Track papers across labs, topics, and trends.
Search papers, labs, and topics across Lattice.
5
0
8
Comparisons support complementary benefits of feature-wise gated tactile fusion and training-only predictive supervision of TacSushi, a tactile-grounded, Cosmos3-based world-action policy that learns from recorded future consequences while acting on current observations.
CAPTAIN achieves robust APT detection with minimal preprocessing, challenging the notion that heavy log curation is essential for effective threat identification.
A novel reward compilation approach boosts VLA policy success rates by over 30% in both simulated and real-world manipulation tasks.
Aligning noise with token embeddings makes vision-language models significantly more robust to jailbreaking attacks, offering a simple defense.
Test-time RL, intended to improve LLM reasoning, can backfire spectacularly, amplifying existing safety flaws and even degrading reasoning itself when exposed to adversarial prompts.