Martin Tutek

Orcid: 0000-0001-5227-5397

According to our database1, Martin Tutek authored at least 21 papers between 2016 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs.
CoRR, October, 2025

Context Parametrization with Compositional Adapters.
CoRR, September, 2025

CRISP: Persistent Concept Unlearning via Sparse Autoencoders.
CoRR, August, 2025

Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings.
CoRR, June, 2025

Measuring Faithfulness of Chains of Thought by Unlearning Reasoning Steps.
CoRR, February, 2025


REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023
Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Extending the recurrent neural network model for improved compositional modelling of text sequences ; Proširenje modela povratnih neuronskih mreža za poboljšano kompozicijsko modeliranje tekstnih sljedova.
PhD thesis, 2022

Toward Practical Usage of the Attention Mechanism as a Tool for Interpretability.
IEEE Access, 2022

NLPOP: a Dataset for Popularity Prediction of Promoted NLP Research on Twitter.
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

2020
Staying True to Your Word: (How) Can Attention Become Explanation?
Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

2018
Iterative Recursive Attention Model for Interpretable Sequence Classification.
Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

2017
TakeLab at SemEval-2017 Task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news.
Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Predicting News Values from Headline Text and Emotions.
Proceedings of the 2017 Workshop: Natural Language Processing meets Journalism, 2017

Two Layers of Annotation for Representing Event Mentions in News Stories.
Proceedings of the 11th Linguistic Annotation Workshop, 2017

2016
TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Detecting and Ranking Conceptual Links between Texts Using a Knowledge Base.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016


  Loading...