4 papers · 1 filter
AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment
Kuei-Chun Kao, Daixuan Huo, Yuanhao Ban +1
Aligning Text-to-Image (T2I) generation models with human preferences increasingly relies on image reward models that score or rank generated images according to prompt alignment a…
Adaptive Diagnostic Reasoning Framework for Pathology with Multimodal Large Language Models
Yunqi Hong, Johnson Kao, Liam Edwards +5
AI tools in pathology have improved screening throughput, standardized quantification, and revealed prognostic patterns that inform treatment. However, adoption remains limited bec…
Enhancing CLIP Conceptual Embedding through Knowledge Distillation
Kuei-Chun Kao
Recently, CLIP has become an important model for aligning images and text in multi-modal contexts. However, researchers have identified limitations in the ability of CLIP's text an…
Solving for X and Beyond: Can Large Language Models Solve Complex Math Problems with More-Than-Two Unknowns?
Kuei-Chun Kao, Ruochen Wang, Cho-Jui Hsieh
Large Language Models (LLMs) have demonstrated remarkable performance in solving math problems, a hallmark of human intelligence. Despite high success rates on current benchmarks;…