Related Issues (20)
- Language Models Are Unsupervised Multitask Learners
- Training language models to follow instructions with human feedback
- Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
- SAINT+: Integrating Temporal Features for EdNet Correctness Prediction
- When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute
- Improving Language Models by Retrieving from Trillions of Tokens
- BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
- All That's 'Human' Is Not Gold: Evaluating Human Evaluation of Generated Text
- GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models
- Is GPT-3 all you need for low-data discovery in chemistry?
- TabTransformer: Tabular Data Modeling Using Contextual Embeddings
- Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets
- Clarifying Trust of Materials Property Predictions Using Neural Networks with Distribution-Specific Uncertainty Quantification
- Dynamic Visualization of High-Dimensional Data
- Sparks of Artificial General Intelligence: Early experiments with GPT-4
- Adversarial Random Forests for Density Estimation and Generative Modelling
- Designing Feature-Controlled Humanoid Antibody Discovery Libraries Using Generative Adversarial Networks
- Generative Modeling by Estimating Gradients of the Data Distribution
- Censoring Chemical Data to Mitigate Dual Use Risk
- Galactica: A Large Language Model for Science
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from ds-paper-summaries.