We introduce AuK, an open-source foundational model that unifies speech generation and editing through a common interfac…

Video foundation models increasingly rely on large-scale pretraining data, yet the end-to-end data pipelines behind them…

Reinforcement learning with verifiable rewards (RLVR) substantially improves single-sample accuracy (pass@1) but causes …

Command-line coding agents (e.g., Claude Code, Gemini CLI) can already read and write files and sustain long sessions, y…

Model misalignment, prompt injection, or operator misuse could lead AI agents operating frontier-lab accounts to exfiltr…

Diffusion-based models enable monocular geometry estimation, yet their pixel-space precision is limited by a shared, und…

Ensuring factuality remains a critical challenge for deploying LLMs in high-stakes settings. Existing hallucination dete…

Understanding agent behavior requires methods that scale to thousands of trajectories and surface new patterns in long, …