Detecting and Ranking Conceptual Links between Texts Using a Knowledge Base. - Martin Tutek; Goran Glavas; Jan Snajder; Natasa Milic-Frayling; Bojana Dalbelo Basic (CIKM, 2016)

TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble. - Martin Tutek; Ivan Sekulic; Paula Gombar; Ivan Paljak; Filip Culinovic; Filip Boltuzic; Mladen Karan; Domagoj Alagic; Jan Snajder (SemEval@NAACL-HLT, 2016)

Two Layers of Annotation for Representing Event Mentions in News Stories. - Maria Pia di Buono; Martin Tutek; Jan Snajder; Goran Glavas; Bojana Dalbelo Basic; Natasa Milic-Frayling (LAW@ACL, 2017)

Predicting News Values from Headline Text and Emotions. - Maria Pia di Buono; Jan Snajder; Bojana Dalbelo Basic; Goran Glavas; Martin Tutek; Natasa Milic-Frayling (NLPmJ@EMNLP, 2017)

TakeLab at SemEval-2017 Task 5: Linear aggregation of word embeddings for fine-grained sentiment analysis of financial news. - Leon Rotim; Martin Tutek; Jan Snajder (SemEval@ACL, 2017)

Iterative Recursive Attention Model for Interpretable Sequence Classification. - Martin Tutek; Jan Snajder (BlackboxNLP@EMNLP, 2018)

Staying True to Your Word: (How) Can Attention Become Explanation? - Martin Tutek; Jan Snajder (RepL4NLP@ACL, 2020)

NLPOP: a Dataset for Popularity Prediction of Promoted NLP Research on Twitter. - Leo Obadic; Martin Tutek; Jan Snajder (WASSA@ACL, 2022)

Toward Practical Usage of the Attention Mechanism as a Tool for Interpretability. - Martin Tutek; Jan Snajder (IEEE Access, 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. - Martin Tutek (2022)

Easy to Decide, Hard to Agree: Reducing Disagreements Between Saliency Methods. - Josip Jukic; Martin Tutek; Jan Snajder (ACL (Findings), 2023)

CATfOOD: Counterfactual Augmented Training for Improving Out-of-Domain Performance and Calibration. - Rachneet Sachdeva; Martin Tutek; Iryna Gurevych (EACL (1), 2024)

Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs. - Haritz Puerto; Martin Tutek; Somak Aditya; Xiaodan Zhu; Iryna Gurevych (EMNLP, 2024)

Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness. - Fran Jelenic; Josip Jukic; Martin Tutek; Mate Puljiz; Jan Snajder (ICLR, 2024)

REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space. - Tomer Ashuach; Martin Tutek; Yonatan Belinkov (ACL (Findings), 2025)

Measuring Faithfulness of Chains of Thought by Unlearning Reasoning Steps. - Martin Tutek; Fateme Hashemi Chaleshtori; Ana Marasovic; Yonatan Belinkov (CoRR, 2025)

MIB: A Mechanistic Interpretability Benchmark. - Aaron Mueller; Atticus Geiger; Sarah Wiegreffe; Dana Arad; Iván Arcuschin; Adam Belfki; Yik Siu Chan; Jaden Fiotto-Kaufman; Tal Haklay; Michael Hanna 001; Jing Huang; Rohan Gupta; et al. (CoRR, 2025)

Characterizing Linguistic Shifts in Croatian News via Diachronic Word Embeddings. - David Dukic; Ana Baric; Marko Culjak; Josip Jukic; Martin Tutek (CoRR, 2025)