no code implementations • 5 Apr 2024 • Jingyu Zhang, Marc Marone, Tianjian Li, Benjamin Van Durme, Daniel Khashabi
To address these limitations, we tackle the verifiability goal with a different philosophy: we trivialize the verification process by developing models that quote verbatim statements from trusted sources in pre-training data.
no code implementations • 2 Oct 2023 • Tianjian Li, Haoran Xu, Philipp Koehn, Daniel Khashabi, Kenton Murray
Text generation models are notoriously vulnerable to errors in the training data.
no code implementations • 31 May 2023 • Shuyue Stella Li, Cihan Xiao, Tianjian Li, Bismarck Odoom
Our methods include a stacked Residual CNN+GRU model and a multitask pre-training approach to use Automatic Speech Recognition (ASR) as an auxiliary task for CSLID.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +4
no code implementations • 27 May 2023 • Tianjian Li, Kenton Murray
Zero-shot cross-lingual transfer is when a multilingual model is trained to perform a task in one language and then is applied to another language.