| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... arXiv preprint arXiv:2206.04615, 2022 | 744 | 2022 |
| Neural, Neural Everywhere: Controlled Generation Meets Scaffolded, Structured Dialogue EA Chi, C Chiam, T Chang, SK Lim, C Rastogi, A Iyabor, Y He, ... Alexa Prize Proceedings, 2021 | 10 | 2021 |
| Neural generation meets real people: Building a social, informative open-domain dialogue agent EA Chi, A Paranjape, A See, C Chiam, T Chang, K Kenealy, SK Lim, ... arXiv preprint arXiv:2207.12021, 2022 | 6 | 2022 |
| Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning T Chang, MW Sjoding, J Wiens Machine Learning for Healthcare Conference, 343-390, 2022 | 5 | 2022 |
| Lost in Transmission: On the Impact of Networking Corruptions on Video Machine Learning Models T Chang, DY Fu arXiv preprint arXiv:2206.05252, 2022 | | 2022 |
| Beyond the Pixels: Exploring the Effect of Video File Corruptions on Model Robustness T Chang, DY Fu, Y Li, C Ré | | |
