christian-hoang-04/

decoding-robustness-results

Mechanistic robustness evaluation results for language models under six input perturbations: character replacement, BPE-token replacement, word replacement, local token shuffle, typographical corruption, and synonym replacement. The repository is organized by model and perturbation: models////evals.csv

The qwen2.5_1.5b/adversarial directory contains the separate adversarial evaluation outputs and manifest. Failed or… See the full description on the dataset page: https://huggingface.co/datasets/christian-hoang-04/decoding-robustness-results.