Marek Kadlcik
10 papers · 2023–2026 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25) 🏆 Keyword Champion (2)
🤝
Dynamic Duo
(10)
💎
Century Club · Bronze
❓
The Questioner
(2)
Top co-authors
Research topics
Artificial Intelligence
(7)
Core AI
(7)
Machine Learning
(6)
Natural Language Processing
(5)
Deep Learning
(4)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(3)
Resources & Methods
(3)
Application Areas
(2)
Applications
(2)
Generation
(2)
Optimization & Theory
(2)
Architectures
(1)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
few-shot learning
(3)
arithmetic reasoning
(3)
in-context learning
(3)
language model
(3)
concept learning
(2)
representation learning
(2)
number representation
(2)
large language model
(2)
symbolic computation
(1)
demonstration learning
(1)
natural language inference
(1)
semantic similarity
(1)
instruction tuning
(1)
domain adaptation
(1)
instruction fine-tuning
(1)
preference optimization
(1)
spurious correlation
(1)
model scaling
(1)
out-of-distribution evaluation
(1)
generalization capability
(1)
Papers
Language Models Learn Universal Representations of Numbers and Here’s Why You Should Care
ACL 2026
Can Out-of-Distribution Evaluations Uncover Reliance on Prediction Shortcuts? A Case Study in Question Answering
EMNLP 2025
Pre-trained Language Models Learn Remarkably Accurate Representations of Numbers
EMNLP 2025
Towards the Roots of the Negation Problem: A Multilingual NLI Dataset and Model Scaling Analysis
EMNLP 2025
Concept-aware Data Construction Improves In-context Learning of Language Models
ACL 2024
Self-training Language Models for Arithmetic Reasoning
EMNLP 2024
Calc-X and Calcformers: Empowering Arithmetical Chain-of-Thought through Interaction with Symbolic Systems
EMNLP 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