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This study investigates the application of Large Language Models (LLMs), specifically GPT-4, within Astronomy.
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Accomazzi, A., Kurtz, M. J., Henneken, E. A., Chyla, R., Luker, J., Grant, C. S., Thompson, D. M., Holachek, A., Dave, R., and Murray, S. S · 2015
Earlier work this paper cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K · 2018
Earlier work this paper cites.
Improving language understanding by generative pre-training
Radford, A. and Narasimhan, K · 2018
Earlier work this paper cites.
Visualizing attention in transformer-based language representation models
Vig, J · 2019
Earlier work this paper cites.
Coupling local to global star formation in spiral galaxies: the effect of differential rotation
Aouad, C. J., James, P. A., and Chilingarian, I. V · 2020
Earlier work this paper cites.
Language models are few-shot learners, 2020
Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., Hesse, C., Chen, M., Sigler, E., Litwin, M., Gray, S., Chess, B., Clark, J., Berner, C., McCandlish, S., Radford, A., Sutskever, I., and Amodei, D · 2020
Earlier work this paper cites.
Can gpt-3 pass a writer’s turing test?
Elkins, K. and Chun, J · 2020
Earlier work this paper cites.
Study of galaxies on large-scale filaments in simulations
Singh, A., Mahajan, S., and Bagla, J. S · 2020
Earlier work this paper cites.
From Data Processes to Data Products: Knowledge Infrastructures in Astronomy
Borgman, C. L. and Wofford, M. F · 2021
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Meta-learning via language model in-context tuning
Chen, Y., Zhong, R., Zha, S., Karypis, G., and He, H · 2021
Cited alongside, same era.
< < i > > gaia < < /i > > early data release 3
Fabricius, C., Luri, X., Arenou, F., Babusiaux, C., Helmi, A., Muraveva, T., Reylé , C., Spoto, F., Vallenari, A., Antoja, T., Balbinot, E., Barache, C., Bauchet, N., Bragaglia, A., Busonero, D., Cantat-Gaudin, T., Carrasco, J. M., Diakité, S., Fabrizio, M., Figueras, F., Garcia-Gutierrez, A., Garofalo, A., Jordi, C., Kervella, P., Khanna, S., Leclerc, N., Licata, E., Lambert, S., Marrese, P. M., Masip, A., Ramos, P., Robichon, N., Robin, A. C., Romero-Gómez, M., Rubele, S., and Weiler, M · 2021
Cited alongside, same era.
On the effectiveness of adapter-based tuning for pretrained language model adaptation
He, R., Liu, L., Ye, H., Tan, Q., Ding, B., Cheng, L., Low, J.-W., Bing, L., and Si, L · 2021
Cited alongside, same era.
LoRA: Low-Rank Adaptation of Large Language Models
Hu, E. J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W · 2021
Cited alongside, same era.
Training language models to follow instructions with human feedback
Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C. L., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., Schulman, J., Hilton, J., Kelton, F., Miller, L., Simens, M., Askell, A., Welinder, P., Christiano, P., Leike, J., and Lowe, R · 2022
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The local and global relations between Σ ⋆ \Sigma_{\star} , Σ SFR \Sigma_{\rm SFR} and Σ mol \Sigma_{\rm mol} that regulate star-formation
Sánchez, S. F., Gómez Medina, D. C., Barrera-Ballesteros, J. K., Galbany, L., Bolatto, A., and Wong, T · 2022
Later among the works it cites.
Self-consistency improves chain of thought reasoning in language models
Wang, X., Wei, J., Schuurmans, D., Le, Q., Chi, E., and Zhou, D · 2022
Later among the works it cites.
Chain of thought prompting elicits reasoning in large language models
Wei, J., Wang, X., Schuurmans, D., Bosma, M., Chi, E., Le, Q., and Zhou, D · 2022
Later among the works it cites.
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Compacter: Efficient low-rank hypercomplex adapter layers
Karimi Mahabadi, R., Henderson, J., and Ruder, S · 2021
Cited alongside, same era.
Galaxy evolution in all five CANDELS fields and IllustrisTNG: Morphological, structural, and the major merger evolution to z ∼ \sim 3
Whitney, A., Ferreira, L., Conselice, C. J., and Duncan, K · 2021
Cited alongside, same era.
An explanation of in-context learning as implicit bayesian inference
Xie, S. M., Raghunathan, A., Liang, P., and Ma, T · 2021
Cited alongside, same era.
