Rlprompt: Optimizing discrete text prompts with reinforcement learning M Deng, J Wang, CP Hsieh, Y Wang, H Guo, T Shu, M Song, EP Xing, ... arXiv preprint arXiv:2205.12548, 2022 | 322 | 2022 |
RULER: What's the Real Context Size of Your Long-Context Language Models? CP Hsieh, S Sun, S Kriman, S Acharya, D Rekesh, F Jia, Y Zhang, ... arXiv preprint arXiv:2404.06654, 2024 | 115 | 2024 |
Feature selection framework for XGBoost based on electrodermal activity in stress detection CP Hsieh, YT Chen, WK Beh, AYA Wu 2019 IEEE International Workshop on Signal Processing Systems (SiPS), 330-335, 2019 | 59 | 2019 |
Adapter-based extension of multi-speaker text-to-speech model for new speakers CP Hsieh, S Ghosh, B Ginsburg arXiv preprint arXiv:2211.00585, 2022 | 17 | 2022 |
Universal model in online customer service ST Pi, CP Hsieh, Q Liu, Y Zhu Companion Proceedings of the ACM Web Conference 2023, 878-885, 2023 | 4 | 2023 |
ngpt: Normalized transformer with representation learning on the hypersphere I Loshchilov, CP Hsieh, S Sun, B Ginsburg arXiv preprint arXiv:2410.01131, 2024 | 3 | 2024 |
Mr. right: multimodal retrieval on representation of image with text CA Hsieh, CP Hsieh, PJ Cheng arXiv preprint arXiv:2209.13764, 2022 | 2 | 2022 |
How much do contextualized representations encode long-range context? S Sun, CP Hsieh arXiv preprint arXiv:2410.12292, 2024 | | 2024 |
Customizing text-to-speech language models using adapters for conversational ai systems and applications CP Hsieh, S Ghosh, B Ginsburg US Patent App. 17/965,708, 2024 | | 2024 |