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01/31/2023
Scaling laws for single-agent reinforcement learning
Recent work has shown that, in generative modeling, cross-entropy loss i...
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03/04/2022
Training language models to follow instructions with human feedback
Making language models bigger does not inherently make them better at fo...
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10/27/2021
Training Verifiers to Solve Math Word Problems
State-of-the-art language models can match human performance on many tas...
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09/08/2021
TruthfulQA: Measuring How Models Mimic Human Falsehoods
We propose a benchmark to measure whether a language model is truthful i...
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03/29/2021
Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark
The NeurIPS 2020 Procgen Competition was designed as a centralized bench...
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12/03/2019
