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cs.CL2026

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…

cs.CL2026

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…

cs.CL2026

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…

cs.CL2025

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…

cs.CL2025

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…

cs.CL2024

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…