activity
20242026
most cited7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement

1 citations · 2 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

PhyWorld: Physics-Faithful World Model for Video Generation

Pu Zhao, Juyi Lin, Timothy Rupprecht +10

World simulators can provide safe and scalable environments for training Physical AI systems before real-world deployment. Large video generation models are emerging as a promising…

cs.CV2026

PhyGround: Benchmarking Physical Reasoning in Generative World Models

Juyi Lin, Arash Akbari, Yumei He +13

Generative world models are increasingly used for video generation, where learned simulators are expected to capture the physical rules that govern real-world dynamics. However, ev…

cs.RO2026

Human Cognition in Machines: A Unified Perspective of World Models

Timothy Rupprecht, Pu Zhao, Amir Taherin +20

This report of world models distinguishes prior works by the cognitive functions they innovate. Many works claim an almost human-like cognitive capability in their world models. To…

cs.CL2025

Open-Source Multimodal Moxin Models with Moxin-VLM and Moxin-VLA

Pu Zhao, Arash Akbari, Xuan Shen +16

Recently, Large Language Models (LLMs) have undergone a significant transformation, marked by a rapid rise in both their popularity and capabilities. Leading this evolution are pro…

cs.CL2025

RAGs to Riches: RAG-like Few-shot Learning for Large Language Model Role-playing

Timothy Rupprecht, Enfu Nan, Arash Akbari +8

Role-playing Large language models (LLMs) are increasingly deployed in high-stakes domains such as healthcare, education, and governance, where failures can directly impact user tr…

cs.CL2024★ 1 cited

7B Fully Open Source Moxin-LLM/VLM -- From Pretraining to GRPO-based Reinforcement Learning Enhancement

Pu Zhao, Xuan Shen, Zhenglun Kong +16

Recently, Large Language Models (LLMs) have undergone a significant transformation, marked by a rapid rise in both their popularity and capabilities. Leading this evolution are pro…

cs.CY2024

Learning to Adopt Generative AI

Lijia Ma, Xingchen Xu, Yumei He +1

Recent advancements in generative AI, such as ChatGPT, have dramatically transformed how people access information. Despite its powerful capabilities, the benefits it provides may…

cs.AI2024★ 1 cited

Digital Avatars: Framework Development and Their Evaluation

Timothy Rupprecht, Sung-En Chang, Yushu Wu +9

We present a novel prompting strategy for artificial intelligence driven digital avatars. To better quantify how our prompting strategy affects anthropomorphic features like humor,…