45 citations · 85 across the 21 of their papers we have counts for
38 papers · 1 filter
Exploring the Learning Capabilities of Language Models using LEVERWORLDS
Eitan Wagner, Amir Feder, Omri Abend
Learning a model of a stochastic setting often involves learning both general structure rules and specific properties of the instance. This paper investigates the interplay between…
CONTESTS: a Framework for Consistency Testing of Span Probabilities in Language Models
Eitan Wagner, Yuli Slavutsky, Omri Abend
Although language model scores are often treated as probabilities, their reliability as probability estimators has mainly been studied through calibration, overlooking other aspect…
Identifying Narrative Patterns and Outliers in Holocaust Testimonies Using Topic Modeling
Maxim Ifergan, Renana Keydar, Omri Abend +1
The vast collection of Holocaust survivor testimonies presents invaluable historical insights but poses challenges for manual analysis. This paper leverages advanced Natural Langua…
Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney
Shachar Don-Yehiya, Leshem Choshen, Omri Abend
Generating images with a Text-to-Image model often requires multiple trials, where human users iteratively update their prompt based on feedback, namely the output image. Taking in…
Cognitive Simplification Operations Improve Text Simplification
Eytan Chamovitz, Omri Abend
Text Simplification (TS) is the task of converting a text into a form that is easier to read while maintaining the meaning of the original text. A sub-task of TS is Cognitive Simpl…
DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering
Ella Neeman, Roee Aharoni, Or Honovich +3
Question answering models commonly have access to two sources of "knowledge" during inference time: (1) parametric knowledge - the factual knowledge encoded in the model weights, a…