1 citations · 2 across the 8 of their papers we have counts for
8 papers
Preliminary Ranking of WMT25 General Machine Translation Systems
Tom Kocmi, Eleftherios Avramidis, Rachel Bawden +25
We present the preliminary rankings of machine translation (MT) systems submitted to the WMT25 General Machine Translation Shared Task, as determined by automatic evaluation metric…
Distributional Properties of Subword Regularization
Marco Cognetta, Vilém Zouhar, Naoaki Okazaki
Subword regularization, used widely in NLP, improves model performance by reducing the dependency on exact tokenizations, augmenting the training corpus, and exposing the model to…
How to Engage Your Readers? Generating Guiding Questions to Promote Active Reading
Peng Cui, Vilém Zouhar, Xiaoyu Zhang +1
Using questions in written text is an effective strategy to enhance readability. However, what makes an active reading question good, what the linguistic role of these questions is…
Two Counterexamples to Tokenization and the Noiseless Channel
Marco Cognetta, Vilém Zouhar, Sangwhan Moon +1
In Tokenization and the Noiseless Channel (Zouhar et al., 2023a), Rényi efficiency is suggested as an intrinsic mechanism for evaluating a tokenizer: for NLP tasks, the tokenizer w…
AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails
Sankalan Pal Chowdhury, Vilém Zouhar, Mrinmaya Sachan
Large Language Models (LLMs) have found several use cases in education, ranging from automatic question generation to essay evaluation. In this paper, we explore the potential of u…
Stolen Subwords: Importance of Vocabularies for Machine Translation Model Stealing
Vilém Zouhar
In learning-based functionality stealing, the attacker is trying to build a local model based on the victim's outputs. The attacker has to make choices regarding the local model's…