about
I am a fourth year phd candidate at the lab of machine learning at humboldt university of berlin, supervised by Prof. Dr. Alan Akbik. My research focuses on data-efficient transfer learning, mainly around structured information extraction.
news
10/24 - Seminar: We give a seminar on efficient machine learning for natural language processing this semester (winter 24/25).
06/24 - Internship: I will be doing a 14-week summer internship at Amazon Alexa AI!
03/24 - PECC available on Hugging Face: Our dataset and the corresponding leaderboard is available on Hugging Face!
02/24 - Paper accepted: Our paper PECC: Problem Extraction and Coding Challenges got accepted to LREC-COLING 2024!
01/24 - Paper accepted: Our paper Large-Scale Label Interpretation Learning for Few-Shot Named Entity Recognition got accepted to EACL 2024! You can also find the paper also on arxiv.
10/23 - Paper accepted: Our demo paper on fabricator got accepted to EMNLP 2023!
06/23 - New open-source package: Our open-source package for generating synthetic datasets, fabricator, is available on GitHub.
11/22 - New preprint available: Our paper BLOOM: A 176B-Parameter Open-Access Multilingual Language Model is now available on arxiv!
09/22 - Paper accepted: Our paper BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing got accepted to NeurIPS 2022.
06/22 - New preprint available: BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing, a large-scale biomedical dataset which was developed as part of the BigScience workshop.