🏢 University of Illinois Urbana-Champaign

HUMANUP: A novel two-stage reinforcement learning framework enables real-world humanoid robots to autonomously recover from falls on various terrains.

PoPilot, a novel proof-oriented programming LLM, outperforms GPT-40 by 64% under data scarcity by using synthetic data augmentation.

CRANE: A novel constrained decoding algorithm boosts LLM reasoning accuracy by strategically alternating between unconstrained reasoning and constrained generation.

Mobile-Agent-E: A self-evolving mobile assistant conquering complex tasks with hierarchical agents and a novel self-evolution module, significantly outperforming prior approaches.

MMAudio achieves state-of-the-art video-to-audio synthesis by jointly training on audio-visual and text-audio data, enabling high-quality, semantically and temporally aligned audio generation.