Language models contain ranking-based knowledge and are powerful solvers of in-context
ranking tasks. For instance, they may have parametric knowledge about the ordering of …

This study utilizes Independent Component Analysis (ICA) to unveil a consistent semantic
structure within embeddings of words or images. Our approach extracts independent …

The topic of fair allocation of indivisible items has been receiving significant attention
because of its applicability in real-world settings, such as budgeted course allocations, room …

Identity is one of the most commonly studied constructs in social science. However, despite
extensive theoretical work on identity, there remains a need for additional empirical data to …

The rise of deep neural networks in machine learning has been remarkable, leading to their
deployment in algorithmic decision-making. However, this has raised questions about the …

A large body of research suggests that better-looking people are associated with a variety of
positive economic outcomes, an effect labeled the beauty premium. However, the vast …

The distributed representations currently used are dense and uninterpretable, leading to
interpretations that themselves are relative, overcomplete, and hard to interpret. We propose …