7 citations · 7 across the 3 of their papers we have counts for
3 papers
cs.CL2024
Variability Need Not Imply Error: The Case of Adequate but Semantically Distinct Responses
Evgenia Ilia, Wilker Aziz
With the broader use of language models (LMs) comes the need to estimate their ability to respond reliably to prompts (e.g., are generated responses likely to be correct?). Uncerta…
cs.CL2024
Predict the Next Word: Humans exhibit uncertainty in this task and language models _____
Evgenia Ilia, Wilker Aziz
Language models (LMs) are statistical models trained to assign probability to human-generated text. As such, it is reasonable to question whether they approximate linguistic variab…
cs.CL2023★ 7 cited
Uncertainty in Natural Language Generation: From Theory to Applications
Joris Baan, Nico Daheim, Evgenia Ilia +7
Recent advances of powerful Language Models have allowed Natural Language Generation (NLG) to emerge as an important technology that can not only perform traditional tasks like sum…