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Graph foundation models (GFMs) have emerged as a promising paradigm for transferring knowledge across graph domains a...
Technological races create tension between speed and safety: actors may gain by moving faster than competitors, even ...
Computer-use agents (CUAs) increasingly act through desktop GUIs to complete long-horizon tasks. Current benchmarks p...
Generalist manipulation policies increasingly take the form of action-chunking flow policies built on large pretraine...
On-policy distillation (OPD) grounds token-level supervision in the student's own trajectory, yet suffers from prefix...
The alignment of Small Language Models (SLMs) in the 70--500M parameter range using reinforcement learning is often c...
We introduce Shieldstral, a 3B-parameter policy-adaptive multimodal safety classifier that matches or outperforms mod...
We present Wonder, a general-purpose video world model for real-time, camera-controllable world exploration. Given an...
Emerging Omni-modal Large Language Models (OmniLLMs) enable unified understanding of text, audio, and video, but thei...
In the age of foundation models, a model is only as good as its prompt. For this reason, prompt engineering has becom...
Long-term memory systems store what a user says in an external store and retrieve it when a related query arrives. Th...
We introduce PerceptionBench, a benchmark specifically designed to evaluate the atomic visual perception capabilities...