Search papers, labs, and topics across Lattice.
2
0
2
Achieving hallucination-free language generation with significantly reduced memory requirements reveals a sharp transition in capabilities that could redefine efficiency in language models.
Replicable PAC learning is harder than we thought: achieving it provably requires a sample complexity scaling as $(\log|H|)^{3/2}$, a significant hurdle for large hypothesis classes.
