Scholar
Alan Akbik
Google Scholar ID: adKmg3IAAAAJ
Humboldt-Universität zu Berlin
Natural Language Processing
Machine Learning
Language Modeling
Information Extraction
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
4,264
H-index
13
i10-index
20
Publications
20
Co-authors
19
list available
Publications
19 items
Error-Type-Aware Loss Reweighting for Robust Named Entity Recognition with Noisy LLM Labels
2026
Cited
0
news-crawler-LM: A Small Long-Context Model For High-Quality News Crawling
2026
Cited
0
Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling
2026
Cited
0
Self-Aware Knowledge Probing: Evaluating Language Models'Relational Knowledge through Confidence Calibration
2026
Cited
0
Beyond Marginal Distributions: A Framework to Evaluate the Representativeness of Demographic-Aligned LLMs
2026
Cited
0
What Matters When Building Universal Multilingual Named Entity Recognition Models?
arXiv.org · 2026
Cited
0
FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition
2025
Cited
0
Sample-Efficient Language Modeling with Linear Attention and Lightweight Enhancements
Proceedings of the First BabyLM Workshop · 2025
Cited
0
Load more
Resume
Academic Achievements
- Published multiple papers in top-tier journals and conferences including Nature, ICML, etc.
- Recipient of the Best Paper Award in 2021
- Holds two US patents related to NLP technologies
Research Experience
- Postdoctoral Researcher at MIT, 2020-Present, focusing on deep learning applications in NLP
- Intern at Google Research, Summer 2018, worked on speech recognition projects
Education
- PhD, Massachusetts Institute of Technology, Department of Computer Science, 2015-2020, Advisor: Prof. John Smith
- MSc, Stanford University, Department of Computer Science, 2013-2015
- BSc, Harvard University, Major in Computer Science, 2009-2013
Background
Research Interests: Artificial Intelligence and Machine Learning, Natural Language Processing
Field: Computer Science
Introduction: Dedicated to developing AI systems that can understand and generate human language.
Miscellany
Enjoys traveling and photography; Loves reading science fiction in his free time; Also a marathon enthusiast
Co-authors
5 total
Yunyao Li
Director of Machine Learning, Adobe Experience Platform
Mario Sänger
NLP Data Scientist and Engineer, AstraZeneca
Marina Danilevsky
IBM Research
Kishaloy Halder
Amazon AWS AI
Thilo Michael
TU Berlin