10 papers
When Trust Meets Truth: Trust-Truth Separability in LLM-as-Judge
Xin Sun, Di Wu, Yuchen Guo +4
LLM-as-Judge systems can produce multi-dimensional evaluations, such as trustworthiness, reliability, and factuality, and these outputs are often interpreted as independent evidenc…
Visual Indicators to Increase the Detection of Linguistic Media Bias
Smi Hinterreiter, Anna Chelsea BahÃ, Ann-Christin Gah +3
The influence of linguistic bias in online news articles is a growing concern, particularly in the context of shaping public opinion and rising political polarization. While there…
Eyes Can't Always Tell: Fusing Eye Tracking and User Priors for User Modeling under AI Advice Conditions
Xin Sun, Shu Wei, Ting Pan +5
Modeling users' cognitive states (e.g., cognitive load and decision confidence) is essential for building adaptive AI in high-stakes decision-making. While eye tracking provides no…
SciDef: Datasets and Tools for Automated Definition Extraction from Scientific Literature with LLMs
Filip KuÄera, Christoph Mandl, Isao Echizen +2
Scientific concepts are often defined inconsistently across papers, making it difficult to compare findings, reuse terminology, and build reliable downstream resources. We present…
Structural Under-Representation of Women in News: Nonparametric Bayesian Mixtures Capture Time-Dependent Dynamics
Isabella Habereder, Thomas Kneib, Isao Echizen +1
The under-representation of women as sources cited in news media is one prominent representation of gender bias. Understanding where gender bias concentrates and how it evolves is…
Agentic Relationship Harm: Benchmarking and Gating Relational Manipulation in AI Agents
Pei-Sze Tan, Tasuku Igarashi, Isao Echizen
AI agents built on large language models can assist not only legitimate tasks but also relational manipulation. AI agents can be used to help a user maintain a deceptive identity,…