Michal Štefánik
15 papers · 2021–2026 · 4 conferences · across top CS/AI conferences
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ACL (6)
EMNLP (6)
EACL (2)
NAACL (1)
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Research topics
Keywords
language model
(4)
arithmetic reasoning
(3)
in-context learning
(3)
few-shot learning
(3)
large language model
(3)
domain adaptation
(2)
question answering
(2)
concept learning
(2)
number representation
(2)
representation learning
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spurious correlation
(2)
prediction shortcut
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preference optimization
(1)
named entity recognition
(1)
cross-lingual transfer
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offline reinforcement learning
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catastrophic forgetting
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natural language inference
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regression analysis
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token classification
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Papers
Language Models Learn Universal Representations of Numbers and Here’s Why You Should Care
ACL 2026
Towards the Roots of the Negation Problem: A Multilingual NLI Dataset and Model Scaling Analysis
EMNLP 2025
Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers
EMNLP 2025
Can Out-of-Distribution Evaluations Uncover Reliance on Prediction Shortcuts? A Case Study in Question Answering
EMNLP 2025
Self-training Language Models for Arithmetic Reasoning
EMNLP 2024
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models
EACL 2024
Concept-aware Data Construction Improves In-context Learning of Language Models
ACL 2024
Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems
EMNLP 2023
People and Places of Historical Europe: Bootstrapping Annotation Pipeline and a New Corpus of Named Entities in Late Medieval Texts
ACL 2023
Can In-context Learners Learn a Reasoning Concept from Demonstrations?
ACL 2023
Resources and Few-shot Learners for In-context Learning in Slavic Languages
EACL 2023
Soft Alignment Objectives for Robust Adaptation of Language Generation
ACL 2023
Adaptor: Objective-Centric Adaptation Framework for Language Models
ACL 2022
Methods for Estimating and Improving Robustness of Language Models
NAACL 2022
Regressive Ensemble for Machine Translation Quality Evaluation
EMNLP 2021