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Ron Eliav

2 accepted papers

2025

Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons

ICLR 2025poster

*Minimal sufficient reasons* represent a prevalent form of explanation - the smallest subset of input features which, when held constant at their corresponding values, ensure that the prediction remains unchanged. Previous *post-hoc* methods attempt to obtain such explanations but face two main limi…

2022

QASem Parsing: Text-to-text Modeling of QA-based Semantics

EMNLP 2022main

Various works suggest the appeals of incorporating explicit semantic representations when addressing challenging realistic NLP scenarios. Common approaches offer either comprehensive linguistically-based formalisms, like AMR, or alternatively Open-IE, which provides a shallow and partial representat…