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20162026
most citedA Transition-Based Directed Acyclic Graph Parser for UCCA

99 citations · 330 across the 75 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

cs.CL2025

QA-Noun: Representing Nominal Semantics via Natural Language Question-Answer Pairs

Maria Tseytlin, Paul Roit, Omri Abend +2

Decomposing sentences into fine-grained meaning units is increasingly used to model semantic alignment. While QA-based semantic approaches have shown effectiveness for representing…

cs.CL2025

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.CL2025

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.AI2025

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…

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.CL2025★ 2 cited

Control Illusion: The Failure of Instruction Hierarchies in Large Language Models

Yilin Geng, Haonan Li, Honglin Mu +5

Large language models (LLMs) are increasingly deployed with hierarchical instruction schemes, where certain instructions (e.g., system-level directives) are expected to take preced…