22 citations · 22 across the 4 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2025
Demo: Statistically Significant Results On Biases and Errors of LLMs Do Not Guarantee Generalizable Results
Jonathan Liu, Haoling Qiu, Jonathan Lasko +3
Recent research has shown that hallucinations, omissions, and biases are prevalent in everyday use-cases of LLMs. However, chatbots used in medical contexts must provide consistent…
cs.CL2013
Estimating Confusions in the ASR Channel for Improved Topic-based Language Model Adaptation
Damianos Karakos, Mark Dredze, Sanjeev Khudanpur
Human language is a combination of elemental languages/domains/styles that change across and sometimes within discourses. Language models, which play a crucial role in speech recog…