A deep-learning framework for multi-level peptide–protein interaction prediction Y Lei, S Li, Z Liu, F Wan, T Tian, S Li, D Zhao, J Zeng Nature communications 12 (1), 5465, 2021 | 68 | 2021 |
Er-test: Evaluating explanation regularization methods for language models B Joshi, A Chan, Z Liu, S Nie, M Sanjabi, H Firooz, X Ren Findings of the Association for Computational Linguistics: EMNLP 2022, 3315-3336, 2022 | 4* | 2022 |
Are Machine Rationales (Not) Useful to Humans? Measuring and Improving Human Utility of Free-Text Rationales B Joshi, Z Liu, S Ramnath, A Chan, Z Tong, S Nie, Q Wang, Y Choi, X Ren arXiv preprint arXiv:2305.07095, 2023 | 2 | 2023 |
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models DH Lee, A Kadakia, B Joshi, A Chan, Z Liu, K Narahari, T Shibuya, ... arXiv preprint arXiv:2210.16978, 2022 | 1 | 2022 |