Yilun Du

Energy-Based Models for Continual Learning

2020 · arXiv (Cornell University)

We motivate Energy-Based Models (EBMs) as a promising model class for continual learning problems. Instead of tackling continual learning via the use of external memory, growing models, or regularization, EBMs change the underlying training objective …

Learning Interactive Real-World Simulators

2023 · arXiv (Cornell University)

Generative models trained on internet data have revolutionized how text, image, and video content can be created. Perhaps the next milestone for generative models is to simulate realistic experience in response to actions taken by …

Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers

2025 · arXiv (Cornell University)

By utilizing more computational resources at test-time, large language models (LLMs) can improve without additional training. One common strategy uses verifiers to evaluate candidate outputs. In this work, we propose a novel scaling dimension for …