138 citations · 146 across the 5 of their papers we have counts for
5 papers
Most biomedical publications show signs of LLM-assisted writing
Lena Holzwarth, Rita González-Márquez, Dmitry Kobak
Over the past several years, LLM-powered chatbots and agents have become widely used as a tool for academic writing. LLM-assisted writing can be valuable by removing language barri…
Cropping outperforms dropout as an augmentation strategy for self-supervised training of text embeddings
Rita González-Márquez, Philipp Berens, Dmitry Kobak
Text embeddings, i.e. vector representations of entire texts, play an important role in many NLP applications, such as retrieval-augmented generation, clustering, or visualizing co…
Delving into LLM-assisted writing in biomedical publications through excess vocabulary
Dmitry Kobak, Rita González-Márquez, Emőke-Ágnes Horvát +1
Large language models (LLMs) like ChatGPT can generate and revise text with human-level performance. These models come with clear limitations: they can produce inaccurate informati…
Learning representations of learning representations
Rita González-Márquez, Dmitry Kobak
The ICLR conference is unique among the top machine learning conferences in that all submitted papers are openly available. Here we present the ICLR dataset consisting of abstracts…
Scaling Down Deep Learning with MNIST-1D
Sam Greydanus, Dmitry Kobak
Although deep learning models have taken on commercial and political relevance, key aspects of their training and operation remain poorly understood. This has sparked interest in s…