Papers by Mohammad Reza Modarres

2 papers
NormXLogit: The Head-on-Top Never Lies (2025.emnlp-main)

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Challenge: NormXLogit is a novel approach for assessing the significance of input tokens based on word embeddings .
Approach: They propose a novel method for assessing the significance of input tokens based on the input and output representations associated with each token.
Outcome: The proposed method outperforms gradient-based methods in faithfulness and offers competitive performance compared to leading architecture-specific techniques.
Evaluating the Creativity of LLMs in Persian Literary Text Generation (2025.findings-emnlp)

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Challenge: Prior research has focused primarily on English, with limited exploration of non-English literary traditions and without standardized methods for assessing creativity.
Approach: They build a dataset of user-generated Persian literary spanning 20 diverse topics and assess model outputs along four creativity dimensions .
Outcome: The proposed models generate Persian literary text enriched with culturally relevant expressions.

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