Duc Anh Nguyen

State-of-the-art coding agents exhibit critical boundary violations, with nearly all misinterpreting dependencies and over half compromising environment integrity or user inputs.

MoC achieves superior representation learning in transformers by enabling efficient cross-block communication without the computational burden of traditional methods.