4 citations · 7 across the 5 of their papers we have counts for
5 papers
Predicting Question-Answering Performance of Large Language Models through Semantic Consistency
Ella Rabinovich, Samuel Ackerman, Orna Raz +2
Semantic consistency of a language model is broadly defined as the model's ability to produce semantically-equivalent outputs, given semantically-equivalent inputs. We address the…
Reliable and Interpretable Drift Detection in Streams of Short Texts
Ella Rabinovich, Matan Vetzler, Samuel Ackerman +1
Data drift is the change in model input data that is one of the key factors leading to machine learning models performance degradation over time. Monitoring drift helps detecting t…
Personalized Machine Translation: Preserving Original Author Traits
Ella Rabinovich, Shachar Mirkin, Raj Nath Patel +2
The language that we produce reflects our personality, and various personal and demographic characteristics can be detected in natural language texts. We focus on one particular pe…
Unsupervised Identification of Translationese
Ella Rabinovich, Shuly Wintner
Translated texts are distinctively different from original ones, to the extent that supervised text classification methods can distinguish between them with high accuracy. These di…
On the Similarities Between Native, Non-native and Translated Texts
Ella Rabinovich, Sergiu Nisioi, Noam Ordan +1
We present a computational analysis of three language varieties: native, advanced non-native, and translation. Our goal is to investigate the similarities and differences between n…