AstroLLaVA: towards the unification of astronomical data and natural language

Overview of the SDSS-IV MaNGA survey: mapping nearby galaxies at apache point observatory

K. Bundy, M. A. Bershady, D. R. Law, R. Yan, N. Drory, N. MacDonald, D. A. Wake, B. Cherinka, J. R. Sánchez-Gallego, A.-M. Weijmans, et al · 2014

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Transiting Exoplanet Survey Satellite

G. R. Ricker, J. N. Winn, R. Vanderspek, D. W. Latham, G. Á. Bakos, J. L. Bean, Z. K. Berta-Thompson, T. M. Brown, L. Buchhave, et al · 2014

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Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe

M. R. Blanton, M. A. Bershady, B. Abolfathi, F. D. Albareti, C. A. Prieto, A. Almeida, J. Alonso-García, F. Anders, S. F. Anderson, B. Andrews, et al · 2017

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Deep learning of multi-element abundances from high-resolution spectroscopic data

H. W. Leung and J. Bovy · 2019

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Energy and Policy Considerations for Deep Learning in NLP

E. Strubell, A. Ganesh, and A. Mccallum · 2019

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Learning Transferable Visual Models From Natural Language Supervision

A. Radford, J. W. Kim, C. Hallacy, A. Ramesh, G. Goh, S. Agarwal, G. Sastry, A. Askell, P. Mishkin, J. Clark, et al · 2021

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Study on environmental sustainability at the Instituto de Astrofísica de Canarias and proposed actions

A. Mampaso, I. García de la Rosa, P. Arias, M. Beasley, E. Martín, H. Rodríguez, E. Sokmen, and J. Villa · 2022

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EleutherAI: Going Beyond "Open Science" to "Science in the Open"

J. Phang, H. Bradley, L. Gao, L. Castricato, and S. Biderman · 2022

Cited alongside, same era.

Galaxy Zoo DECaLS: Detailed visual morphology measurements from volunteers and deep learning for 314 000 galaxies

M. Walmsley, C. Lintott, T. Géron, S. Kruk, C. Krawczyk, K. W. Willett, S. Bamford, L. S. Kelvin, L. Fortson, Y. Gal, W. Keel, K. L. Masters, V. Mehta, B. D. Simmons, R. Smethurst, L. Smith, E. M. Baeten, and C. Macmillan · 2022

Cited alongside, same era.

Physically Grounded Vision-Language Models for Robotic Manipulation

J. Gao, B. Sarkar, F. Xia, T. Xiao, J. Wu, B. Ichter, A. Majumdar, and D. Sadigh · 2023

Cited alongside, same era.

AstroLLaMA: Towards Specialized Foundation Models in Astronomy

T. D. Nguyen, Y.-S. Ting, I. Ciucă, C. O’Neill, Z.-C. Sun, M. Jabłońska, S. Kruk, E. Perkowski, J. Miller, J. Li, et al · 2023

Cited alongside, same era.

GPT-4 Technical Report

OpenAI · 2023

Cited alongside, same era.

herakoi: a sonification experiment for astronomical data

M. Ginolfi, L. Di Mascolo, and A. Zanella · 2024

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PAPERCLIP: Associating Astronomical Observations and Natural Language with Multi-Modal Models

S. Mishra-Sharma, Y. Song, and J. Thaler · 2024

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AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets

E. Perkowski, R. Pan, T. D. Nguyen, Y.-S. Ting, S. Kruk, T. Zhang, C. O’Neill, M. Jablonska, Z. Sun, M. J. Smith, et al · 2024

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At First Sight! Zero-shot Classification of Astronomical Images with Large Multimodal Models

D. Tanoglidis and B. Jain · 2024

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The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data

The Multimodal Universe Collaboration · 2024

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