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Edit Distance Robust Watermarks for Language Models
The dataset used in the paper is a language model output, which is a sequence of tokens generated by a language model. -
Llama: Open and efficient foundation language models
The LLaMA dataset is a large language model dataset used in the paper. -
Fine-tuning Language Models with Advantage-Induced Policy Alignment
The dataset used in the paper is the Anthropic Helpfulness and Harmlessness dataset and the StackExchange dataset. -
BERT: Pre-training of deep bidirectional transformers for language understanding
This paper proposes BERT, a pre-trained deep bidirectional transformer for language understanding. -
SHP dataset
The SHP dataset is used to evaluate the performance of the proposed Compositional Preference Models (CPMs). -
HH-RLHF dataset
The HH-RLHF dataset is used to evaluate the performance of the proposed Compositional Preference Models (CPMs). -
Training Language Models to Perform Tasks
A dataset for training language models to perform tasks such as question answering and text classification. -
Interpreting Learned Feedback Patterns in Large Language Models
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a condensed representation of LLM activations obtained from sparse...
