Title |
|---|
 Private Memorization Editing: Turning Memorization into a Defense to Strengthen Data Privacy in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2025 |
 Isotropy, Clusters, and ClassifiersAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 |
 The Curious Case of Hallucinatory (Un)answerability: Finding Truths in
the Hidden States of Over-Confident Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Why bother with geometry? On the relevance of linear decompositions of
Transformer embeddingsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2023 |
 Explaining How Transformers Use Context to Build PredictionsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Token-wise Decomposition of Autoregressive Language Model Hidden States
for Analyzing Model PredictionsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 |
 Dissecting Recall of Factual Associations in Auto-Regressive Language
ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
 Jump to Conclusions: Short-Cutting Transformers With Linear
TransformationsInternational Conference on Language Resources and Evaluation (LREC), 2023 |
 Understanding Transformer Memorization Recall Through IdiomsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2022 |
 Analyzing Transformers in Embedding SpaceAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
