10 papers
Position: Natural Language Should Not Fully Replace Formal Languages
Eitan Wagner, Elisha Rosensweig, Omri Abend
Recent advances in large language models and their widespread adoption have prompted claims that natural language could entirely replace formal languages, such as programming langu…
The Challenge and Reward of Fair Play in Narrative: A Computational Approach
Eitan Wagner, Renana Keydar, Omri Abend
Good storytelling involves surprise -- unpredictability in how the story unfolds -- and sense-making, the requirement that the story forms a coherent sequence. However, to date, th…
Express Your Doubts -- Probabilistic World Modeling Should not be Based on Token logprobs
Eitan Wagner, Omri Abend
Language modeling has shifted in recent years from a distribution over strings to prediction models with textual inputs and outputs for general-purpose tasks. This position paper h…
Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind
Mouad Abrini, Omri Abend, Dina Acklin +105
This volume includes a selection of papers presented at the Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2025 in Philadelphia US on 3rd March 2…
Unsupervised Location Mapping for Narrative Corpora
Eitan Wagner, Renana Keydar, Omri Abend
This work presents the task of unsupervised location mapping, which seeks to map the trajectory of an individual narrative on a spatial map of locations in which a large set of nar…
Computational Analysis of Character Development in Holocaust Testimonies
Esther Shizgal, Eitan Wagner, Renana Keydar +1
This work presents a computational approach to analyze character development along the narrative timeline. The analysis characterizes the inner and outer changes the protagonist un…
Mind Your Theory: Theory of Mind Goes Deeper Than Reasoning
Eitan Wagner, Nitay Alon, Joseph M. Barnby +1
Theory of Mind (ToM) capabilities in LLMs have recently become a central object of investigation. Cognitive science distinguishes between two steps required for ToM tasks: 1) deter…
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…
Topical Segmentation of Spoken Narratives: A Test Case on Holocaust Survivor Testimonies
Eitan Wagner, Renana Keydar, Amit Pinchevski +1
The task of topical segmentation is well studied, but previous work has mostly addressed it in the context of structured, well-defined segments, such as segmentation into paragraph…