From the 1 of 2.3k papers with an AI index.
7.1k citations
- Jožef Stefan InstituteSI968 papers
- The University of SydneyAU675 papers
- The University of MelbourneAU667 papers
- The University of TokyoJP662 papers
- Chinese Academy of SciencesCN641 papers
- Institute of Nuclear Physics, Polish Academy of SciencesPL637 papers
- University of Science and Technology of ChinaCN637 papers
- Nagoya UniversityJP635 papers
- Centre National de la Recherche ScientifiqueFR623 papers
- Charles UniversityCZ608 papers
- High Energy Accelerator Research OrganizationJP604 papers
- Max Planck Institute for PhysicsDE583 papers
2,282 papers
Precision Neutron Skins of Pb and Ca from Parity-Violating Electron Scattering
PREX Collaboration, D. Adhikari, H. Albataineh +100
We have measured the parity-violating elastic electron scattering asymmetry in the PREX and CREX experiments on Pb and Ca respectively; these are both doubly-mag…
Assessing Reliability of BERT-Based Models on Question Answering Tasks
Pooja Yadav, Priyanka Harjule, Basant Agarwal +1
Reliability estimation of large language models is in many cases as crucial as their accuracy, as reliable models are more trustworthy, robust, and suitable for practical applicati…
Survival of the metallic state in a single-hole multiband -orbital molecular system
Keisuke Matsui, Ryan A. Klein, Naoya Yoshikane +14
Strong correlations and ferromagnetic Hund's coupling lead to diverse electronic phenomena in transition-metal oxides that sensitively depend on the -orbital electron filling. F…
The GALAH Survey: Neutron-Capture Elemental Abundances for 350,000 Gaia-RVS spectra and the Chemodynamics of Accreted Structures
Pradosh Barun Das, Daniel B. Zucker, Aldo Mura-Guzmán +15
We present a comprehensive data-driven spectroscopic analysis of 357,415 red giant stars using Gaia DR3 Radial Velocity Spectrometer (RVS) spectra (8460-8700 A; ),…
Challenges in Explaining Pretrained Clinical Text Classifiers
Kristian Miok, Matej Klemen, Blaz Škrlj +1
Explaining the predictions of neural models in clinical NLP remains a significant challenge, especially for complex tasks involving long, unstructured medical texts. While post-hoc…
Post-Moore Technologies for Plasma Simulation: A Community Roadmap
Luca Pennati, Erik M. Åsgrim, Jeremy J. Williams +21
Plasma simulations are among the most computationally demanding scientific workloads, combining high-dimensional kinetic evolution, particle-mesh coupling, field solves, and data-i…