7 papers
ReCAST: Reward Credit Assignment across Timesteps for Online Diffusion Reinforcement
Yihang Chen, Yuanhao Ban, Kuei-Chun Kao +1
Training diffusion models with multiple rewards requires distinguishing user preference from reward informativeness. User preference determines how much each reward should contribu…
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…
Understanding Reward Hacking in Text-to-Image Reinforcement Learning
Yunqi Hong, Kuei-Chun Kao, Hengguang Zhou +1
Reinforcement learning (RL) has become a standard approach for post-training large language models and, more recently, for improving image generation models, which uses reward func…
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…
QG-CoC: Question-Guided Chain-of-Captions for Large Multimodal Models
Kuei-Chun Kao, Hsu Tzu-Yin, Yunqi Hong +2
Recently, Multimodal Large Language Models (MLLMs) encounter two key issues in multi-image contexts: (1) a lack of fine-grained perception across disparate images, and (2) a dimini…
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;…