13 citations · 24 across the 10 of their papers we have counts for
11 papers
OpenProblemBench: Benchmarking AI on Open Problems in the Foundational Theoretical Sciences
Zhiyi Li, Sihan Hu, Tianning Xiao +4
The next frontier for artificial general intelligence is tackling unresolved scientific problems, calling for benchmarks that assess progress beyond established knowledge. We intro…
Do Quantum AIs Dream in Paths? Path-Integral Slow Thinking through Grover Interference
Xiansheng Cai, Xiu-Hao Deng, Kun Chen
Reinforcement learning with verifiable rewards enables large language models to think slowly, but the same training can induce policy collapse: probability concentrates onto a few…
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…
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…
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…
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…
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…
An AI-powered Technology Stack for Solving Many-Electron Field Theory
Pengcheng Hou, Tao Wang, Daniel Cerkoney +5
Quantum field theory (QFT) for interacting many-electron systems is fundamental to condensed matter physics, yet achieving accurate solutions confronts computational challenges in…
Origin of the Coulomb Pseudopotential
Tao Wang, Xiansheng Cai, Kun Chen +2
We address the outstanding problem of electron pairing in the presence of strong Coulomb repulsion at small to moderate values of the Coulomb parameter, , and demon…
Quantum-to-classical correspondence in two-dimensional Heisenberg models
Tao Wang, Xiansheng Cai, Kun Chen +2
The quantum-to-classical correspondence (QCC) in spin models is a puzzling phenomenon where the static susceptibility of a quantum system agrees with its classical-system counterpa…