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Found 5 papers, 5 papers with code
Llama 2: Open Foundation and Fine-Tuned Chat Models
In this work, we develop and release Llama 2, a collection of pretrained and fine-tuned large language models (LLMs) ranging in scale from 7 billion to 70 billion parameters.
Ranked #2 on
Question Answering
on PubChemQA
Galactica: A Large Language Model for Science
We believe these results demonstrate the potential for language models as a new interface for science.
AxCell: Automatic Extraction of Results from Machine Learning Papers
Tracking progress in machine learning has become increasingly difficult with the recent explosion in the number of papers.
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning
Pretrained language models are promising particularly for low-resource languages as they only require unlabelled data.
Ranked #1 on
Zero-shot Cross-Lingual Document Classification
on Cross-Lingual Sentiment (CLS)- English to German - DVD
Cross-Lingual Document Classification
Document Classification
+2
Universal Language Model Fine-Tuning with Subword Tokenization for Polish
Universal Language Model for Fine-tuning [arXiv:1801. 06146] (ULMFiT) is one of the first NLP methods for efficient inductive transfer learning.
