Adam Treat

NLPOSS · 2023

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Papers from Adam Treat's perspective

Ordered by how strongly the researchers Adam Treat trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Multitask Prompted Training Enables Zero-Shot Task Generalization
  2. Self-Instruct: Aligning Language Models with Self-Generated Instructions (Annual Meeting of the Association for Computational Linguistics)
  3. LoRA: Low-Rank Adaptation of Large Language Models (International Conference on Learning Representations)
  4. Verge
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Language Models are Few-Shot Learners (Neural Information Processing Systems)
  7. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  8. The Power of Scale for Parameter-Efficient Prompt Tuning
  9. A unified architecture for natural language processing: deep neural networks with multitask learning
  10. Distilling the Knowledge in a Neural Network (arXiv.org)

Their papers