09/24/2024

Numerous publications accepted at EMNLP 2024

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).