Papers by Sina Abbasi
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. |
RepMatch: Quantifying Cross-Instance Similarities in Representation Space (2024.emnlp-main)
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| Challenge: | Recent advances in dataset analysis have enabled more sophisticated approaches to analyzing and characterizing training data instances. |
| Approach: | They propose a method that characterizes data through the lens of similarity. |
| Outcome: | The proposed method can compare datasets, identify more representative subsets, and uncover heuristics underlying the construction of some challenge datasets. |