Who Cited It

Exploring the Limits of Transfer Learning with a Unified Text-to-Text\n Transformer

2019 · arXiv (Cornell University) · 8,346 citations · 12 from inside this corpus

Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, Peter J. Liu

The source holds an abstract for this work, but its best open-access copy is under no open licence, which does not permit us to republish the text. Read it at the source below.

Exploring the Limits of Transfer Learning with a Unified Text-to-Text\n Transformer (2019)Exploring the Limits of Trans…Transformers: State-of-the-Art Natural Language Processing (2020)Transformers: State-of-the-Ar…On the Dangers of Stochastic Parrots (2021)On the Dangers of Stochastic …Survey of Hallucination in Natural Language Generation (2022)Survey of Hallucination in Na…Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu… (2022)Pre-train, Prompt, and Predic…CodeBERT: A Pre-Trained Model for Programming and Natural Languages (2020)CodeBERT: A Pre-Trained Model…ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning (2021)ProtTrans: Toward Understandi…Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing (2021)Domain-Specific Language Mode…A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and… (2024)A Survey on Hallucination in …WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing (2022)WavLM: Large-Scale Self-Super…TinyBERT: Distilling BERT for Natural Language Understanding (2020)TinyBERT: Distilling BERT for…RoFormer: Enhanced transformer with Rotary Position Embedding (2023)RoFormer: Enhanced transforme…A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development (2023)A Brief Overview of ChatGPT: …
12 of 12 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.
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What cites it, inside the corpus

PaperYearCited
Transformers: State-of-the-Art Natural Language Processing20208,295
On the Dangers of Stochastic Parrots20216,426
Survey of Hallucination in Natural Language Generation20224,279
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Langu…20223,836
CodeBERT: A Pre-Trained Model for Programming and Natural Languages20202,630
ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning20212,446
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing20212,146
A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and…20241,986
WavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing20221,843
TinyBERT: Distilling BERT for Natural Language Understanding20201,706
RoFormer: Enhanced transformer with Rotary Position Embedding20231,577
A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development20231,444

Links

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Topics

Topic ModelingComputer Science
Natural Language Processing TechniquesComputer Science
Multimodal Machine Learning ApplicationsComputer Science

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suspect

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  • supports9 author record(s) attached.
  • weakensNo references are recorded despite 8,346 citations. A paper this heavily cited did not cite nothing, so the record is incomplete.
  • weakensThe DOI names 1910 but the record dates this to 2,019. One of the two is about a different paper.
  • supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:43+00:00.

sha256 5cad55ac5d4d41e1…