| Are Emergent Abilities in Large Language Models just In-Context Learning? S Lu, I Bigoulaeva, R Sachdeva, HT Madabushi, I Gurevych arXiv preprint arXiv:2309.01809, 2023 | 30 | 2023 |
| Evaluating the ChatGPT family of models for biomedical reasoning and classification S Chen, Y Li, S Lu, H Van, HJWL Aerts, GK Savova, DS Bitterman Journal of the American Medical Informatics Association 31 (4), 940-948, 2024 | 28 | 2024 |
| Predicting translation behaviors by using Hidden Markov Model S Lu, M Carl, X Yao, W Su Translation, Cognition & Behavior 3 (1), 76-99, 2020 | 5 | 2020 |
| Hesitation, orientation, and flow: A taxonomy for deep temporal translation architectures M Carl, Y Wei, S Lu, L Zou, T Mizowaki, M Yamada Ampersand, 100164, 2024 | 1 | 2024 |
| Measuring Pointwise 𝒱-Usable Information In-Context-ly S Lu, S Chen, Y Li, D Bitterman, G Savova, I Gurevych Findings of the Association for Computational Linguistics: EMNLP 2023, 15739 …, 2023 | 1 | 2023 |
| How are Prompts Different in Terms of Sensitivity? S Lu, H Schuff, I Gurevych arXiv preprint arXiv:2311.07230, 2023 | 1 | 2023 |
| What Can Natural Language Processing Do for Peer Review? I Kuznetsov, OM Afzal, K Dercksen, N Dycke, A Goldberg, T Hope, D Hovy, ... arXiv preprint arXiv:2405.06563, 2024 | | 2024 |
