Linking pages
Linked pages
- [2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
- A Mathematical Framework for Transformer Circuits https://transformer-circuits.pub/2021/framework/index.html 9 comments
- [2303.08774] GPT-4 Technical Report https://arxiv.org/abs/2303.08774 1 comment
- How does in-context learning work? A framework for understanding the differences from traditional supervised learning | SAIL Blog https://ai.stanford.edu/blog/understanding-incontext/ 0 comments
- [2102.07350] Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm https://arxiv.org/abs/2102.07350 0 comments
- [2211.09066] Teaching Algorithmic Reasoning via In-context Learning https://arxiv.org/abs/2211.09066 0 comments
- [2212.07677] Transformers learn in-context by gradient descent https://arxiv.org/abs/2212.07677 0 comments
- [2211.15661] What learning algorithm is in-context learning? Investigations with linear models https://arxiv.org/abs/2211.15661 0 comments
- [2202.12837] Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? https://arxiv.org/abs/2202.12837 0 comments
- In-context Learning and Induction Heads https://transformer-circuits.pub/2022/in-context-learning-and-induction-heads/index.html 0 comments
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