3 citations · 3 across the 10 of their papers we have counts for
10 papers
Order Is Not Layout: Order-to-Space Bias in Image Generation
Yongkang Zhang, Zonglin Zhao, Yuechen Zhang +3
We study a systematic bias in modern image generation models: the mention order of entities in text spuriously determines spatial layout and entity--role binding. We term this phen…
EfficientPosterGen: Semantic-aware Efficient Poster Generation via Token Compression and Accurate Violation Detection
Wenxin Tang, Jingyu Xiao, Yanpei Gong +6
Automated academic poster generation aims to distill lengthy research papers into concise, visually coherent presentations. Existing Multimodal Large Language Models (MLLMs) based…
Inference-Time Scaling of Verification: Self-Evolving Deep Research Agents via Test-Time Rubric-Guided Verification
Yuxuan Wan, Tianqing Fang, Zaitang Li +5
Recent advances in Deep Research Agents (DRAs) are transforming automated knowledge discovery and problem-solving. While the majority of existing efforts focus on enhancing policy…
ComboBench: Can LLMs Manipulate Physical Devices to Play Virtual Reality Games?
Shuqing Li, Jiayi Yan, Chenyu Niu +5
Virtual Reality (VR) games require players to translate high-level semantic actions into precise device manipulations using controllers and head-mounted displays (HMDs). While huma…
Metamorphic Testing for Audio Content Moderation Software
Wenxuan Wang, Yongjiang Wu, Junyuan Zhang +5
The rapid growth of audio-centric platforms and applications such as WhatsApp and Twitter has transformed the way people communicate and share audio content in modern society. Howe…
3D Software Synthesis Driven by Constraint-Expressive Intermediate Representation
Shuqing Li, Anson Y. Lam, Yun Peng +2
Graphical user interface (UI) software has undergone a fundamental transformation from traditional two-dimensional (2D) desktop/web/mobile interfaces to spatial three-dimensional (…
Where Fact Ends and Fairness Begins: Redefining AI Bias Evaluation through Cognitive Biases
Jen-tse Huang, Yuhang Yan, Linqi Liu +4
Recent failures such as Google Gemini generating people of color in Nazi-era uniforms illustrate how AI outputs can be factually plausible yet socially harmful. AI models are incre…
Code Benchmarks Should Prioritize Rigor, Reliability, and Reproducibility
Jialun Cao, Yuk-Kit Chan, Zixuan Ling +12
Code-related benchmarks play a critical role in evaluating large language models (LLMs), yet their quality fundamentally shapes how the community interprets model capabilities. In…
MRWeb: An Exploration of Generating Multi-Page Resource-Aware Web Code from UI Designs
Yuxuan Wan, Yi Dong, Jingyu Xiao +3
Multi-page websites dominate modern web development. However, existing design-to-code methods rely on simplified assumptions, limiting to single-page, self-contained webpages witho…
Interaction2Code: Benchmarking MLLM-based Interactive Webpage Code Generation from Interactive Prototyping
Jingyu Xiao, Yuxuan Wan, Yintong Huo +6
Multimodal Large Language Models (MLLMs) have demonstrated remarkable performance on the design-to-code task, i.e., generating UI code from UI mock-ups. However, existing benchmark…