Papers by Tamás Ficsor
SUE: Sparsity-based Uncertainty Estimation via Sparse Dictionary Learning (2025.emnlp-main)
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| Challenge: | Existing methods to estimate uncertainty use predictive confidence, structural characteristics of representation space, or stochastic variation in model outputs. |
| Approach: | They propose a new uncertainty estimation framework based on sparse dictionary learning by identifying dictionary atoms associated with misclassified samples. |
| Outcome: | The proposed framework outperforms or matches existing methods on several NLU benchmarks and sentiment analysis benchmarks. |
Changing the Basis of Contextual Representations with Explicit Semantics (2021.acl-srw)
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| Challenge: | Existing transformer-based contextual representations are opaque as their latent dimensions are not directly interpretable. |
| Approach: | They propose an algorithm where the output representation expresses human-interpretable information of each dimension. |
| Outcome: | The proposed transformations are able to predict supersense category of a word by looking for its transformed coordinate with the largest coefficient. |