Marek Kubis
10 papers · 2017–2026 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (27)
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Research topics
Machine Learning
(5)
Natural Language Processing
(5)
Applications · Natural Language Processing
(5)
Deep Learning
(3)
Interdisciplinary
(3)
Learning Types
(3)
Artificial Intelligence
(2)
Architectures
(2)
Core AI
(2)
Core Methods
(2)
Computer Science
(1)
Speech & Audio
(1)
Application Areas
(1)
Applications · Computer Science
(1)
Education
(1)
Keywords
polish language
(2)
text classification
(1)
knowledge graph
(1)
knowledge transfer
(1)
entity linking
(1)
cross-lingual transfer
(1)
question answering
(1)
named entity recognition
(1)
multimodal learning
(1)
natural language understanding
(1)
geometric deep learning
(1)
knowledge base
(1)
corpus creation
(1)
machine learning
(1)
dataset creation
(1)
language model
(1)
retrieval-augmented generation
(1)
robustness evaluation
(1)
medical domain
(1)
sentiment analysis
(1)
Papers
A Benchmark for Audio Reasoning Capabilities of Multimodal Large Language Models
EACL 2026
Improving AI assistants embedded in short e-learning courses with limited textual content
ACL 2025
Polish-English medical knowledge transfer: A new benchmark and results
EMNLP 2025
POLygraph: Polish Fake News Dataset
ACL 2024
Two Approaches to Diachronic Normalization of Polish Texts
EACL 2024
Using Bibliodata LODification to Create Metadata-Enriched Literary Corpora in Line with FAIR Principles
COLING 2024
Back Transcription as a Method for Evaluating Robustness of Natural Language Understanding Models to Speech Recognition Errors
EMNLP 2023
Towards a contextualised spatial-diachronic history of literature: mapping emotional representations of the city and the country in Polish fiction from 1864 to 1939
COLING 2022
Geometric Deep Learning Models for Linking Character Names in Novels
COLING 2020
EUDAMU at SemEval-2017 Task 11: Action Ranking and Type Matching for End-User Development
SemEval 2017