This paper introduces DyadEE, a dataset for emotional entrainment detection in conversational interactions, and TRACE, a window-level framework for modeling dyadic interaction using emotion fine-tuned…

The paper establishes bijections between tree records, girth of connected endofunctions, and genesis sequences, deriving generating functions for tree and forest record numbers using Cayley's tree fun…

This paper tests the influence of Big Five personality on partner selection in multi-agent LLM systems, finding strong and task-stereotyped effects that diverge from human team performance.

The paper introduces 'bridges,' a type of morphism between encryption schemes, and provides a general recipe for constructing them, showing that their security relies on the security of the initial sc…

This paper introduces the ExpressionCueLens framework to analyze how anthropomorphism expressions are used in human-AI companion agent interactions on Reddit and XiaoHongShu, revealing cultural and pl…

This paper argues that norms, not individual choices, govern how young people use social media and proposes designing an independent platform to build trusted connections.

This paper investigates the prevalence and impact of relation chains in software review workflows using data from Gerrit, finding that they increase merge times and review effort propagation.

The paper shows that an oddomorphism between graphs does not imply graph minor containment and introduces a new structural relation called split-off minor.

The study finds that for a relational intervention to successfully restore a language model's behavior after functional collapse, both a relational structure (e.g., acknowledgment) and a first-person…

The paper introduces EUDAIMONIA, a new framework and benchmark for evaluating how well LLMs align with user welfare in social interactions, finding that even state-of-the-art models frequently violate…

This paper investigates how socially calibrated large language models distinguish when to incorporate others' perspectives from maintaining their own moral judgments, using three studies.

The paper introduces ERUnderstand, a benchmark for structured understanding of Entity-Relationship Diagrams (ERDs) with machine-readable representations for 2,960 diagrams.

This paper introduces a new way to represent finite posets as subwords of finite words in categories, and characterizes the monic categories that admit this representation.

This study explores why and how users customize social AI, identifying motivations and contributions to a closer relationship.

The paper investigates compositional abilities in LLMs and humans using the Personal Relation Task, finding that LLMs excel at the structured (Intensional) task while humans are better at the real-wor…

This study proposes a negotiation framework, using composite indices (RBTI and CATI), to explain how youth navigate competing privacy pressures when using smart voice assistants, finding that high usa…

This paper investigates the 'faithfulness gap' in LLM agents—the discrepancy between stated reasoning and actual action—by decomposing it into two opposing steps: reasoning-to-conclusion and conclusio…