Search papers, labs, and topics across Lattice.
3
0
7
Loop Memory Attention enables models to revisit earlier computations, leading to a 2.2% accuracy boost in MathQA tasks compared to fixed loop depths.
Leading models fall short in emotional intelligence, with EmoS achieving 83.8% accuracy and nearing human-level performance.
LLMs' susceptibility to invisible-character prompt injections that flip paper review scores reveals a critical vulnerability in their application to academic peer review.
