Tootfinder

Evaluating NL2SQL via SQL2NL
Mohammadtaher Safarzadeh, Afshin Oroojlooyjadid, Dan Roth
https://arxiv.org/abs/2509.04657 https://arxiv.org/pdf/2509.04657

Evaluating NL2SQL via SQL2NL
Robust evaluation in the presence of linguistic variation is key to understanding the generalization capabilities of Natural Language to SQL (NL2SQL) models, yet existing benchmarks rarely address this factor in a systematic or controlled manner. We propose a novel schema-aligned paraphrasing framework that leverages SQL-to-NL (SQL2NL) to automatically generate semantically equivalent, lexically diverse queries while maintaining alignment with the original schema and intent. This enables the fi…

Holographic CFT phase transitions and criticality for charged Gauss-Bonnet AdS black holes in the ensemble at fixed $(C, \mathcal{V}, \tilde{Q}, \tilde{\mathcal{A}})$
Limin Zeng
https://arxiv.org/abs/2510.05423

Holographic CFT phase transitions and criticality for charged Gauss-Bonnet AdS black holes in the ensemble at fixed $(C, \mathcal{V}, \tilde{Q}, \tilde{\mathcal{A}})$
We study the holographic dual of the extended thermodynamics of spherically symmetric, charged Gauss-Bonnet AdS black holes in the context of the AdS/CFT correspondence. The gravitational thermodynamics of Gauss-Bonnet AdS black holes can be extended by allowing for variations of the cosmological constant and Newton's constant. In the dual CFT this corresponds to including the central charge C and its chemical potential $μ$ as a new pair of conjugate thermodynamic variables. In addition, compa…

A Hybrid Quantum-AI Framework for Protein Structure Prediction on NISQ Devices
Yuqi Zhang, Yuxin Yang, Feixiong Chen, Cheng-Chang Lu, Nima Saeidi, Samuel L. Volchenboum, Junhan Zhao, Siwei Chen, Weiwen Jiang, Qiang Guan
https://arxiv.org/abs/2510.06413

A Hybrid Quantum-AI Framework for Protein Structure Prediction on NISQ Devices
Variational quantum algorithms provide a direct, physics-based approach to protein structure prediction, but their accuracy is limited by the coarse resolution of the energy landscapes generated on current noisy devices. We propose a hybrid framework that combines quantum computation with deep learning, formulating structure prediction as a problem of energy fusion. Candidate conformations are obtained through the Variational Quantum Eigensolver (VQE) executed on IBM's 127-qubit superconducting…

Variation Monte Carlo Study on the bilayer $t-J_{\parallel}-J_{\perp}$ model for La$_3$Ni$_2$O$_7$
Zeyu Chen, Yu-Bo Liu, Fan Yang
https://arxiv.org/abs/2510.04224 https://

Variation Monte Carlo Study on the bilayer $t-J_{\parallel}-J_{\perp}$ model for La$_3$Ni$_2$O$_7$
The discovery of high-temperature superconductivity (HTSC) in La$_3$Ni$_2$O$_7$ has aroused significant interest in exploring the pairing mechanism. Previous studies have proposed an effective d$_{x^2-y^2}$-orbital bilayer $t-J_{\parallel}-J_{\perp}$ model, in which the electrons of the d$_{x^2-y^2}$ orbital are charge carriers, which are subject to the intralayer antiferromagnetic (AFM) superexchange $J_{\parallel}$ and the large interlayer AFM superexchange $J_{\perp}\approx 2J_{\parallel}$, …

Mapping surface height dynamics to subsurface flow physics in free-surface turbulent flow using a shallow recurrent decoder
Kristoffer S. Moen, J{\o}rgen R. Aarnes, Simen {\AA}. Ellingsen, J. Nathan Kutz
https://arxiv.org/abs/2510.06202

Mapping surface height dynamics to subsurface flow physics in free-surface turbulent flow using a shallow recurrent decoder
Near-surface turbulent flows beneath a free surface are reconstructed from sparse measurements of the surface height variation, by a novel neural network algorithm known as the SHallow REcurrent Decoder (SHRED). The reconstruction of turbulent flow fields from limited, partial, or indirect measurements remains a grand challenge in science and engineering. The central goal in such applications is to leverage easy-to-measure proxy variables in order to estimate quantities which have not been, and…

Acer unveils the $3,999 Veriton GN100 AI Mini Workstation with a Nvidia GB10 Grace Blackwell Superchip to run AI models locally, its first Mini AI workstation (VideoCardz.com)
https://videocardz.com/newz/acer-unveils-verit…

Hierarchical Equations of Motion Solved with the Multiconfigurational Ehrenfest Ansatz
Zhecun Shi, Huiqiang Zhou, Lei Huang, Rixin Xie, Linjun Wang
https://arxiv.org/abs/2509.04872

Hierarchical Equations of Motion Solved with the Multiconfigurational Ehrenfest Ansatz
Being a numerically exact method for the simulation of dynamics in open quantum systems, the hierarchical equations of motion (HEOM) still suffers from the curse of dimensionality. In this study, we propose a novel MCE-HEOM method, which introduces the multiconfigurational Ehrenfest (MCE) ansatz to the second quantization formalism of HEOM. Here, the MCE equations of motion are derived from the time-dependent variational principle in a composed Hilbert-Liouville space, and each MCE coherent-sta…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Oasis:
🎵 Supersonic
#Oasis
https://djeclectico.bandcamp.com/track/oasis-supersonic-edit-dj-ecl-ctico
https://open.spotify.com/track/2djolYhefiXcUcmkebKweB

Thermal effects in fluid structure interactions
Sourav Mitra, Sebastian Schwarzacher
https://arxiv.org/abs/2510.04801 https://arxiv.org/pdf/2510.04801

Thermal effects in fluid structure interactions
In this article we consider two different heat conducting fluids each modelled by the incompressible Navier-Stokes-Fourier system separated by a non-linear elastic Koiter shell. The motion of the shell changes the domain of definition of the two separated fluids. For this setting we show the existence of a weak solution. The heat capacity of the shell is given energetically. It allows to consider transmission laws ranging from insulation to superconductivity.We follow a variational approach for…

🇺🇦 #NowPlaying on KEXP's #VarietyMix
Superchunk:
🎵 Break the Glass
#Superchunk
https://superchunk.bandcamp.com/album/break-the-glass-b-w-mad-world
https://open.spotify.com/track/43HCOk3H6xLIPDfGQjAcVj