| # HELMET: How to Evaluate Long-context Language Models Effectively and Thoroughly | |
| [[Paper](https://arxiv.org/abs/2410.02694)][[Code](https://github.com/princeton-nlp/HELMET)] | |
| HELMET is a comprehensive benchmark for long-context language models covering seven diverse categories of tasks. | |
| The datasets are application-centric and are designed to evaluate models at different lengths and levels of complexity. | |
| Please check out the paper for more details, and the code repo for how to process the data and run the evaluations | |