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Text-to-music systems produce increasingly convincing audio, yet evaluation reveals little about whether the result m...
Diffusion large language models (DLLMs) generate text through iterative block denoising, and multi-branch speculative...
Tool-calling agents have become central to enterprise AI, yet training and evaluating them at scale remains severely ...
Large language models (LLMs) and vision-language models (VLMs) are usually frozen after deployment, so they do not le...
Large language models (LLMs) are increasingly relied upon to support ambient documentation and clinical reasoning. He...
Optimizing deployed AI systems increasingly amounts to editing prompts, skills, harnesses, and code rather than model...
GPU-parallel simulation provides abundant robot interaction, but existing benchmarks rarely combine this scale with h...
Learned simulators for deformable linear objects (DLOs) such as cables have to predict the motion of cables they were...
Agent skills are SKILL.md instructions and scripts that AI coding agents such as Claude Code and Codex run with the p...
Long-horizon coding agents need timely corrections, yet feedback can be ineffective or even harmful when it misjudges...
This work examines the transfer of a co-evolved communication mechanism between two robotic agents from a discrete tw...
This work evaluates the direct transfer of a co-evolved communication protocol from a 2D simulation to a 3D physical ...