Who Cited It

Language Models as Knowledge Bases?

2019 · 1,798 citations · 8 from inside this corpus

Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander Miller

Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander Miller. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.

Language Models as Knowledge Bases? (2019)Language Models as Knowledge …Long Short-Term Memory (1997)Long Short-Term MemoryExploiting Generative AI to Scale up Intelligent Tutoring Systems (2023)Exploiting Generative AI to S…AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S… (2018)AI-Assisted Pipeline for Dyna…BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (2019)BERT: Pre-training of Deep Bi…SQuAD: 100,000+ Questions for Machine Comprehension of Text (2016)SQuAD: 100,000+ Questions for…Translating Embeddings for Modeling Multi-relational Data (2013)Translating Embeddings for Mo…GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding (2018)GLUE: A Multi-Task Benchmark …Transformer-XL: Attentive Language Models beyond a Fixed-Length Context (2019)Transformer-XL: Attentive Lan…A neural probabilistic language model (2003)A neural probabilistic langua…Recurrent Neural Network Regularization (2014)Recurrent Neural Network Regu…Natural Questions: A Benchmark for Question Answering Research (2019)Natural Questions: A Benchmar…A Review of Relational Machine Learning for Knowledge Graphs (2015)A Review of Relational Machin…Reading Wikipedia to Answer Open-Domain Questions (2017)Reading Wikipedia to Answer O…Don't count, predict! A systematic comparison of context-counting vs. context-predicting … (2014)Don't count, predict! A syste…Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe… (2019)Explainable Artificial Intell…Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu… (2022)Pre-train, Prompt, and Predic…Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Met… (2026)Affordance-Compiled Intellige…A Survey on Knowledge Graphs: Representation, Acquisition, and Applications (2021)A Survey on Knowledge Graphs:…CodeBERT: A Pre-Trained Model for Programming and Natural Languages (2020)CodeBERT: A Pre-Trained Model…On the Opportunities and Risks of Foundation Models (2021)On the Opportunities and Risk…A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and… (2024)A Survey on Hallucination in …Pre-trained models for natural language processing: A survey (2020)Pre-trained models for natura…
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What this paper cites, inside the corpus

PaperYearCited
Long Short-Term Memory1997101,359
Exploiting Generative AI to Scale up Intelligent Tutoring Systems202379,071
AI-Assisted Pipeline for Dynamic Generation of Trustworthy Health Supplement Content at S…201846,036
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding201933,416
SQuAD: 100,000+ Questions for Machine Comprehension of Text20166,435
Translating Embeddings for Modeling Multi-relational Data20135,188
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding20184,055
Transformer-XL: Attentive Language Models beyond a Fixed-Length Context20193,202
A neural probabilistic language model20032,675
Recurrent Neural Network Regularization20142,289
Natural Questions: A Benchmark for Question Answering Research20192,095
A Review of Relational Machine Learning for Knowledge Graphs20151,681
Reading Wikipedia to Answer Open-Domain Questions20171,454
Don't count, predict! A systematic comparison of context-counting vs. context-predicting …20141,388

What cites it, inside the corpus

PaperYearCited
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challe…20199,796
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…20223,836
Affordance-Compiled Intelligence: Observable-Only Cognitive Impedance Matching for No-Met…20263,059
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications20212,862
CodeBERT: A Pre-Trained Model for Programming and Natural Languages20202,630
On the Opportunities and Risks of Foundation Models20212,265
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and…20241,986
Pre-trained models for natural language processing: A survey20201,521

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Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Data Quality and ManagementDecision Sciences

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complete

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  • supports7 author record(s) attached.
  • supports45 reference(s) recorded.
  • neutralThe DOI carries no year to check against.
  • supportsA title is present.

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