14.08.2024
MCML at ACL 2024
The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024). Bangkok, Thailand, August 11–16, 2024
We are happy to announce that MCML researchers are represented with 22 papers at ACL 2024:
M. Aßenmacher, A. Stephan, L. Weissweiler, E. Çano, I. Ziegler, M. Härttrich, B. Bischl, B. Roth, C. Heumann and H. Schütze.
Collaborative Development of Modular Open Source Educational Resources for Natural Language Processing. (Workshop paper).
URL.
Collaborative Development of Modular Open Source Educational Resources for Natural Language Processing. (Workshop paper).
URL.
V. Blaschke, C. Purschke, H. Schütze and B. Plank.
What Do Dialect Speakers Want? A Survey of Attitudes Towards Language Technology for German Dialects.
URL.
What Do Dialect Speakers Want? A Survey of Attitudes Towards Language Technology for German Dialects.
URL.
L. Christ, S. Amiriparian, M. Milling, I. Aslan and B. W. Schuller.
Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning. (Findings paper).
URL.
Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning. (Findings paper).
URL.
A. Dimmelmeier, H. C. Doll, M. Schierholz, E. Kormanyos, M. Fehr, B. Ma, J. Beck, A. Fraser and F. Kreuter.
Informing climate risk analysis using textual information - A research agenda. (Workshop paper).
URL.
Informing climate risk analysis using textual information - A research agenda. (Workshop paper).
URL.
W. Lai, M. Mesgar and A. Fraser.
LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback. (Findings paper).
URL.
LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual Feedback. (Findings paper).
URL.
Y. Liu, C. Ma, H. Ye and H. Schütze.
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models.
URL.
TransliCo: A Contrastive Learning Framework to Address the Script Barrier in Multilingual Pretrained Language Models.
URL.
T. Liu, I. Škrjanec and V. Demberg.
Temperature-scaling surprisal estimates improve fit to human reading times – but does it do so for the 'right reasons'?.
URL.
Temperature-scaling surprisal estimates improve fit to human reading times – but does it do so for the 'right reasons'?.
URL.
A. Maarouf, D. Bär, D. Geissler and S. Feuerriegel.
HQP: A human-annotated dataset for detecting online propaganda. (Findings paper).
URL.
HQP: A human-annotated dataset for detecting online propaganda. (Findings paper).
URL.
P. Mondorf and B. Plank.
Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning.
URL.
Comparing Inferential Strategies of Humans and Large Language Models in Deductive Reasoning.
URL.
J. Pavlopoulos, V. Kougia, E. Garces Arias, P. Platanou, S. Shabalin, K. Liagkou, E. Papadatos, H. Essler, J.-B. Camps and F. Fischer.
Challenging Error Correction in Recognised Byzantine Greek. (Workshop paper).
URL.
Challenging Error Correction in Recognised Byzantine Greek. (Workshop paper).
URL.
P. Röttger, V. Hofmann, V. Pyatkin, M. Hinck, H. R. Kirk, H. Schütze and D. Hovy.
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models.
URL.
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models.
URL.
L. K. Senel, B. Fetahu, D. Yoshida, Z. Chen, G. Castellucci, N. Vedula, J. I. Choi and S. Malmasi.
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers.
URL.
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers.
URL.
C. Tomani, D. Vilar, M. Freitag, C. Cherry, S. Naskar, M. Finkelstein, X. Garcia and D. Cremers.
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model.
URL.
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model.
URL.
X. Wang, B. Ma, C. Hu, L. Weber-Genzel, P. Röttger, F. Kreuter, D. Hovy and B. Plank.
My Answer is C: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models. (Findings paper).
URL.
My Answer is C: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models. (Findings paper).
URL.
L. Weber-Genzel, S. Peng, M.-C. de Marneffe and B. Plank.
VariErr NLI: Separating Annotation Error from Human Label Variation.
URL.
VariErr NLI: Separating Annotation Error from Human Label Variation.
URL.
P. Wicke and L. Wachowiak.
Exploring Spatial Schemas in Large Language Models. (Findings paper).
URL.
Exploring Spatial Schemas in Large Language Models. (Findings paper).
URL.
S. Xu, S. T.y.s.s, O. Ichim, I. Risini, B. Plank and M. Grabmair.
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification.
URL.
Through the Lens of Split Vote: Exploring Disagreement, Difficulty and Calibration in Legal Case Outcome Classification.
URL.
S. Yuan, E. Nie, M. Färber, H. Schmid and H. Schütze.
GNNAVI: Navigating the Information Flow in Large Language Models by Graph Neural Network. (Findings paper).
URL.
GNNAVI: Navigating the Information Flow in Large Language Models by Graph Neural Network. (Findings paper).
URL.
A. Yüksel, A. Köksal, L. K. Senel, A. Korhonen and H. Schütze.
TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish. (Workshop paper).
arXiv.
TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish. (Workshop paper).
arXiv.
M. Zhang, V. Gautam, M. Wang, J. O. Alabi, X. Shen, D. Klakow and M. Mosbach.
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis. (Findings paper).
URL.
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis. (Findings paper).
URL.
14.08.2024
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