7 papers
Emergent Slow Thinking in LLMs as Inverse Tree Freezing
Sihan Hu, Xiansheng Cai, Yuan Huang +5
Reinforcement learning with verifiable rewards (RLVR) enables large language models to acquire slow, multi-step reasoning from sparse final-answer signals. We provide a statistical…
First-Principles Effective Mass in the Three-Dimensional Uniform Electron Gas
Pengcheng Hou, Daniel Cerkoney, Zhiyi Li +6
The quasiparticle effective mass of the three-dimensional uniform electron gas (UEG) is a fundamental Fermi-liquid parameter whose value and density dependence have remained…
Kohn-Sham Hamiltonian from Effective Field Theory: Quasiparticle Band Narrowing from Frozen Core Dynamics
Xiansheng Cai, Han Wang, Kun Chen
Kohn-Sham (KS) eigenvalues are routinely compared with angle-resolved photoemission (ARPES) and used as input for many-body methods, yet density functional theory (DFT) assigns the…
Inverse Knowledge Search over Verifiable Reasoning: Synthesizing a Scientific Encyclopedia from a Long Chains-of-Thought Knowledge Base
Yu Li, Yuan Huang, Tao Wang +19
Most scientific materials compress reasoning, presenting conclusions while omitting the derivational chains that justify them. This compression hinders verification by lacking expl…
Superconductivity in Electron Liquids: Precision Many-Body Treatment of Coulomb Interaction
Xiansheng Cai, Tao Wang, Shuai Zhang +5
More than a century after discovery, the theory of conventional superconductivity remains incomplete. While the importance of electron-phonon coupling is understood, a controlled f…
Learning-at-Criticality in Large Language Models for Quantum Field Theory and Beyond
Xiansheng Cai, Sihan Hu, Tao Wang +4
Fundamental physics often confronts complex symbolic problems with few guiding exemplars or established principles. While artificial intelligence (AI) offers promise, its typical n…