| Explanation-based finetuning makes models more robust to spurious cues JM Ludan, Y Meng, T Nguyen, S Shah, Q Lyu, M Apidianaki, ... arXiv preprint arXiv:2305.04990, 2023 | 5 | 2023 |
| Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck JM Ludan, Q Lyu, Y Yang, L Dugan, M Yatskar, C Callison-Burch arXiv preprint arXiv:2310.19660, 2023 | 1 | 2023 |
| Understanding Generative Artificial Intelligence and Its Relationship to Copyright C Callison-Burch, A Zhu, L Dugan, A Hwang, C Callison-Burch, Q Lyu, ... Proceedings of the 13th International Joint Conference on Natural Language …, 2023 | 1 | 2023 |
| RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors L Dugan, A Hwang, F Trhlik, JM Ludan, A Zhu, H Xu, D Ippolito, ... arXiv preprint arXiv:2405.07940, 2024 | | 2024 |
| Interpretable-by-Design Text Classification with Iteratively Generated Concept Bottleneck J Magnus Ludan, Q Lyu, Y Yang, L Dugan, M Yatskar, C Callison-Burch arXiv e-prints, arXiv: 2310.19660, 2023 | | 2023 |
| Explanation-based Finetuning Makes Models More Robust to Spurious Cues J Magnus Ludan, Y Meng, T Nguyen, S Shah, Q Lyu, M Apidianaki, ... arXiv e-prints, arXiv: 2305.04990, 2023 | | 2023 |
