GitHub - inverse-scaling/prize: A prize for finding tasks that cause large language models to show inverse scaling

Linking pages

Linked pages

[2005.14165] Language Models are Few-Shot Learners https://arxiv.org/abs/2005.14165 201 comments
Home \ Anthropic https://www.anthropic.com/ 46 comments
Aligning language models to follow instructions https://openai.com/blog/instruction-following/ 11 comments
Google Colab https://research.google.com/colaboratory/faq.html#usage-limits 7 comments
[2109.07958] TruthfulQA: Measuring How Models Mimic Human Falsehoods https://arxiv.org/abs/2109.07958 7 comments
[2105.11447] True Few-Shot Learning with Language Models https://arxiv.org/abs/2105.11447 7 comments
[2106.13219] Towards Understanding and Mitigating Social Biases in Language Models https://arxiv.org/abs/2106.13219 2 comments
https://irmckenzie.co.uk/round2 1 comment
[2204.05862] Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback https://arxiv.org/abs/2204.05862 1 comment
[2203.15556] Training Compute-Optimal Large Language Models https://arxiv.org/abs/2203.15556 0 comments
[2001.08361] Scaling Laws for Neural Language Models https://arxiv.org/abs/2001.08361 0 comments
[2204.02311] PaLM: Scaling Language Modeling with Pathways https://arxiv.org/abs/2204.02311 0 comments
GitHub - google/BIG-bench: Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models https://github.com/google/BIG-bench 0 comments
[2102.01293] Scaling Laws for Transfer https://arxiv.org/abs/2102.01293 0 comments
[2206.04615] Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models https://arxiv.org/abs/2206.04615 0 comments
[1606.06031] The LAMBADA dataset: Word prediction requiring a broad discourse context https://arxiv.org/abs/1606.06031 0 comments