Search papers, labs, and topics across Lattice.
Affiliation:
4
0
8
5
AudioLens-R1 redefines audio clustering by allowing models to adaptively organize speech based on user-specified perspectives, achieving unprecedented accuracy improvements.
Trident exposes a staggering 522% drop in defensive performance of DRL systems against adaptive threats, highlighting their critical vulnerabilities.
ExaGEMM achieves a staggering 13.29x latency reduction for low-bit GEMM on CPUs, revolutionizing how we approach efficient ML inference.
PolyQ achieves up to 32.1% better perplexity at a 3-bit target while reducing activation reorder traffic by nearly 71%, proving that fractional-bit quantization can be both practical and efficient for CPU inference.
