1 code implementation • 22 Feb 2024 • Samraj Moorjani, Adit Krishnan, Hari Sundaram
As large-scale language models become the standard for text generation, there is a greater need to tailor the generations to be more or less concise, targeted, and informative, depending on the audience/application.
no code implementations • 24 May 2023 • Nishant Balepur, Jie Huang, Samraj Moorjani, Hari Sundaram, Kevin Chen-Chuan Chang
When answering complex questions, large language models (LLMs) may produce answers that do not satisfy all criteria of the question.
1 code implementation • 24 Jan 2023 • Samraj Moorjani, Adit Krishnan, Hari Sundaram, Ewa Maslowska, Aravind Sankar
While existing approaches demonstrate textual style transfer with large volumes of parallel or non-parallel data, we argue that grounding style on audience-independent external factors is innately limiting for two reasons.