05.12.2023
MCML at EMNLP 2023
17 Accepted Papers (9 Main, 7 Findings, and 1 Workshop)
Conference on Empirical Methods in Natural Language Processing, Singapore, Dec 06-10, 2023
We are happy to announce that MCML researchers have contributed a total of 17 papers to EMNLP 2023: 9 Main, 7 Findings, and 1 Workshop papers. Congrats to our researchers!
Main Track (9 papers)
M. Weller-Di Marco • K. Hämmerl • A. Fraser
A Study on Accessing Linguistic Information in Pre-Trained Language Models by Using Prompts.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
A Study on Accessing Linguistic Information in Pre-Trained Language Models by Using Prompts.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
M. Giulianelli • J. Baan • W. Aziz • R. Fernández • B. Plank
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
E. Garces Arias • V. Pai • M. Schöffel • C. Heumann • M. Aßenmacher
Automatic transcription of handwritten Old Occitan language.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
Automatic transcription of handwritten Old Occitan language.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
N. Kassner • O. Tafjord • A. Sabharwal • K. Richardson • H. Schütze • P. Clark
Language Models with Rationality.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
Language Models with Rationality.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
R. Litschko • M. Müller-Eberstein • R. van der Goot • L. Weber-Genzel • B. Plank
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
Establishing Trustworthiness: Rethinking Tasks and Model Evaluation.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
M. Wang • H. Adel • L. Lange • J. Strötgen • H. Schütze
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
GradSim: Gradient-Based Language Grouping for Effective Multilingual Training.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. 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 • D. Mortensen
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
Counting the Bugs in ChatGPT's Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
X. Wang • B. Plank
ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
ACTOR: Active Learning with Annotator-specific Classification Heads to Embrace Human Label Variation.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
S. Xu • S. T.y.s.s • O. Ichim • I. Risini • B. Plank • M. Grabmair
From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification.
EMNLP 2023 - Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
Findings Track (7 papers)
A. H. Kargaran • A. Imani • F. Yvon • H. Schütze
GlotLID: Language Identification for Low-Resource Languages.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI GitHub
GlotLID: Language Identification for Low-Resource Languages.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI GitHub
A. Köksal • T. Schick • H. Schütze
MEAL: Stable and Active Learning for Few-Shot Prompting.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI GitHub
MEAL: Stable and Active Learning for Few-Shot Prompting.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI GitHub
A. Köksal • O. Yalcin • A. Akbiyik • M. T. Kilavuz • A. Korhonen • H. Schütze
Language-Agnostic Bias Detection in Language Models with Bias Probing.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI GitHub
Language-Agnostic Bias Detection in Language Models with Bias Probing.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI GitHub
W. Lai • A. Chronopoulou • A. Fraser
Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
Mitigating Data Imbalance and Representation Degeneration in Multilingual Machine Translation.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
Y. Liu • H. Ye • L. Weissweiler • R. Pei • H. Schütze
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
Crosslingual Transfer Learning for Low-Resource Languages Based on Multilingual Colexification Graphs.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
M. Müller-Eberstein • R. van der Goot • B. Plank • I. Titov
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
Subspace Chronicles: How Linguistic Information Emerges, Shifts and Interacts during Language Model Training.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
E. Nie • H. Schmid • H. Schütze
Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
Unleashing the Multilingual Encoder Potential: Boosting Zero-Shot Performance via Probability Calibration.
Findings @EMNLP 2023 - Findings of the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
Workshops (1 paper)
V. Hangya • S. Severini • R. Ralev • A. Fraser • H. Schütze
Multilingual Word Embeddings for Low-Resource Languages using Anchors and a Chain of Related Languages.
MRL @EMNLP 2023 - 3rd Workshop on Multi-lingual Representation Learning at the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
Multilingual Word Embeddings for Low-Resource Languages using Anchors and a Chain of Related Languages.
MRL @EMNLP 2023 - 3rd Workshop on Multi-lingual Representation Learning at the Conference on Empirical Methods in Natural Language Processing. Singapore, Dec 06-10, 2023. DOI
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