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We stand with Ukraine

Martin Tutek

Orcid: 0000-0001-5227-5397

According to our database¹, Martin Tutek authored at least 27 papers between 2016 and 2026.

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

2026

Reasoning Models Know What's Important, and Encode It in Their Activations.

[DOI]

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Jonathan S. Rosenfeld

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Yonatan Belinkov

CoRR, April, 2026

Old Habits Die Hard: How Conversational History Geometrically Traps LLMs.

[DOI]

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Yonatan Belinkov

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CoRR, March, 2026

Sequence Repetition Enhances Token Embeddings and Improves Sequence Labeling with Decoder-only Language Models.

[DOI]

Matija Luka Kukic

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Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

CRISP: Persistent Concept Unlearning via Sparse Autoencoders.

[DOI]

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Yonatan Belinkov

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

PRAGWORLD: A Benchmark Evaluating LLMs' Local World Model Under Minimal Linguistic Alterations and Conversational Dynamics.

[DOI]

Sachin Vashistha

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Findings of the BlackboxNLP 2025 Shared Task: Localizing Circuits and Causal Variables in Language Models.

[DOI]

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Yonatan Belinkov

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CoRR, November, 2025

ManagerBench: Evaluating the Safety-Pragmatism Trade-off in Autonomous LLMs.

[DOI]

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Jonathan Herzig

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Yonatan Belinkov

CoRR, October, 2025

Context Parametrization with Compositional Adapters.

[DOI]

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CoRR, September, 2025

Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings.

[DOI]

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CoRR, June, 2025

Measuring Faithfulness of Chains of Thought by Unlearning Reasoning Steps.

[DOI]

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Fateme Hashemi Chaleshtori

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Yonatan Belinkov

CoRR, February, 2025

MIB: A Mechanistic Interpretability Benchmark.

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Measuring Chain of Thought Faithfulness by Unlearning Reasoning Steps.

[DOI]

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Fateme Hashemi Chaleshtori

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Yonatan Belinkov

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space.

[DOI]

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Yonatan Belinkov

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness.

[DOI]

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Proceedings of the Twelfth International Conference on Learning Representations, 2024

Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs.

[DOI]

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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.

[DOI]

Rachneet Sachdeva

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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.

[DOI]

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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.

[DOI]

PhD thesis, 2022

Toward Practical Usage of the Attention Mechanism as a Tool for Interpretability.

[DOI]

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IEEE Access, 2022

NLPOP: a Dataset for Popularity Prediction of Promoted NLP Research on Twitter.

[DOI]

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Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, 2022

2020

Staying True to Your Word: (How) Can Attention Become Explanation?

[DOI]

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Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

2018

Iterative Recursive Attention Model for Interpretable Sequence Classification.

[DOI]

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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.

[DOI]

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Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Predicting News Values from Headline Text and Emotions.

[DOI]

Maria Pia di Buono

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Bojana Dalbelo Basic

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Natasa Milic-Frayling

Proceedings of the 2017 Workshop: Natural Language Processing meets Journalism, 2017

Two Layers of Annotation for Representing Event Mentions in News Stories.

[DOI]

Maria Pia di Buono

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Bojana Dalbelo Basic

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Natasa Milic-Frayling

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.

[DOI]

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Filip Culinovic

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Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Detecting and Ranking Conceptual Links between Texts Using a Knowledge Base.

[DOI]

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Natasa Milic-Frayling

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Bojana Dalbelo Basic

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

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