1 code implementation • 26 Oct 2023 • Yonatan Oren, Nicole Meister, Niladri Chatterji, Faisal Ladhak, Tatsunori B. Hashimoto
In contrast, the tendency for language models to memorize example order means that a contaminated language model will find certain canonical orderings to be much more likely than others.
1 code implementation • IJCNLP 2019 • Yonatan Oren, Shiori Sagawa, Tatsunori B. Hashimoto, Percy Liang
Language models are generally trained on data spanning a wide range of topics (e. g., news, reviews, fiction), but they might be applied to an a priori unknown target distribution (e. g., restaurant reviews).
1 code implementation • NeurIPS 2018 • Tatsunori B. Hashimoto, Kelvin Guu, Yonatan Oren, Percy Liang
For the task of generating complex outputs such as source code, editing existing outputs can be easier than generating complex outputs from scratch.
3 code implementations • TACL 2018 • Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren, Percy Liang
We propose a new generative model of sentences that first samples a prototype sentence from the training corpus and then edits it into a new sentence.