Henryk Michalewski
18 papers · 2017–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (38) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Grand Slam
π§
Keyword Pioneer
π₯
Mega-Team Β· Legion
π
Keyword Trendsetter Combo
(3)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
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Renaissance Researcher
(8)
ποΈ
Keyword Collector
(94)
Top co-authors
Research topics
Artificial Intelligence
(14)
Core AI
(13)
Natural Language Processing
(9)
Machine Learning
(8)
Deep Learning
(6)
Learning Types
(5)
Reinforcement Learning
(4)
Applications Β· Reinforcement Learning
(4)
Generation
(4)
Resources & Methods
(4)
Applications Β· Natural Language Processing
(3)
Models
(3)
Knowledge & Reasoning
(2)
Application Areas
(2)
Architectures
(2)
Keywords
large language model
(6)
mathematical reasoning
(3)
atari game
(2)
code generation
(2)
long context
(2)
theorem proving
(2)
multi-agent system
(2)
adversarial testing
(2)
language modeling
(2)
few-shot learning
(1)
attention mechanism
(1)
multi-task learning
(1)
data augmentation
(1)
question answering
(1)
contrastive learning
(1)
visual question answering
(1)
benchmark evaluation
(1)
bias detection
(1)
model architecture
(1)
video prediction
(1)
Papers
Structured Packing in LLM Training Improves Long Context Utilization
AAAI 2025
Towards Robust Mathematical Reasoning
EMNLP 2025
Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large Language Models
EMNLP 2024
Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution
ICML 2024
A Simple, Yet Effective Approach to Finding Biases in Code Generation
ACL 2023
Focused Transformer: Contrastive Training for Context Scaling
NeurIPS 2023
Natural Language to Code Generation in Interactive Data Science Notebooks
ACL 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
CoRL 2023
Hierarchical Transformers Are More Efficient Language Models
NAACL 2022
Measuring CLEVRness: Black-box Testing of Visual Reasoning Models
ICLR 2022
Multi-Game Decision Transformers
NeurIPS 2022
Solving Quantitative Reasoning Problems with Language Models
NeurIPS 2022
Measuring and Improving BERTβs Mathematical Abilities by Predicting the Order of Reasoning.
ACL 2021
Sparse is Enough in Scaling Transformers
NeurIPS 2021
Model Based Reinforcement Learning for Atari
ICLR 2020
Reinforcement Learning of Theorem Proving
NeurIPS 2018
Hierarchical Reinforcement Learning with Parameters
CoRL 2017