We conduct a feasibility study into the applicability of answer-agnostic question generation
models to textbook passages. We show that a significant portion of errors in such systems …

In recent years, large neural networks for natural language generation (NLG) have made leaps
and bounds in their ability to generate fluent text. However, the tasks of evaluating quality …

As text generated by large language models proliferates, it becomes vital to understand
how humans engage with such text, and whether or not they are able to detect when the text …

Mechanospray ionization (MoSI) is a technique that produces ions directly from solution-like
electrospray ionization (ESI) but without the need of a high voltage. In MoSI, mechanical …

Recent work has shown that prompting language models with code-like representations of
natural language leads to performance improvements on structured reasoning tasks. However…

Many commercial and open-source models claim to detect machine-generated text with
very high accuracy (99\% or higher). However, very few of these detectors are evaluated on …

One type of question that is commonly found in day-to-day scenarios is “fan-out” questions,
complex multi-hop, multi-document reasoning questions that require finding information …

Emissions from volatile chemical products (VCPs) are emerging as a major source of
anthropogenic secondary organic aerosol (SOA) precursors. Paints and coatings are an important …

We address the problem of generating high-quality question-answer pairs for educational
materials. Previous work on this problem showed that using summaries as input improves the …

One type of question that is commonly found in day-to-day scenarios is ``fan-out'' questions,
complex multi-hop, multi-document reasoning questions that require finding information …