4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CL2023
Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue
Maksim Eremeev, Ilya Valmianski, Xavier Amatriain +1
Factual correctness is often the limiting factor in practical applications of natural language generation in high-stakes domains such as healthcare. An essential requirement for ma…
cs.LG2021★ 4 cited
Characterizing and addressing the issue of oversmoothing in neural autoregressive sequence modeling
Ilia Kulikov, Maksim Eremeev, Kyunghyun Cho
Neural autoregressive sequence models smear the probability among many possible sequences including degenerate ones, such as empty or repetitive sequences. In this work, we tackle…