2 citations · 2 across the 6 of their papers we have counts for
6 papers
Ad hoc conventions generalize to new referents
Anya Ji, Claire Augusta Bergey, Ron Eliav +2
How do people talk about things they've never talked about before? One view suggests that a new shared naming system establishes an arbitrary link to a specific target, like proper…
CLATTER: Comprehensive Entailment Reasoning for Hallucination Detection
Ron Eliav, Arie Cattan, Eran Hirsch +4
A common approach to hallucination detection casts it as a natural language inference (NLI) task, often using LLMs to classify whether the generated text is entailed by correspondi…
Self-Explaining Neural Networks for Business Process Monitoring
Shahaf Bassan, Shlomit Gur, Sergey Zeltyn +3
Tasks in Predictive Business Process Monitoring (PBPM), such as Next Activity Prediction, focus on generating useful business predictions from historical case logs. Recently, Deep…
Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons
Shahaf Bassan, Ron Eliav, Shlomit Gur
*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…
Semantic uncertainty guides the extension of conventions to new referents
Ron Eliav, Anya Ji, Yoav Artzi +1
A long tradition of studies in psycholinguistics has examined the formation and generalization of ad hoc conventions in reference games, showing how newly acquired conventions for…
QASem Parsing: Text-to-text Modeling of QA-based Semantics
Ayal Klein, Eran Hirsch, Ron Eliav +3
Several recent works have suggested to represent semantic relations with questions and answers, decomposing textual information into separate interrogative natural language stateme…