Search papers, labs, and topics across Lattice.
5
0
9
0
LLMs still miss over 60% of real-world bugs in critical software like V8 and SpiderMonkey, even when given access to PoCs and fixes, revealing a significant gap in their ability to automate complex security tasks.
Unlock olfactory prediction from raw sensor data: SCENT aligns mass spectra with molecular structure, enabling odor prediction without needing explicit chemical formulas.
Offloading avatar reconstruction can enable over 2.3 times more users in VR while maintaining privacy and minimizing quality loss.
LLMs can now autonomously validate their own bug reports with 1.3x higher accuracy and 9.8x lower false positives, thanks to a novel multi-agent framework that synthesizes, executes, and scrutinizes proof-of-concept tests.
MLLMs can be tricked into missing 90% of harmful content simply by encoding it in images that humans can easily read.
