We analyze the behaviors of open large language models (LLMs) on the task of data-to-text
(D2T) generation, ie, generating coherent and relevant text from structured data. To avoid …

Despite impressive advances in Natural Language Generation (NLG) and Large Language
Models (LLMs), researchers are still unclear about important aspects of NLG evaluation. To …

Heterogenity of data-to-text generation datasets limits the research on data-to-text
generation systems. We present TabGenie-a toolkit which enables researchers to explore …

What is language and who or what can be said to have it? In this essay we consider this
question in the context of interactions with non-humans, specifically: animals and computers …

In this paper, we investigate how different semantic, or content-related, errors made by
different types of data-to-text systems differ in terms of number and type. In total, we examine …

Das Training der Modelle erfolgt in zwei Phasen: In einem ersten Schritt liest das System
weitgehend eigenständig (unüberwacht) große Mengen an Texten ein und bildet daraus …

The evaluation methodology of natural language generation (” NLG”= systems generating
text based on some kind of input) is currently in a state of a hopefully productive confusion …

What is language and who or what can be said to have it? In this essay we consider this
question in the context of interactions with non-humans, specifically: animals and computers …