6 citations · 7 across the 5 of their papers we have counts for
5 papers · 1 filter
Different Time, Different Language: Revisiting the Bias Against Non-Native Speakers in GPT Detectors
Adnan Al Ali, Jindřich Helcl, Jindřich Libovický
LLM-based assistants have been widely popularised after the release of ChatGPT. Concerns have been raised about their misuse in academia, given the difficulty of distinguishing bet…
OpusCleaner and OpusTrainer, open source toolkits for training Machine Translation and Large language models
Nikolay Bogoychev, Jelmer van der Linde, Graeme Nail +7
Developing high quality machine translation systems is a labour intensive, challenging and confusing process for newcomers to the field. We present a pair of tools OpusCleaner and…
CUNI Submission to MRL 2023 Shared Task on Multi-lingual Multi-task Information Retrieval
Jindřich Helcl, Jindřich Libovický
We present the Charles University system for the MRL~2023 Shared Task on Multi-lingual Multi-task Information Retrieval. The goal of the shared task was to develop systems for name…
CUNI Non-Autoregressive System for the WMT 22 Efficient Translation Shared Task
Jindřich Helcl
We present a non-autoregressive system submission to the WMT 22 Efficient Translation Shared Task. Our system was used by Helcl et al. (2022) in an attempt to provide fair comparis…
Improving Fluency of Non-Autoregressive Machine Translation
Zdeněk Kasner, Jindřich Libovický, Jindřich Helcl
Non-autoregressive (nAR) models for machine translation (MT) manifest superior decoding speed when compared to autoregressive (AR) models, at the expense of impaired fluency of the…