Michal Spiegel

According to our database, Michal Spiegel authored at least 13 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Revisiting Prompt Sensitivity in Large Language Models for Text Classification: The Role of Prompt Underspecification.

Branislav Pecher, Michal Spiegel, Róbert Belanec, Ján Cegin

CoRR, February, 2026

Language Models Learn Universal Representations of Numbers and Here's Why You Should Care.

Michal Stefánik, Timothee Mickus, Marek Kadlcík, Bertram Højer, Michal Spiegel, Raúl Vázquez, Aman Sinha, Josef Kuchar, Philipp Mondorf, Pontus Stenetorp

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

2025

Unravelling the Mechanisms of Manipulating Numbers in Language Models.

Michal Stefánik, Timothee Mickus, Marek Kadlcík, Bertram Højer, Michal Spiegel, Raúl Vázquez, Aman Sinha, Josef Kuchar, Philipp Mondorf

CoRR, October, 2025

Can Out-of-Distribution Evaluations Uncover Reliance on Shortcuts? A Case Study in Question Answering.

Michal Stefánik, Timothee Mickus, Marek Kadlcík, Michal Spiegel, Josef Kuchar

CoRR, August, 2025

VectorEdits: A Dataset and Benchmark for Instruction-Based Editing of Vector Graphics.

Josef Kuchar, Marek Kadlcík, Michal Spiegel, Michal Stefánik

CoRR, June, 2025

Negation: A Pink Elephant in the Large Language Models' Room?

Tereza Vrabcová, Marek Kadlcík, Petr Sojka, Michal Stefánik, Michal Spiegel

CoRR, March, 2025

Attend or Perish: Benchmarking Attention in Algorithmic Reasoning.

Michal Spiegel, Michal Stefánik, Marek Kadlcík, Josef Kuchar

CoRR, March, 2025

Towards the Roots of the Negation Problem: A Multilingual NLI Dataset and Model Scaling Analysis.

Tereza Vrabcová, Marek Kadlcík, Petr Sojka, Michal Stefánik, Michal Spiegel

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

Can Out-of-Distribution Evaluations Uncover Reliance on Prediction Shortcuts? A Case Study in Question Answering.

Michal Stefánik, Timothee Mickus, Michal Spiegel, Marek Kadlcík, Josef Kuchar

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

Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers.

Marek Kadlcík, Michal Stefánik, Timothee Mickus, Josef Kuchar, Michal Spiegel

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

2024

KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection.

Michal Spiegel, Dominik Macko

Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

WebMap: Improving LLM Web Agents with Semantic Search for Relevant Web Pages.

Michal Spiegel, Ales Horák

Proceedings of the 18th Workshop on Recent Advances in Slavonic Natural Languages Processing, 2024

IMGTB: A Framework for Machine-Generated Text Detection Benchmarking.

Michal Spiegel, Dominik Macko

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024