6 papers
A Large-Scale Dataset for Molecular Structure-Language Description via a Rule-Regularized Method
Feiyang Cai, Guijuan He, Yi Hu +7
Molecular function is largely determined by structure. Accurately aligning molecular structure with natural language is therefore essential for enabling large language models (LLMs…
Context Pruning for Coding Agents via Multi-Rubric Latent Reasoning
Jingjing Wang, Xiwen Chen, Wenhui Zhu +6
LLM-powered coding agents spend the majority of their token budget reading repository files, yet much of the retrieved code is irrelevant to the task at hand. Existing learned prun…
Climate Prompting: Generating the Madden-Julian Oscillation using Video Diffusion and Low-Dimensional Conditioning
Sulian Thual, Feiyang Cai, Jingjing Wang +1
Generative Deep Learning is a powerful tool for modeling of the Madden-Julian oscillation (MJO) in the tropics, yet its relationship to traditional theoretical frameworks remains p…
MolLangBench: A Comprehensive Benchmark for Language-Prompted Molecular Structure Recognition, Editing, and Generation
Feiyang Cai, Jiahui Bai, Tao Tang +7
Precise recognition, editing, and generation of molecules are essential prerequisites for both chemists and AI systems tackling various chemical tasks. We present MolLangBench, a c…
ChemFM as a Scaling Law Guided Foundation Model Pre-trained on Informative Chemicals
Feiyang Cai, Katelin Zacour, Tianyu Zhu +6
Traditional AI methods often rely on task-specific model designs and training, which constrain both the scalability of model size and generalization across different tasks. Here, w…
Scalable Surrogate Verification of Image-based Neural Network Control Systems using Composition and Unrolling
Feiyang Cai, Chuchu Fan, Stanley Bak
Verifying safety of neural network control systems that use images as input is a difficult problem because, from a given system state, there is no known way to mathematically model…