Calibrating language models via augmented prompt ensembles M Jiang, Y Ruan, S Huang, S Liao, S Pitis, RB Grosse, J Ba ICML 2023 Workshop on Deployable Generative AI, 2023 | 20 | 2023 |
Sentence embedding encoders are easy to steal but hard to defend A Dziedzic, F Boenisch, M Jiang, H Duan, N Papernot CISPA; ICLR 2023 Workshop on Trustworthy ML, 2023 | 7 | 2023 |
Graph-based Uncertainty Metrics for Long-form Language Model Outputs M Jiang, Y Ruan, P Sattigeri, S Roukos, T Hashimoto NeurIPS 2024 (Spotlight), 2024 | 1 | 2024 |
-PO: Generalizing Preference Optimization with -divergence Minimization J Han, M Jiang, Y Song, J Leskovec, S Ermon, M Xu arXiv preprint arXiv:2410.21662, 2024 | | 2024 |
Calibrating Language Models via Augmented Prompt Ensembles. 2023 M Jiang, Y Ruan, S Huang, S Liao, S Pitis, RB Grosse, J Ba | | 2023 |
Stealing and Defending Transformer-based Encoders A Dziedzic, F Boenisch, M Jiang, H Duan, N Papernot | | |