6 papers
LOOM: Personalized Learning Informed by Daily LLM Conversations Toward Long-Term Mastery via a Dynamic Learner Memory Graph
Justin Cui, Kevin Pu, Tovi Grossman
Foundation models are increasingly used to personalize learning, yet many systems still assume fixed curricula or coarse progress signals, limiting alignment with learners' day-to-…
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…
Smart-GRPO: Smartly Sampling Noise for Efficient RL of Flow-Matching Models
Benjamin Yu, Jackie Liu, Justin Cui
Recent advancements in flow-matching have enabled high-quality text-to-image generation. However, the deterministic nature of flow-matching models makes them poorly suited for rein…
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…