Yike Guo

Embedding reference tokens at semantic positions allows for unprecedented precision in multi-reference video editing, setting a new benchmark for instruction quality.

Language corrections in PhysClaw-0 not only enhance robot autonomy but also boost success rates by over 35% while slashing human oversight time.

Harnesses can evolve in real-time during evaluation, leading to significant performance gains without retraining the underlying model.

LUNA achieves realistic 3D human animation from 2D inputs without the limitations of traditional skinning methods, enabling unprecedented flexibility and expressivity.

UniSAE enables seamless, granular editing of speech attributes, allowing for precise control over speaker, emotion, and content in a unified framework.

Regularizing in the activation space with Sparse Autoencoders leads to superior continual learning performance in large language models, outperforming traditional weight-space methods.

Achieving high-fidelity audio generation with just four sampling steps, AudioX-Turbo dramatically cuts inference costs while enhancing performance across multimodal tasks.

LLMs can maintain long-context performance even with aggressive KV-cache eviction by learning to predict token importance and compressing evicted tokens into a latent memory.

Forget prompt engineering: MOSS lets autonomous agents rewrite their own source code to fix bugs and improve performance in production.

Forget solitary AI assistants; ClawNet envisions a future where your agent collaborates with *other people's* agents, securely and autonomously.