Accepted Papers

• MoSECroT: Model Stitching with Static Word Embeddings for Crosslingual Zero-shot Transfer Haotian Ye, Yihong Liu, Chunlan Ma and Hinrich Schütze

• What explains the success of cross-modal fine-tuning with ORCA? Paloma Garcia de Herreros Garcia, Vagrant Gautam, Philipp Slusallek, Dietrich Klakow and Marius Mosbach

• Does Fine-tuning a Classifier Help in Low-budget Scenarios? Not Much Cesar Gonzalez-Gutierrez Audi Primadhanty Francesco Cazzaro Ariadna Quattoni

• How Well Can a Genetic Algorithm Fine-tune Transformer Encoders? A First Approach Vicente Ivan, Sanchez Carmona, Shanshan Jiang and Bin Dong

• I Have an Attention Bridge to Sell You: Generalization Capabilities of Modular Translation Architectures Timothee Mickus, Raul Vazquez and Joseph Attieh

• Knowledge Distillation vs. Pretraining from Scratch under a Fixed (Computation) Budget Minh Duc, Bui Fabian, Schmidt Goran Glavaš, Katharina von der Wense

• An Analysis of BPE Vocabulary Trimming in Neural Machine Translation Marco Cognetta, Tatsuya Hiraoka, Rico Sennrich, Yuval Pinter, Naoaki Okazaki

• On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization Jordi Armengol-Estapé, Vincent Michalski,Ramnath Kumar, Pierre-Luc St-Charles, Doina Precup and Samira Ebrahimi Kahou

• Pointer-Generator Networks for Low-Resource Machine Translation: Don’t Copy That! Niyati Bafna, Philipp Koehn and David Yarowsky

• Imaginary Numbers! Evaluating Numerical Referring Expressions by Neural End-to-End Surface Realization Systems Rossana Cunha, Osuji Chinonso, João Campos, Brian Timoney, Brian Davis, Fabio Cozman, Adriana Pagano and Thiago Castro Ferreira

• Using Locally Learnt Word Representations for better Textual Anomaly Detection Alicia Breidenstein and Matthieu Labeau

• Can probing classifiers reveal the learning by contact center large language models?: No, it doesn’t! Varun Nathan, Ayush Kumar and Digvijay Ingle

• Can Abstract Meaning Representation Facilitate Fair Legal Judgement Predictions? Supriti Vijay andDaniel Hershcovich

• WINOVIZ: Probing Visual Properties of Objects Under Different States

• Woojeong Jin, Tejas Srinivasan, Jesse Thomason and Xiang Ren

• Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing KV Aditya Srivatsa, Kaushal Maurya and Ekaterina Kochmar

• The Paradox of Preference: A Study on LLM Alignment Algorithms and Data Acquisition Methods Rishikesh Devanathan, Varun Nathan and Ayush Kumar

• The Ups and Downs of Large Language Model Inference with Vocabulary Trimming by Language Heuristics Nikolay Bogoychev, Pinzhen Chen, Barry Haddow and Alexandra Birch.

• Multi-Task Learning with Adapters for Plausibility Prediction: Bridging the Gap or Falling into the Trenches? Annerose Eichel Sabine Schulte im Walde

• Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation Models Alireza Mohammadshahi, Jannis Vamvas and Rico Sennrich