# qijimrc/robust

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## Links

- GitHub: https://github.com/qijimrc/ROBUST
- awesome-repositories: https://awesome-repositories.com/repository/qijimrc-robust.md

## Description

The robustness to distribution changes ensures that NLP models can be successfully applied in the realistic world, especially for information extraction tasks. However, most prior evaluation benchmarks have been devoted to validating pairwise matching correctness, ignoring the crucial validation…

## Tags

### Part of an Awesome List

- [Evaluation and Benchmarking](https://awesome-repositories.com/f/awesome-lists/ai/evaluation-and-benchmarking.md) — Robustness evaluation for open information extraction systems.