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Brian Lester

Brian Lester has 3 papers in our library, in 2021–2022, most of them on Language models & pretraining; often with Noah Constant, Rami Al-Rfou, Adams Wei Yu.

3 papers in our library · 2021–2022

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📄 3 works in our library · 🔗 Cited 3,395 times in our library · ⭐ Paper Stars ranking: #511

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 works

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

💡 Concepts 2Key ideas and methods explained on our concept pages.Fine-tuning · 1 workFew-shot learning · 1 work

 Works by year

2020s

20221 paper20212 papers

 Papers

The most cited first (OpenAlex and our library).

  1. The Power of Scale for Parameter-Efficient Prompt Tuning (2021 · 4,287 citations)
    The paper examines how to adapt a large pretrained language model to specific tasks without changing its weights.
  2. Finetuned Language Models Are Zero-Shot Learners (2021 · 1,954 citations)
    Large language models such as GPT-3 perform well when the prompt contains a few examples. Without examples, that is, in the zero-shot setting, their quality drops noticeably. The authors from Google Research propose instruction tuning: a pretrained model is fine-tuned on a mixture of tasks, each formulated as an…
  3. SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer (2022 · 306 citations)
    Prompt tuning adapts a frozen pre-trained model by learning only a short sequence of soft prompt tokens for each task.

 Co-authors here

12 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 3,395 times (of the 149,439 papers whose bibliographies we read); 577 citing papers with a page here →.

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