04.12.2023

MCML at EMNLP 2023

Conference on Empirical Methods in Natural Language Processing (EMNLP 2023). Singapore, December 06-12, 2023

We are happy to announce that MCML researchers are represented with 16 papers at EMNLP 2023:

M. Di Marco, K. Hämmerl and A. Fraser.
A Study on Accessing Linguistic Information in Pre-Trained Language Models by Using Prompts.
DOI.

E. Garces Arias, V. Pai, M. Schöffel, C. Heumann and M. Aßenmacher.
Automatic transcription of handwritten Old Occitan language.
DOI.

M. Giulianelli, J. Baan, W. Aziz, R. Fernández and B. Plank.
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability.
DOI.

V. Hangya, S. Severini, R. Ralev, A. Fraser and H. Schütze.
Multilingual Word Embeddings for Low-Resource Languages using Anchors and a Chain of Related Languages.
DOI.

A. H. Kargaran, A. Imani, F. Yvon and H. Schütze.
GlotLID: Language Identification for Low-Resource Languages. (Findings paper).
DOI. GitHub.

C. Kern, S. Eckman, J. Beck, R. Chew, B. Ma and F. Kreuter.
Annotation Sensitivity: Training Data Collection Methods Affect Model Performance. (Findings paper).
DOI.

A. Köksal, T. Schick and H. Schütze.
MEAL: Stable and Active Learning for Few-Shot Prompting. (Findings paper).
DOI. GitHub.

A. Köksal, O. Yalcin, A. Akbiyik, M. Kilavuz, A. Korhonen and H. Schütze.
Language-Agnostic Bias Detection in Language Models with Bias Probing. (Findings paper).
DOI. GitHub.

W. Lai, A. Chronopoulou and A. Fraser.
Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation. (Findings paper).
DOI.

R. Litschko, M. Müller-Eberstein, R. van der Goot, L. Weber-Genzel and B. Plank.
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation.
DOI.

Y. Liu, H. Ye, L. Weissweiler and H. Schütze.
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs. (Findings paper).
DOI.

M. Müller-Eberstein, R. van der Goot, B. Plank and I. Titov.
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training. (Findings paper).
DOI.

E. Nie, H. Schmid and H. Schütze.
Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration. (Findings paper).
DOI.

X. Wang and B. Plank.
ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation.
DOI.

L. Weissweiler, V. Hofmann, A. Kantharuban, A. Cai, R. Dutt, A. Hengle, A. Kabra, A. Kulkarni, A. Vijayakumar, H. Yu, H. Schütze, K. Oflazer and D. Mortensen.
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model.
DOI.

S. Xu, S. T.y.s.s, O. Ichim, I. Risini, B. Plank and M. Grabmair.
From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification.
DOI.

04.12.2023

10.09.2024

MCML at ECML-PKDD 2024

We are happy to announce that MCML researchers are represented at ECML-PKDD 2024.

14.08.2024

MCML at ACL 2024

We are happy to announce that MCML researchers are represented at the 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024).

20.07.2024

MCML at ICML 2024

We are happy to announce that MCML researchers are represented at the 41st International Conference on Machine Learning (ICML 2024).

15.07.2024

MCML at UAI 2024

We are happy to announce that MCML researchers are represented at the 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024).

14.06.2024

MCML at CVPR 2024

We are happy to announce that MCML researchers are represented at the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024.