2 citations · 2 across the 6 of their papers we have counts for
5 papers · 1 filter
Inducing Artificial Uncertainty in Language Models
Sophia Hager, Simon Zeng, Nicholas Andrews
In safety-critical applications, language models should be able to characterize their uncertainty with meaningful probabilities. Many uncertainty quantification approaches require…
Does Local News Stay Local?: Online Content Shifts in Sinclair-Acquired Stations
Miriam Wanner, Sophia Hager, Anjalie Field
Local news stations are often considered to be reliable sources of non-politicized information, particularly local concerns that residents care about. Because these stations are tr…
Hell or High Water: Evaluating Agentic Recovery from External Failures
Andrew Wang, Sophia Hager, Adi Asija +2
As language model agents are applied to real world problems of increasing complexity, they will be expected to formulate plans across large search spaces. If those plans fail for r…
Uncertainty Distillation: Teaching Language Models to Express Semantic Confidence
Sophia Hager, David Mueller, Kevin Duh +1
As large language models (LLMs) are increasingly used for factual question-answering, it becomes more important for LLMs to have the capability to communicate the likelihood that t…
Learning to Generate Text in Arbitrary Writing Styles
Aleem Khan, Andrew Wang, Sophia Hager +1
Prior work in style-controlled text generation has focused on tasks such as emulating the style of prolific literary authors, producing formal or informal text, and mitigating toxi…