From the 1 of 8 linked papers with an AI index.
8 papers
Are LLMs Ready for Scientific Discovery? A Capability-Oriented Benchmark for AI Scientists
Chuhan Shi, Xiaoquan Ren, Sicheng Song +3
The paper presents SDABench, a capability-oriented benchmark that evaluates large language models on scientific data analysis tasks across biology, chemistry, environment, geograph…
SupplyNet: Supporting Visual Exploratory Learning in Supply Chain via Contextual Multi-Agent Simulation
Yanjia Li, Kelcy Kexin Han, Tianrui Hu +3
Simulation has long supported supply chain management instruction by letting learners observe network behavior and test decision strategies. Recent progress in LLM-driven agents op…
AdaPT: Adaptive Lesson Plan Transformer for Cross-Regional and Differentiated Instruction
Yanjie Zhang, Jiajun Zhu, Minyu Wu +2
Due to educational inequality, high-quality lesson plans often mismatch the needs of disparate educational contexts. Teachers typically modify existing lesson plans to fit new cont…
VizQStudio: Iterative Visualization Literacy MCQs Design with Simulated Students
Zixin Chen, Yuhang Zeng, Sicheng Song +4
Multiple-choice questions (MCQs) are a widely used educational tool, particularly in domains such as visualization literacy that require broad conceptual coverage and support diver…
VizDefender: Unmasking Visualization Tampering through Proactive Localization and Intent Inference
Sicheng Song, Yanjie Zhang, Zixin Chen +3
The integrity of data visualizations is increasingly threatened by image editing techniques that enable subtle yet deceptive tampering. Through a formative study, we define this ch…
Unmasking Deceptive Visuals: Benchmarking Multimodal Large Language Models on Misleading Chart Question Answering
Zixin Chen, Sicheng Song, Kashun Shum +4
Misleading visualizations, which manipulate chart representations to support specific claims, can distort perception and lead to incorrect conclusions. Despite decades of research,…