Search papers, labs, and topics across Lattice.
3
0
3
8
Tiny transformers can achieve impressive reasoning capabilities through protoreasoning, challenging assumptions about the necessity of larger models for effective step-by-step reasoning.
Verbose chain-of-thought prompting boosts accuracy only when the additional tokens carry substantial reasoning content, not just length.
LLMs struggle to solve topological grid puzzles not because they can't reason, but because they can't reliably extract and maintain spatial constraints.
