier work this paper cites.
Knowledge interchange format
Michael R. Genesereth · 1991
Earlier work this paper cites.
What is a knowledge representation?
Randall Davis, Howard E. Shrobe, and Peter Szolovits · 1993
Earlier work this paper cites.
Gene ontology: tool for the unification of biology
Michael Ashburner, Catherine A. Ball, Judith A. Blake, David Botstein, Heather Butler, J. Michael Cherry, Allan P. Davis, Kara Dolinski, Selina S. Dwight, Janan T. Eppig, Midori A. Harris, David P. Hill, Laurie Issel-Tarver, Andrew Kasarskis, Suzanna Lewis, John C. Matese, Joel E. Richardson, Martin Ringwald, Gerald M. Rubin, and Gavin Sherlock · 2000
Earlier work this paper cites.
Accessing information and services on the daml-enabled web
Grit Denker, Jerry R. Hobbs, David L. Martin, Srini Narayanan, and Richard J. Waldinger · 2001
Earlier work this paper cites.
Adapting golog for composition of semantic web services
Sheila McIlraith and Tran Cao Son · 2002
Earlier work this paper cites.
From SHIQ and RDF to OWL: the making of a web ontology language
Ian Horrocks, Peter F. Patel-Schneider, and Frank van Harmelen · 2003
Earlier work this paper cites.
The challenge of knowledge soup
John F. Sowa · 2006
Earlier work this paper cites.
The emotion machine: Commonsense thinking, artificial intelligence, and the future of the human mind
Marvin Minsky · 2007
Earlier work this paper cites.
Yago: a core of semantic knowledge
Fabian M. Suchanek, Gjergji Kasneci, and Gerhard Weikum · 2007
Earlier work this paper cites.
Babelnet: Building a very large multilingual semantic network
Roberto Navigli and Simone Paolo Ponzetto · 2010
Earlier work this paper cites.
Wikidata: a free collaborative knowledgebase
Denny Vrandecic and Markus Krötzsch · 2014
Earlier work this paper cites.
Dbpedia - A large-scale, multilingual knowledge base extracted from wikipedia
Jens Lehmann, Robert Isele, Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N. Mendes, Sebastian Hellmann, Mohamed Morsey, Patrick van Kleef, Sören Auer, and Christian Bizer · 2015
Earlier work this paper cites.
Stanislaw Jastrzebski, Damian Lesniak, and Wojciech Marian Czarnecki · 2016
Earlier work this paper cites.
Seq2seq fingerprint: An unsupervised deep molecular embedding for drug discovery
Zheng Xu, Sheng Wang, Feiyun Zhu, and Junzhou Huang · 2017
Earlier work this paper cites.
An Introduction to Description Logic
Franz Baader, Ian Horrocks, Carsten Lutz, and Ulrike Sattler · 2017
Earlier work this paper cites.
Conceptnet 5.5: An open multilingual graph of general knowledge
Robyn Speer, Joshua Chin, and Catherine Havasi · 2017
Earlier work this paper cites.
David Ha and Jürgen Schmidhuber · 2018
Earlier work this paper cites.
The study of language (6th ed.)
G. Yule · 2019
Earlier work this paper cites.
The gene ontology resource: 20 years and still going strong
The Gene Ontology Consortium · 2019
Earlier work this paper cites.
ERNIE: enhanced language representation with informative entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, and Qun Liu · 2019
Earlier work this paper cites.
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
Earlier work this paper cites.
Enhancing pre-trained language representations with rich knowledge for machine reading comprehension
An Yang, Quan Wang, Jing Liu, Kai Liu, Yajuan Lyu, Hua Wu, Qiaoqiao She, and Sujian Li · 2019
Earlier work this paper cites.
ATOMIC: an atlas of machine commonsense for if-then reasoning
Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, and Yejin Choi · 2019
Earlier work this paper cites.
Scaling laws for neural language models
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei · 2020
Earlier work this paper cites.
K-BERT: enabling language representation with knowledge graph
Weijie Liu, Peng Zhou, Zhe Zhao, Zhiruo Wang, Qi Ju, Haotang Deng, and Ping Wang · 2020
Earlier work this paper cites.
