Linking pages
- Thinking about High-Quality Human Data | Lil'Log https://lilianweng.github.io/posts/2024-02-05-human-data-quality/ 4 comments
- Balanced samples are good, balancing samples is bad https://simplicityissota.substack.com/p/balanced-samples-are-good-balancing 0 comments
- Adversarial Attacks on LLMs | Lil'Log https://lilianweng.github.io/posts/2023-10-25-adv-attack-llm/ 0 comments
Linked pages
- Automatic differentiation - Wikipedia https://en.wikipedia.org/wiki/Automatic_differentiation 86 comments
- What are Diffusion Models? | Lil'Log https://lilianweng.github.io/posts/2021-07-11-diffusion-models/ 18 comments
- Contrastive Representation Learning | Lil'Log https://lilianweng.github.io/posts/2021-05-31-contrastive/ 10 comments
- [2110.05448] Unsupervised Neural Machine Translation with Generative Language Models Only https://arxiv.org/abs/2110.05448 2 comments
- [1904.12848] Unsupervised Data Augmentation for Consistency Training https://arxiv.org/abs/1904.12848 2 comments
- [2109.09193] Towards Zero-Label Language Learning https://arxiv.org/abs/2109.09193 1 comment
- [1909.11764] FreeLB: Enhanced Adversarial Training for Natural Language Understanding https://arxiv.org/abs/1909.11764 0 comments
- [2108.13487] Want To Reduce Labeling Cost? GPT-3 Can Help https://arxiv.org/abs/2108.13487 0 comments
- [1909.13719] RandAugment: Practical automated data augmentation with a reduced search space https://arxiv.org/abs/1909.13719 0 comments
- Learning with not Enough Data Part 1: Semi-Supervised Learning | Lil'Log https://lilianweng.github.io/posts/2021-12-05-semi-supervised/ 0 comments
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