Prof. Dr.Alan Akbik
Hi, I'm a professor at the Humboldt University of Berlin, leading the chair of machine learning. I focus on natural language processing (NLP) research and the development of popular open source libraries such as Flair NLP.
Check out my research, my publicationsand my Chair!
External students welcome: Join our Deep Learning and NLP class online!
This semester, you can join my "Deep Learning and NLP" course at HU Berlin online. Starting October 14th, we go all the way from zero to "NLP hero": from classical NLP to transformers and LLMs, plus in-depth into to PyTorch 🔥. External students can enrol here!
Latest News
The Investitionsbank Berlin (IBB) approved a new ProFIT research grant for a 3-year research project together with industry partner OMQ GmbH! We're hiring again!
We welcome our new PhD student Filipe Laitenberger to the team!
We welcome our new research engineer Max Dallabetta to the team!
The Investitionsbank Berlin (IBB) approved a new research grant for a Forschungstransfer project to industry partner Wordliner GmbH!
Our paper "Babies Learn to Look Ahead: Multi-Token Prediction in Small LMs" accepted to BabyLM 2025 (EMNLP Workshop)!
Our paper "Sample-Efficient Language Modeling with Linear Attention and Lightweight Enhancements" accepted to BabyLM 2025 (EMNLP Workshop)!
Our paper "Improving Online Job Advertisement Analysis via Compositional Entity Extraction" accepted to EMNLP 2025 (main conference)!
Our paper "Token-Level Metrics for Detecting Incorrect Gold Annotations in Named Entity Recognition" accepted to EMNLP 2025 (findings)!
Our paper "Lemma Dilemma: On Lemma Generation Without Domain- or Language-Specific Training Data" accepted to EMNLP 2025 (findings)!
Our paper "Question Decomposition for Retrieval-Augmented Generation" accepted to ACL 2025 (SRW workshop)!
Our paper "From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts" accepted to ACL 2025 (L2M2 workshop)!
Our paper "Towards a Principled Evaluation of Knowledge Editors" accepted to ACL 2025 (L2M2 workshop)!
Our paper "Measuring Label Ambiguity in Subjective Tasks using Predictive Uncertainty Estimation" accepted to ACL 2025 (LAW workshop)!
Our paper "Evaluating Design Decisions for Dual Encoder-based Entity Disambiguation" accepted to ACL 2025 (main conference)!
Our paper "Pre-Training Curriculum for Multi-Token Prediction in Language Models" accepted to ACL 2025 (main conference)!
Our paper "Don't Mesh with Me: Generating Constructive Solid Geometry Instead of Meshes by Fine-Tuning a Code-Generation LLM" accepted to CVPR 2025 (AI for Content Creation Workshop)!
Our paper "Empirical Evaluation of Knowledge Distillation from Transformers to Subquadratic Language Models" now on arXiv!
Our paper "MastermindEval: A Simple But Scalable Reasoning Benchmark" accepted to ICLR 2025 (LLM Reasoning Workshop)!
We welcome our new PhD student Piet Wagner to the team!
Our paper "TransformerRanker: A Tool for Efficiently Finding the Best-Suited Language Models for Downstream Classification Tasks" accepted to NAACL 2025 (system demonstrations)!
Our paper "LM-Pub-Quiz: A Comprehensive Framework for Zero-Shot Evaluation of Relational Knowledge in Language Models" accepted to NAACL 2025 (system demonstrations)!
Our paper "Familarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data" accepted to NAACL 2025 (main conference)!