Michał Pietruszka
7 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (18) 🌍 Conference Polyglot · Silver
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Topic Evolution
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Unstoppable · Bronze
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The Questioner
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Research topics
Natural Language Processing
(6)
Machine Learning
(5)
Applications
(4)
Deep Learning
(3)
Optimization & Theory
(3)
Core Methods
(2)
Generation
(2)
Resources & Methods
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Application Areas
(1)
Architectures
(1)
Core AI
(1)
Domain-Specific
(1)
Learning Types
(1)
Keywords
large language model
(2)
information extraction
(2)
efficient computing
(2)
document understanding
(2)
gradient-based optimization
(1)
attention mechanism
(1)
benchmark evaluation
(1)
question answering
(1)
domain adaptation
(1)
transformer efficiency
(1)
text generation
(1)
inference optimization
(1)
text summarization
(1)
machine reading comprehension
(1)
differentiable programming
(1)
relation extraction
(1)
multi-task learning
(1)
feature engineering
(1)
tabular data
(1)
transformer architecture
(1)
Papers
Can Models Help Us Create Better Models? Evaluating LLMs as Data Scientists
EACL 2026
Arctic-TILT. Business Document Understanding at Sub-Billion Scale
ACL 2025
STable: Table Generation Framework for Encoder-Decoder Models
EACL 2024
Document Understanding Dataset and Evaluation (DUDE)
ICCV 2023
Sparsifying Transformer Models with Trainable Representation Pooling
ACL 2022
Successive Halving Top-k Operator
AAAI 2021
From Dataset Recycling to Multi-Property Extraction and Beyond
CoNLL 2020