Temporal information retrieval has been a topic of great interest in recent years. Its purpose
is to improve the effectiveness of information retrieval methods by exploiting temporal …

In this work, we carry out a data archaeology to infer books that are known to ChatGPT and
GPT-4 using a name cloze membership inference query. We find that OpenAI models have …

Our world is constantly evolving, and so is the content on the web. Consequently, our
languages, often said to mirror the world, are dynamic in nature. However, most current …

The prediction of the publication period of textual documents, such as news articles,
represents a significant and relatively understudied problem within the realm of natural …

Citation analysis does not tell the whole story about the innovativeness of scientific papers.
Works by prominent authors tend to receive disproportionately many citations, while …

This work addresses information needs that have a temporal dimension conveyed by a
temporal expression in the user's query. Temporal expressions such as “in the 1990s” are …

The study of temporal dynamics and its impact can be framed within the so-called temporal
IR approaches, which explain how user behavior, document content and scale vary with …

Document date is essential for many important tasks, such as document retrieval,
summarization, event detection, etc. While existing approaches for these tasks assume …

Recent work on analyzing query logs shows that a significant fraction of queries are
temporal, ie, relevancy is dependent on time, and temporal queries play an important role in …

Taking the temporal dimension into account in searching, ie, using time of content creation
as part of the search condition, is now gaining increasingly interest. However, in the case of …