Jing-Heng Li

ReLiveGym: Evaluating Long-Lived Agents over Weeks of Replayed Reality

As large language model (LLM) agents become widely adopted, they are increasingly deployed for tasks that require persistent monitoring or recurring actions (e.g., market analysis). These agents are expected to operate unattended for days or weeks, act at the right timing, and adapt to the dynamic environment over time...