Papers by Omer Shubi
Déjà Vu? Decoding Repeated Reading from Eye Movements (2025.acl-long)
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| Challenge: | In many daily situations we read the same text more than once. |
| Approach: | They propose a strategy for enhancing feature-based and neural models by generating machine generated eye movements from a cognitive model. |
| Outcome: | The proposed model improves on the previous model and enables better characterization of the role of memory in repeated reading. |
Fine-Grained Prediction of Reading Comprehension from Eye Movements (2024.emnlp-main)
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| Challenge: | a new study attempts to assess reading comprehension from eye movements in reading . eye movements provide small improvements over a text-only baseline, the authors argue . |
| Approach: | They propose to use eyetracking data to predict reading comprehension of a single participant . they use a battery of recent models and three new multimodal language models . |
| Outcome: | The proposed model can predict reading comprehension of a single participant from eye movements over a paragraph. |
Eye Tracking and NLP (2025.acl-tutorials)
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| Challenge: | tutorial combines eye tracking during reading with NLP . outlines how eye movements in reading can be leveraged for NLP methods . |
| Approach: | The tutorial combines eye tracking during reading with NLP . it covers eye movements in reading, integrating eye movement data in NLP models . |
| Outcome: | The tutorial outlines how eye movements in reading can be leveraged for NLP . it provides the essential background for conducting research on joint modeling of eye movements and text. |
Decoding Reading Goals from Eye Movements (2025.acl-long)
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| Challenge: | a study examines whether readers can distinguish between two types of reading goals: information seeking and ordinary reading for comprehension. |
| Approach: | They propose a method to distinguish between two types of reading goals: information seeking and ordinary reading for comprehension. |
| Outcome: | The proposed model solves the reading goal-oriented task with the most accurate predictions in real time, the authors say . |