1 code implementation • 9 Apr 2024 • Cheng-Ping Hsieh, Simeng Sun, Samuel Kriman, Shantanu Acharya, Dima Rekesh, Fei Jia, Yang Zhang, Boris Ginsburg
Despite achieving nearly perfect accuracy in the vanilla NIAH test, all models exhibit large performance drops as the context length increases.
no code implementations • 24 Feb 2024 • Shu-Ting Pi, Cheng-Ping Hsieh, Qun Liu, Yuying Zhu
Our novel approach involves using machine learning techniques to tag customer questions in transcripts and create a repository of questions and corresponding labels.
1 code implementation • 1 Nov 2022 • Cheng-Ping Hsieh, Subhankar Ghosh, Boris Ginsburg
In the proposed approach, a few small adapter modules are added to the original network.
1 code implementation • 28 Sep 2022 • Cheng-An Hsieh, Cheng-Ping Hsieh, Pu-Jen Cheng
To address this, we introduce Multimodal Retrieval on Representation of ImaGe witH Text (Mr.
1 code implementation • 25 May 2022 • Mingkai Deng, Jianyu Wang, Cheng-Ping Hsieh, Yihan Wang, Han Guo, Tianmin Shu, Meng Song, Eric P. Xing, Zhiting Hu
RLPrompt formulates a parameter-efficient policy network that generates the desired discrete prompt after training with reward.