Numerous scientific publications from our department were accepted at the Conference on Empirical Methods in Natural Language Processing (EMNLP) 2024.
Congratulations to all authors!
- "Strengthening Structural Inductive Biases by Pre-training to Perform Syntactic Transformations." by Matthias Lindemann, Alexander Koller and Ivan Titov.
Proceedings (EMNLP). - "Toward Compositional Behavior in Neural Models: A Survey of Current Views." by Kate McCurdy, Paul Soulos and Paul Smolensky.
Proceedings (EMNLP). - "Language models and brain alignment: beyond word-level semantics and prediction. " by Gabriele Merlin and Mariya Toneva.
- "From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP." by Marius Mosbach, Vagrant Gautam, Tomás Vergara Browne, Dietrich Klakow and Mor Geva.
Proceedings (EMNLP). - "MMAR: Multilingual and Multimodal Anaphora Resolution in Instructional Videos." by Cennet Oguz, Pascal Denis, Simon Ostermann, Emmanuel Vincent, Natalia Skachkova and Josef van Genabith.
Findings (EMNLP). - "Interpreting Translation Artifacts: A Comparative Analysis of LLMs, NMTs, and Human Translations." by Fedor Sizov, Cristina España-Bonet, Josef van Genabith, Roy Xie and Koel Dutta Chowdhury.
(WMT 2024). - "Anderstanding ‘Democratization’ in NLP and ML Research." by Arjun Subramonian, Vagrant Gautam, Dietrich Klakow and Zeerak Talat.
Proceedings (EMNLP). - "CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems." by Qianli Wang, Tatiana Anikina, Nils Feldhus, Simon Ostermann and Sebastian Möller.
Findings (EMNLP). - "RSA-Control: A Pragmatics-Groanded Lightweight Controllable Text Generation Framework." by Yifan Wang and Vera Demberg.
Proceedings (EMNLP). - "Scope-enhanced Compositional Semantic Parsing for DRT." by Xiulin Yang, Jonas Groschwitz, Johan Bos and Alexander Koller.
Proceedings (EMNLP). - "Predicting generalization performance with correctness discriminators." by Yuekun Yao and Alexander Koller.
Findings (EMNLP). - "Fine-Tuning Large Language Models to Translate: Will a Touch of Noisy Data in Misaligned Languages Suffice?" by Dawei Zhu, Pinzhen Chen, Miaoran Zhang, Barry Haddow, Xiaoyu Shen and Dietrich Klakow.
Proceedings. (EMNLP).