Cover Image

A systematic evaluation of vision-language models for observational astronomical reasoning tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ren, Wenke, Guo, Hengxiao, Zuo, Wenwen, Zhang, Xiaoman
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoising
by: Guo, Yuduo, et al.
Published: (2026)

A geometric approach to estimate background in astronomical images
by: Pandey, Pushpak, et al.
Published: (2024)

Galaxy spectroscopy without spectra: Galaxy properties from photometric images with conditional diffusion models
by: Doorenbos, Lars, et al.
Published: (2024)

A robust and simple method for filling in masked data in astronomical images
by: van Dokkum, Pieter, et al.
Published: (2023)

FRELLED Reloaded: Multiple techniques for astronomical data visualisation in Blender
by: Taylor, Rhys
Published: (2025)

Exploring symbolic regression and genetic algorithms for astronomical object classification
by: Llorella, Fabio R., et al.
Published: (2025)

A Generative Model for Disentangling Galaxy Photometric Parameters
by: Leung, Keen, et al.
Published: (2025)

CLiMB: A Domain-Informed Novelty Detection Clustering Framework for Galactic Archaeology and Scientific Discovery
by: Monti, Lorenzo, et al.
Published: (2026)

A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model
by: Fu, Mingxiang, et al.
Published: (2024)

Mapping Galaxy Images Across Ultraviolet, Visible and Infrared Bands Using Generative Deep Learning
by: Zaazou, Youssef, et al.
Published: (2025)

At First Sight: Zero-Shot Classification of Astronomical Images with Large Multimodal Models
by: Tanoglidis, Dimitrios, et al.
Published: (2024)

AstroInspect: a web-based system to organize, assess, and visually inspect astronomical objects
by: Cardoso, Natanael M., et al.
Published: (2026)

Rotation and flipping invariant self-organizing maps with astronomical images: A cookbook and application to the VLA Sky Survey QuickLook images
by: Vantyghem, A. N., et al.
Published: (2024)

Deriving volume density profiles of filaments from observed surface densities
by: Men'shchikov, Alexander, et al.
Published: (2026)

Learning the Stellar Structure Equations via Self-supervised Physics-Informed Neural Networks
by: Ballester, Manuel, et al.
Published: (2026)

Estimating Dark Matter Halo Masses in Simulated Galaxy Clusters with Graph Neural Networks
by: Garuda, Nikhil, et al.
Published: (2024)

Exoplanet Transit Candidate Identification in TESS Full-Frame Images via a Transformer-Based Algorithm
by: Salinas, Helem, et al.
Published: (2025)

Skykatana: a scalable framework to construct sky masks for the Vera Rubin Observatory and large astronomical surveys
by: Lopez, Claudio, et al.
Published: (2025)

A differentiable and optimizable 3D model for interpretation of observed spectral data cubes
by: Grassi, T., et al.
Published: (2026)

SE3D: Testing the recovery of stellar population, dust and structural properties on mock-observed toy model and simulated galaxies
by: Zhang, Junkai, et al.
Published: (2025)

Galaxy image simplification using Generative AI
by: Erukude, Sai Teja, et al.
Published: (2025)

Self-supervised Synthetic Pretraining for Inference of Stellar Mass Embedded in Dense Gas
by: Hirashima, Keiya, et al.
Published: (2025)

Explainable machine learning workflows for radio astronomical data processing
by: Yatawatta, S., et al.
Published: (2026)

SE3D: Building a radiative transfer emulator to fit panchromatic resolved galaxy observations with 3D models of dust and stars
by: Ramnichal, Steven, et al.
Published: (2025)

AstroCompress: A benchmark dataset for multi-purpose compression of astronomical data
by: Truong, Tuan, et al.
Published: (2025)

Inferring redshift and galaxy properties via a multi-task neural net with probabilistic outputs: An application to simulated MOONS spectra
by: Ginolfi, Michele, et al.
Published: (2024)

Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems
by: Euclid Collaboration, et al.
Published: (2026)

FALCO: a Foundation model of Astronomical Light Curves for time dOmain astronomy
by: Zuo, Xiaoxiong, et al.
Published: (2025)

287,872 Supermassive Black Holes Masses: Deep Learning Approaching Reverberation Mapping Accuracy
by: Lu, Yuhao, et al.
Published: (2025)

AI in the Cosmos
by: Sahakyan, N.
Published: (2024)

Photometric Redshift Estimation for CSST Survey with LSTM Neural Networks
by: Luo, Zhijian, et al.
Published: (2024)

A forward-modelling approach to overcome PSF smearing and fit flexible models to the chemical structure of galaxies
by: Metha, Benjamin, et al.
Published: (2024)

StarWhisper Telescope: An AI framework for automating end-to-end astronomical observations
by: Wang, Cunshi, et al.
Published: (2024)

iDaVIE v1.0: A virtual reality tool for interactive analysis of astronomical data cubes
by: Sivitilli, Alexander, et al.
Published: (2026)

Exploiting the diversity of modeling methods to probe systematic biases in strong lensing analyses
by: Galan, A., et al.
Published: (2024)

A fast machine learning tool to predict the composition of astronomical ices from infrared absorption spectra
by: Megías, Andrés, et al.
Published: (2025)

Disentangling stellar atmospheric parameters in astronomical spectra using Generative Adversarial Neural Networks
by: Manteiga, Minia, et al.
Published: (2025)

MIGHTEE-HI: deep spectral line observations of the COSMOS field
by: Heywood, I., et al.
Published: (2024)

Extinction Distributions in Nearby Star-resolved Galaxies. I. M31
by: Wang, Yuxi, et al.
Published: (2025)

The PRIMA promise of deciphering interstellar dust evolution with observations of the nearby Universe
by: Galliano, Frédéric, et al.
Published: (2025)