Colake: Contextualized language and knowledge embedding
Tianxiang Sun, Yunfan Shao, Xipeng Qiu, Qipeng Guo, Yaru Hu, Xuanjing Huang, and Zheng Zhang · 2020
Earlier work this paper cites.
Integrating graph contextualized knowledge into pre-trained language models
Bin He, Di Zhou, Jinghui Xiao, Xin Jiang, Qun Liu, Nicholas Jing Yuan, and Tong Xu · 2020
Earlier work this paper cites.
Pretrained encyclopedia: Weakly supervised knowledge-pretrained language model
Wenhan Xiong, Jingfei Du, William Yang Wang, and Veselin Stoyanov · 2020
Earlier work this paper cites.
Autoprompt: Eliciting knowledge from language models with automatically generated prompts
Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, and Sameer Singh · 2020
Earlier work this paper cites.
Improving multi-hop question answering over knowledge graphs using knowledge base embeddings
Apoorv Saxena, Aditay Tripathi, and Partha P. Talukdar · 2020
Earlier work this paper cites.
Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei · 2020
Earlier work this paper cites.
Measuring mathematical problem solving with the MATH dataset
Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, and Jacob Steinhardt · 2021
Earlier work this paper cites.
KG-BART: knowledge graph-augmented BART for generative commonsense reasoning
Ye Liu, Yao Wan, Lifang He, Hao Peng, and Philip S. Yu · 2021
Earlier work this paper cites.
KEPLER: A unified model for knowledge embedding and pre-trained language representation
Xiaozhi Wang, Tianyu Gao, Zhaocheng Zhu, Zhengyan Zhang, Zhiyuan Liu, Juanzi Li, and Jian Tang · 2021
Earlier work this paper cites.
Knowledge-aware zero-shot learning: Survey and perspective
Jiaoyan Chen, Yuxia Geng, Zhuo Chen, Ian Horrocks, Jeff Z. Pan, and Huajun Chen · 2021
Earlier work this paper cites.
Ontoprotein: Protein pretraining with gene ontology embedding
Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Siyuan Cheng, Haosen Hong, Shumin Deng, Qiang Zhang, Jiazhang Lian, and Huajun Chen · 2022
Cited alongside, same era.
Fifty years of prolog and beyond
Philipp Körner, Michael Leuschel, João Barbosa, Vítor Santos Costa, Verónica Dahl, Manuel V. Hermenegildo, José F. Morales, Jan Wielemaker, Daniel Diaz, and Salvador Abreu · 2022
Cited alongside, same era.
Wenhu Chen, Xueguang Ma, Xinyi Wang, and William W. Cohen · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou · 2022
Cited alongside, same era.
JAKET: joint pre-training of knowledge graph and language understanding
Donghan Yu, Chenguang Zhu, Yiming Yang, and Michael Zeng · 2022
Cited alongside, same era.
Instructprotein: Aligning human and protein language via knowledge instruction
Zeyuan Wang, Qiang Zhang, Keyan Ding, Ming Qin, Xiang Zhuang, Xiaotong Li, and Huajun Chen · 2023
Closest in time.
Trustworthy llms: a survey and guideline for evaluating large language models’ alignment
Yang Liu, Yuanshun Yao, Jean-Francois Ton, Xiaoying Zhang, Ruocheng Guo, Hao Cheng, Yegor Klochkov, Muhammad Faaiz Taufiq, and Hang Li · 2023
Closest in time.
Can knowledge graphs reduce hallucinations in llms? : A survey
Garima Agrawal, Tharindu Kumarage, Zeyad Alghami, and Huan Liu · 2023
Closest in time.
Easyedit: An easy-to-use knowledge editing framework for large language models
Peng Wang, Ningyu Zhang, Xin Xie, Yunzhi Yao, Bozhong Tian, Mengru Wang, Zekun Xi, Siyuan Cheng, Kangwei Liu, Guozhou Zheng, and Huajun Chen · 2023
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Weizhe Yuan and Pengfei Liu · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul F. Christiano, Jan Leike, and Ryan Lowe · 2022
Cited alongside, same era.
Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, and Quoc V. Le · 2022
Cited alongside, same era.
PTR: prompt tuning with rules for text classification
Xu Han, Weilin Zhao, Ning Ding, Zhiyuan Liu, and Maosong Sun · 2022
Cited alongside, same era.
Knowprompt: Knowledge-aware prompt-tuning with synergistic optimization for relation extraction
Xiang Chen, Ningyu Zhang, Xin Xie, Shumin Deng, Yunzhi Yao, Chuanqi Tan, Fei Huang, Luo Si, and Huajun Chen · 2022
Cited alongside, same era.
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
Cited alongside, same era.
Decoupling knowledge from memorization: Retrieval-augmented prompt learning
Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng, Chuanqi Tan, Fei Huang, Luo Si, and Huajun Chen · 2022
Cited alongside, same era.
Yichi Zhang, Zhuo Chen, Yin Fang, Lei Cheng, Yanxi Lu, Fangming Li, Wen Zhang, and Huajun Chen · 2023
Closest in time.
Editing large language models: Problems, methods, and opportunities
Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li, Shumin Deng, Huajun Chen, and Ningyu Zhang · 2023
Closest in time.
Weak-to-strong generalization: Eliciting strong capabilities with weak supervision
Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, Bowen Baker, Leo Gao, Leopold Aschenbrenner, Yining Chen, Adrien Ecoffet, Manas Joglekar, Jan Leike, Ilya Sutskever, and Jeff Wu · 2023
Closest in time.
Augmented language models: a survey
Grégoire Mialon, Roberto Dessì, Maria Lomeli, Christoforos Nalmpantis, Ramakanth Pasunuru, Roberta Raileanu, Baptiste Rozière, Timo Schick, Jane Dwivedi-Yu, Asli Celikyilmaz, Edouard Grave, Yann LeCun, and Thomas Scialom · 2023
Closest in time.
Toolformer: Language models can teach themselves to use tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom · 2023
Closest in time.
The rise and potential of large language model based agents: A survey
Zhiheng Xi, Wenxiang Chen, Xin Guo, Wei He, Yiwen Ding, Boyang Hong, Ming Zhang, Junzhe Wang, Senjie Jin, Enyu Zhou, Rui Zheng, Xiaoran Fan, Xiao Wang, Limao Xiong, Yuhao Zhou, Weiran Wang, Changhao Jiang, Yicheng Zou, Xiangyang Liu, Zhangyue Yin, Shihan Dou, Rongxiang Weng, Wensen Cheng, Qi Zhang, Wenjuan Qin, Yongyan Zheng, Xipeng Qiu, Xuanjing Huan, and Tao Gui · 2023
Closest in time.
Agents: An open-source framework for autonomous language agents
Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shi Qiu, Jintian Zhang, Jing Chen, Ruipu Wu, Shuai Wang, Shiding Zhu, Jiyu Chen, Wentao Zhang, Ningyu Zhang, Huajun Chen, Peng Cui, and Mrinmaya Sachan · 2023
Closest in time.
Hugginggpt: Solving AI tasks with chatgpt and its friends in huggingface
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, and Yueting Zhuang · 2023
Closest in time.
CAMEL: communicative agents for "mind" exploration of large scale language model society
Guohao Li, Hasan Abed Al Kader Hammoud, Hani Itani, Dmitrii Khizbullin, and Bernard Ghanem · 2023
Closest in time.
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
Closest in time.
A multitask, multilingual, multimodal evaluation of chatgpt on reasoning, hallucination, and interactivity
Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, Wenliang Dai, Dan Su, Bryan Wilie, Holy Lovenia, Ziwei Ji, Tiezheng Yu, Willy Chung, Quyet V. Do, Yan Xu, and Pascale Fung · 2023
Closest in time.
Exploring the feasibility of chatgpt for event extraction
Jun Gao, Huan Zhao, Changlong Yu, and Ruifeng Xu · 2023
Closest in time.
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
Closest in time.
Instructie: A chinese instruction-based information extraction dataset
Honghao Gui, Jintian Zhang, Hongbin Ye, and Ningyu Zhang · 2023
Closest in time.
