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07/27/2023
Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback
Reinforcement learning from human feedback (RLHF) is a technique for tra...
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03/28/2023
Training Language Models with Language Feedback at Scale
Pretrained language models often generate outputs that are not in line w...
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03/28/2023
Improving Code Generation by Training with Natural Language Feedback
The potential for pre-trained large language models (LLMs) to use natura...
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08/01/2022
Few-shot Adaptation Works with UnpredicTable Data
Prior work on language models (LMs) shows that training on a large numbe...
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04/29/2022
Training Language Models with Natural Language Feedback
Pretrained language models often do not perform tasks in ways that are i...
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02/10/2022
Instance-wise algorithm configuration with graph neural networks
We present our submission for the configuration task of the Machine Lear...
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09/10/2020