The existing works on object-level language grounding with 3D objects mostly focus on
improving performance by utilizing the off-the-shelf pre-trained models to capture features …

We report on the systems that the Math Information Retrieval group at Masaryk University
(mirmu) and the team of Faculty of Informatics students (msm) prepared for task 1 (find …

While the Large Language Models (LLMs) dominate a majority of language understanding
tasks, previous work shows that some of these results are supported by modelling spurious …

Despite the rapid recent progress in creating accurate and compact in-context learners, most
recent work focuses on in-context learning (ICL) for tasks in English. However, the ability to …

Many recent language models (LMs) are capable of in-context learning (ICL), manifested in
the LMs' ability to perform a new task solely from natural-language instruction. Previous work …

Domain adaptation allows generative language models to address specific flaws caused by
the domain shift of their application. However, the traditional adaptation by further training on …