Making language models better tool learners with execution feedback
Shuofei Qiao, Honghao Gui, Huajun Chen, and Ningyu Zhang · 2023
Closest in time.
Nlqxform: A language model-based question to SPARQL transformer
Ruijie Wang, Zhiruo Zhang, Luca Rossetto, Florian Ruosch, and Abraham Bernstein · 2023
Closest in time.
Reasoning with language model prompting: A survey
Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, and Huajun Chen · 2023
Closest in time.
KICGPT: large language model with knowledge in context for knowledge graph completion
Yanbin Wei, Qiushi Huang, Yu Zhang, and James T. Kwok · 2023
Closest in time.
Making large language models perform better in knowledge graph completion
Yichi Zhang, Zhuo Chen, Wen Zhang, and Huajun Chen · 2023
Closest in time.
Structure pretraining and prompt tuning for knowledge graph transfer
Wen Zhang, Yushan Zhu, Mingyang Chen, Yuxia Geng, Yufeng Huang, Yajing Xu, Wenting Song, and Huajun Chen · 2023
Closest in time.
Chatgpt evaluation on sentence level relations: A focus on temporal, causal, and discourse relations
Chunkit Chan, Jiayang Cheng, Weiqi Wang, Yuxin Jiang, Tianqing Fang, Xin Liu, and Yangqiu Song · 2023
Closest in time.
Towards graph foundation models: A survey and beyond
Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, and Chuan Shi · 2023
Closest in time.
Graphgpt: Graph instruction tuning for large language models
Jiabin Tang, Yuhao Yang, Wei Wei, Lei Shi, Lixin Su, Suqi Cheng, Dawei Yin, and Chao Huang · 2023
Closest in time.
Scaling in the service of reasoning & model-based ml, 2023
Yoshua Bengio and Edward J. Hu · 2023
Closest in time.
Structgpt: A general framework for large language model to reason over structured data
Jinhao Jiang, Kun Zhou, Zican Dong, Keming Ye, Wayne Xin Zhao, and Ji-Rong Wen · 2023
Closest in time.
Interpretability in the wild: a circuit for indirect object identification in GPT-2 small
Kevin Ro Wang, Alexandre Variengien, Arthur Conmy, Buck Shlegeris, and Jacob Steinhardt · 2023
Closest in time.
T-RAG: lessons from the LLM trenches
Masoomali Fatehkia, Ji Kim Lucas, and Sanjay Chawla · 2024
Closest in time.
Detoxifying large language models via knowledge editing
Mengru Wang, Ningyu Zhang, Ziwen Xu, Zekun Xi, Shumin Deng, Yunzhi Yao, Qishen Zhang, Linyi Yang, Jindong Wang, and Huajun Chen · 2024
Closest in time.
A comprehensive study of knowledge editing for large language models
Ningyu Zhang, Yunzhi Yao, Bozhong Tian, Peng Wang, Shumin Deng, Mengru Wang, Zekun Xi, Shengyu Mao, Jintian Zhang, Yuansheng Ni, Siyuan Cheng, Ziwen Xu, Xin Xu, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, and Huajun Chen · 2024
Closest in time.
Knowagent: Knowledge-augmented planning for llm-based agents
Yuqi Zhu, Shuofei Qiao, Yixin Ou, Shumin Deng, Ningyu Zhang, Shiwei Lyu, Yue Shen, Lei Liang, Jinjie Gu, and Huajun Chen · 2024
Closest in time.
Knowledge graphs meet multi-modal learning: A comprehensive survey
Zhuo Chen, Yichi Zhang, Yin Fang, Yuxia Geng, Lingbing Guo, Xiang Chen, Qian Li, Wen Zhang, Jiaoyan Chen, Yushan Zhu, Jiaqi Li, Xiaoze Liu, Jeff Z. Pan, Ningyu Zhang, and Huajun Chen · 2024
Closest in time.
Interpreting key mechanisms of factual recall in transformer-based language models
Ang Lv, Kaiyi Zhang, Yuhan Chen, Yulong Wang, Lifeng Liu, Ji-Rong Wen, Jian Xie, and Rui Yan · 2024
Closest in time.