output
20192026
most citedLearning to See: You Are What You See

27 citations

13 papers

cs.CY2026

Make it SewSimple: Navigating UK Curriculum and Classroom Practice in Secondary Computing Education with E-textiles

Yifan Feng, Hanlin Zhang, Yishan Du +3

This paper explores the potential of integrating e-textiles as part of the approach to delivering computing in UK secondary schools. As one of the few UK-based exploratory studies…

cs.MM2026

World Simulator: Queer Erotica and the Absurdity of AI Video Models That Promise the World

Adam Cole, Mick Grierson

Increasingly, AI video models are marketed as "world simulators," suggesting their ability to model infinite realities. Despite such claims, these models systematically exclude sig…

cs.MM2026

AttentionBender: Manipulating Cross-Attention in Video Diffusion Transformers as a Creative Probe

Adam Cole, Mick Grierson

We present AttentionBender, a tool that manipulates cross-attention in Video Diffusion Transformers to help artists probe the internal mechanics of black-box video generation. Whil…

cs.HC2025

Telling stories, making Hanzi: AI-assisted co-creation with elderly migrants in urban China

Yunfei Chen, Wen Zhan, Peiyue Lin +2

This paper explores how older migrants in urban China can record stories that everyday language and design often miss. We ran two co-creation workshops with 10 elders. Activities c…

cs.HC2025★ 8 cited

Cracking Aegis: An Adversarial LLM-based Game for Raising Awareness of Vulnerabilities in Privacy Protection

Jiaying Fu, Yiyang Lu, Zehua Yang +2

Traditional methods for raising awareness of privacy protection often fail to engage users or provide hands-on insights into how privacy vulnerabilities are exploited. To address t…

cs.CL2025★ 5 cited

Guiding Generative Storytelling with Knowledge Graphs

Zhijun Pan, Antonios Andronis, Eva Hayek +6

Large language models (LLMs) have shown great potential in story generation, but challenges remain in maintaining long-form coherence and effective, user-friendly control. Retrieva…