The recent success of large language models (LLMs) trained on static, pre-collected,
general datasets has sparked numerous research directions and applications. One such …

Existing research has shown that large language models (LLMs) exhibit remarkable
performance in language understanding and generation. However, when LLMs are …

Automatic summarization has consistently attracted attention, due to its versatility and wide
application in various downstream tasks. Despite its popularity, we find that annotation …

Encoder models trained for the embedding of sentences or short documents have proven
useful for tasks such as semantic search and topic modeling. In this paper, we present a …

Large language models like ChatGPT can be used to generate seemingly human-like text.
However, it is still not well understood how their output differs from text written by humans …

For a growing number of knowledge workers, the rapid ingestion of textual information is
crucial for their daily tasks. Confronted with expansive bodies of text, the fastest way to glean …