3 citations · 7 across the 5 of their papers we have counts for
9 papers
What LLMs Think When You Don't Tell Them What to Think About?
Yongchan Kwon, James Zou
Characterizing the behavior of large language models (LLMs) across diverse settings is critical for reliable monitoring and AI safety. However, most existing analyses rely on topic…
A Roadmap for Predictive Human Immunology
Aly A. Khan, Jason Perera, James Zou +13
For over a century, immunology has masterfully discovered and dissected the components of our immune system, yet its collective behavior remains fundamentally unpredictable. In thi…
Paper2Agent: Reimagining Research Papers As Interactive and Reliable AI Agents
Jiacheng Miao, Joe R. Davis, Yaohui Zhang +2
We introduce Paper2Agent, an automated framework that converts research papers into AI agents. Paper2Agent transforms research output from passive artifacts into active systems tha…
Inefficiencies of Meta Agents for Agent Design
Batu El, Mert Yuksekgonul, James Zou
Recent works began to automate the design of agentic systems using meta-agents that propose and iteratively refine new agent architectures. In this paper, we examine three key chal…
Moloch's Bargain: Emergent Misalignment When LLMs Compete for Audiences
Batu El, James Zou
Large language models (LLMs) are increasingly shaping how information is created and disseminated, from companies using them to craft persuasive advertisements, to election campaig…
4KAgent: Agentic Any Image to 4K Super-Resolution
Yushen Zuo, Qi Zheng, Mingyang Wu +10
We present 4KAgent, a unified agentic super-resolution generalist system designed to universally upscale any image to 4K resolution (and even higher, if applied iteratively). Our s…