Search papers, labs, and topics across Lattice.
4
0
11
2
RLVR, the dominant training paradigm for audio language models, may be turning them into unfeeling "answering machines" that excel on benchmarks but fail the vibe check.
Ditch repeated Riccati equation solves: DeepONets learn a fast, generalizable LQR solution operator, slashing computation time while maintaining provable stability guarantees.
UniBlendNet achieves state-of-the-art ambient lighting normalization by adaptively correcting for spatially-varying illumination, leading to visually superior and more stable image restoration.
LLMs can now generate STEM animations that not only improve student learning outcomes but also boost engagement and reduce cognitive load compared to traditional methods.
