5 papers
Reward-Forcing: Autoregressive Video Generation with Reward Feedback
Jingran Zhang, Ning Li, Yuanhao Ban +2
While most prior work in video generation relies on bidirectional architectures, recent efforts have sought to adapt these models into autoregressive variants to support near real-…
Can Agent Conquer Web? Exploring the Frontiers of ChatGPT Atlas Agent in Web Games
Jingran Zhang, Ning Li, Justin Cui
OpenAI's ChatGPT Atlas introduces new capabilities for web interaction, enabling the model to analyze webpages, process user intents, and execute cursor and keyboard inputs directl…
ArXivBench: When You Should Avoid Using ChatGPT for Academic Writing
Ning Li, Jingran Zhang, Justin Cui
Large language models (LLMs) demonstrate strong capabilities in reasoning and question answering, yet their tendency to generate factually incorrect content remains a critical chal…
Latent Video Dataset Distillation
Ning Li, Antai Andy Liu, Jingran Zhang +1
Dataset distillation has demonstrated remarkable effectiveness in high-compression scenarios for image datasets. While video datasets inherently contain greater redundancy, existin…
Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability
Ning Li, Jingran Zhang, Justin Cui
OpenAI's multimodal GPT-4o has demonstrated remarkable capabilities in image generation and editing, yet its ability to achieve world knowledge-informed semantic synthesis--seamles…