A feasibility study of answer-agnostic question generation for education
Dugan, L., Miltsakaki, E., Upadhyay, S., Ginsberg, E., Gonzalez, H., Choi, D., Yuan, C., and Callison-Burch, C · 2022
Cited alongside, same era.
Learn to explain: Multimodal reasoning via thought chains for science question answering
Lu, P., Mishra, S., Xia, T., Qiu, L., Chang, K.-W., Zhu, S.-C., Tafjord, O., Clark, P., and Kalyan, A · 2022
Cited alongside, same era.
Automatic chain of thought prompting in large language models
Zhang, Z., Zhang, A., Li, M., and Smola, A · 2022
Later among the works it cites.
The eighteenth data release of the sloan digital sky surveys: Targeting and first spectra from sdss-v, 2023
Almeida, A., Anderson, S. F., Argudo-Fernández, M., Badenes, C., Barger, K., Barrera-Ballesteros, J. K., Bender, C. F., Benitez, E., Besser, F., Bizyaev, D., Blanton, M. R., Bochanski, J., Bovy, J., Brandt, W. N., Brownstein, J. R., Buchner, J., Bulbul, E., Burchett, J. N., Díaz, M. C., Carlberg, J. K., Casey, A. R., Chandra, V., Cherinka, B., Chiappini, C., Coker, A. A., Comparat, J., Conroy, C., Contardo, G., Cortes, A., Covey, K., Crane, J. D., Cunha, K., Dabbieri, C., au2, J. W. D. J., Davis, M. C., Lee, N. D., Delgado, J. E. M., Demasi, S., Mille, F. D., Donor, J., Dow, P., Dwelly, T., Eracleous, M., Eriksen, J., Fan, X., Farr, E., Frederick, S., Fries, L., Frinchaboy, P., Gaensicke, B. T., Ge, J., Ávila, C. G., Grabowski, K., Grier, C., Guiglion, G., Gupta, P., Hall, P., Hawkins, K., Hayes, C. R., Hermes, J. J., Hernández-García, L., Hogg, D. W., Holtzman, J. A., Ibarra-Medel, H. J., Ji, A., Jofre, P., Johnson, J. A., Jones, A. M., Kinemuchi, K., Kluge, M., Koekemoer, A., Kollmeier, J. A., Kounkel, M., Krishnarao, D., Krumpe, M., Lacerna, I., Lago, P. J. A., Laporte, C., Liu, A., Liu, C., Liu, X., Lopes, A. R., Macktoobian, M., Malanushenko, V., Maoz, D., Masseron, T., Masters, K. L., Matijevic, G., McBride, A., Medan, I., Merloni, A., Morrison, S., Myers, N., Mészáros, S., Negrete, C. A., Nidever, D. L., Nitschelm, C., Oravetz, A., Oravetz, D., Pan, K., Peng, Y., Pinsonneault, M. H., Pogge, R., Qiu, D., de Andrade Queiroz, A. B., Ramirez, S. V., Rix, H.-W., Rosso, D. F., Runnoe, J., Salvato, M., Sanchez, S. F., Santana, F. A., Saydjari, A., Sayres, C., Schlaufman, K. C., Schneider, D. P., Schwope, A., Serna, J., Shen, Y., Sobeck, J., Song, Y.-Y., Souto, D., Spoo, T., Stassun, K. G., Steinmetz, M., Straumit, I., Stringfellow, G., Sánchez-Gallego, J., Taghizadeh-Popp, M., Tayar, J., Thakar, A., Tissera, P. B., Tkachenko, A., Toledo, H. H., Trakhtenbrot, B., Trincado, J. G. F., Troup, N., Trump, J. R., Tuttle, S., Ulloa, N., Vazquez-Mata, J. A., Alfaro, P. V., Villanova, S., Wachter, S., Weijmans, A.-M., Wheeler, A., Wilson, J., Wojno, L., Wolf, J., Xue, X.-X., Ybarra, J. E., Zari, E., and Zasowski, G · 2023
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Chasing the impact of the Gaia-Sausage-Enceladus merger on the formation of the Milky Way thick disc
Ciucă, I., Kawata, D., Ting, Y.-S., Grand, R. J. J., Miglio, A., Hayden, M., Baba, J., Fragkoudi, F., Monty, S., Buder, S., and Freeman, K · 2023
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OpenAI · 2023
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