4 papers
A Survey on Future Frame Synthesis: Bridging Deterministic and Generative Approaches
Ruibo Ming, Zhewei Huang, Jingwei Wu +5
Future Frame Synthesis (FFS), the task of generating subsequent video frames from context, represents a core challenge in machine intelligence and a cornerstone for developing pred…
DialogueReason: Rule-Based RL Sparks Dialogue Reasoning in LLMs
Yubo Shu, Zhewei Huang, Xin Wu +3
We propose DialogueReason, a reasoning paradigm that uncovers the lost roles in monologue-style reasoning models, aiming to boost diversity and coherency of the reasoning process.…
ARCON: Advancing Auto-Regressive Continuation for Driving Videos
Ruibo Ming, Jingwei Wu, Zhewei Huang +4
Recent advancements in auto-regressive large language models (LLMs) have led to their application in video generation. This paper explores the use of Large Vision Models (LVMs) for…
Recent Advances in Attack and Defense Approaches of Large Language Models
Jing Cui, Yishi Xu, Zhewei Huang +3
Large Language Models (LLMs) have revolutionized artificial intelligence and machine learning through their advanced text processing and generating capabilities. However, their wid…