Search papers, labs, and topics across Lattice.
Institute of Artificial Intelligence, Hefei Comprehensive National Science Center
2
0
6
QuantumQA reveals that integrating verifiable, rule-based feedback can dramatically enhance LLM performance in scientific reasoning, achieving results on par with larger proprietary models.
Even with noisy labels, NA-MVP achieves robust few-shot learning by adaptively separating clean from noisy signals using bi-directional multi-view prompt alignment.
