Accurate and consistent evaluation is crucial for decision-making across numerous fields,
yet it remains a challenging task due to inherent subjectivity, variability, and scale. Large …

Rigorous and reproducible evaluation is critical for assessing the state of the art and for
guiding scientific advances in Artificial Intelligence. Evaluation is challenging in practice due …

Journalists engage in multiple steps in the news writing process that depend on human
creativity, like exploring different “angles”(ie the specific perspectives a reporter takes) …

Keyword mnemonics are memorable explanations that link new terms to simpler keywords.
Prior work generates mnemonics for students, but they do not train models using mnemonics …

Hallucinations in large language models (LLMs) are always seen as limitations. However,
could they also be a source of creativity? This survey explores this possibility, suggesting …

Large language models appear quite creative, often performing on par with the average
human on creative tasks. However, research on LLM creativity has focused solely on\textit …

Physical reasoning is an important skill needed for robotic agents when operating in the real
world. However, solving such reasoning problems often involves hypothesizing and …

Narrative creativity is a new, neuroscience-based approach to innovation, problem solving,
and resilience that has proved effective in business executives, scientists, engineers …

Artificial intelligence has, so far, largely automated routine tasks, but what does it mean for
the future of work if Large Language Models (LLMs) show creativity comparable to humans …

Large vision language models (VLMs) have demonstrated significant potential for
integration into daily life, making it crucial for them to incorporate human values when …