Genre as Weak Supervision for Cross-lingual Dependency Parsing. - Max Müller-Eberstein; Rob van der Goot; Barbara Plank (EMNLP (1), 2021)

How Universal is Genre in Universal Dependencies? - Max Müller-Eberstein; Rob van der Goot; Barbara Plank (CoRR, 2021)

Probing for Labeled Dependency Trees. - Max Müller-Eberstein; Rob van der Goot; Barbara Plank (ACL (1), 2022)

On Language Spaces, Scales and Cross-Lingual Transfer of UD Parsers. - Tanja Samardzic; Ximena Gutierrez-Vasques; Rob van der Goot; Max Müller-Eberstein; Olga Pelloni; Barbara Plank (CoNLL, 2022)

Evidence textgreater Intuition: Transferability Estimation for Encoder Selection. - Elisa Bassignana; Max Müller-Eberstein; Mike Zhang; Barbara Plank (EMNLP, 2022)

Spectral Probing. - Max Müller-Eberstein; Rob van der Goot; Barbara Plank (EMNLP, 2022)

Experimental Standards for Deep Learning in Natural Language Processing Research. - Dennis Ulmer; Elisa Bassignana; Max Müller-Eberstein; Daniel Varab; Mike Zhang; Rob van der Goot; Christian Hardmeier; Barbara Plank (EMNLP (Findings), 2022)

Frustratingly Easy Performance Improvements for Low-resource Setups: A Tale on BERT and Segment Embeddings. - Rob van der Goot; Max Müller-Eberstein; Barbara Plank (LREC, 2022)

Sort by Structure: Language Model Ranking as Dependency Probing. - Max Müller-Eberstein; Rob van der Goot; Barbara Plank (NAACL-HLT, 2022)

Experimental Standards for Deep Learning Research: A Natural Language Processing Perspective. - Dennis Ulmer; Elisa Bassignana; Max Müller-Eberstein; Daniel Varab; Mike Zhang; Christian Hardmeier; Barbara Plank (CoRR, 2022)

Evidence > Intuition: Transferability Estimation for Encoder Selection. - Elisa Bassignana; Max Müller-Eberstein; Mike Zhang; Barbara Plank (CoRR, 2022)

Establishing Trustworthiness: Rethinking Tasks and Model Evaluation. - Robert Litschko; Max Müller-Eberstein; Rob van der Goot; Leon Weber-Genzel; Barbara Plank (EMNLP, 2023)

Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training. - Max Müller-Eberstein; Rob van der Goot; Barbara Plank; Ivan Titov 001 (EMNLP (Findings), 2023)

DanTok: Domain Beats Language for Danish Social Media POS Tagging. - Kia Kirstein Hansen; Maria Barrett; Max Müller-Eberstein; Cathrine Damgaard; Trine Eriksen; Rob van der Goot (NoDaLiDa, 2023)

Can Humans Identify Domains? - Maria Barrett; Max Müller-Eberstein; Elisa Bassignana; Amalie Brogaard Pauli; Mike Zhang; Rob van der Goot (LREC/COLING, 2024)

Enough Is Enough! a Case Study on the Effect of Data Size for Evaluation Using Universal Dependencies. - Rob van der Goot; Zoey Liu; Max Müller-Eberstein (LREC/COLING, 2024)

SnakModel: Lessons Learned from Training an Open Danish Large Language Model. - Mike Zhang; Max Müller-Eberstein; Elisa Bassignana; Rob van der Goot (CoRR, 2024)

Hypernetworks for Personalizing ASR to Atypical Speech. - Max Müller-Eberstein; Dianna Yee; Karren D. Yang; Gautam Varma Mantena; Colin Lea (Trans. Assoc. Comput. Linguistics, 2024)

PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs. - Oskar van der Wal; Pietro Lesci; Max Müller-Eberstein; Naomi Saphra; Hailey Schoelkopf; Willem H. Zuidema; Stella Biderman (ICLR, 2025)

DaKultur: Evaluating the Cultural Awareness of Language Models for Danish with Native Speakers. - Max Müller-Eberstein; Mike Zhang; Elisa Bassignana; Peter Brunsgaard Trolle; Rob van der Goot (CoRR, 2025)