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 | 121 | 2021 |
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 | 23 | 2023 |
Er-test: Evaluating explanation regularization methods for language models B Joshi, A Chan, Z Liu, S Nie, M Sanjabi, H Firooz, X Ren arXiv preprint arXiv:2205.12542, 2022 | 13* | 2022 |
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 | 10 | 2022 |
SCORE: A framework for Self-Contradictory Reasoning Evaluation Z Liu, I Lee, Y Du, S Sanyal, J Zhao arXiv preprint arXiv:2311.09603, 2023 | 3 | 2023 |
InterIntent: Investigating Social Intelligence of LLMs via Intention Understanding in an Interactive Game Context Z Liu, A Anand, P Zhou, J Huang, J Zhao arXiv preprint arXiv:2406.12203, 2024 | 1 | 2024 |