Favoris ; Tweet AND Few-shot learning
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9 Documents
UKP Lab sur X : "a lightweight solution for few-shot domain-specific sentence classification: AdaSent!..."
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2023-12-09 About
Nils Reimers sur Twitter : "Cross-Lingual Text-Classification just from English Data"
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2023-07-20 About
Daniel Vila Suero sur Twitter : "Data quality is key for LLMs, but we're building Open Source LLMs with data of "unknown" quality... Introducing Alpaca GarbageCollector..."
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2023-04-05 About
Andrej Karpathy sur Twitter : "Base LLMs (non-finetuned) make very strong few-shot classifiers. Describe task in English, give few examples, read off the label probabilities on test example. No gradient-based optimization necessary. It brings a cannon to a knife fight but is fast, convenient, strong baseline." / Twitter
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2023-03-19 About
Lewis Tunstall sur Twitter : "The SetFit library for few-shot learning with Sentence Transformers now supports *multi-label text classification*..."
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2022-10-14 About
Tu Vu sur Twitter : "Enormous LMs like GPT-3 exhibit impressive few-shot performance, but w/ self-training a BERT base sized model can achieve much better results!
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2022-04-13 About
Nils Reimers sur Twitter : "Great post on SetFit"
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2022-03-31 About
Thomas Müller sur Twitter : "paper & code of a novel light-weight few-shot model based on sentence embeddings..."
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2022-03-30 About
Distill our @huggingface zero-shot classifier with your specified class names
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2021-02-23 About