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PRefLexOR (Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning) combines preference optimization with concepts from Reinforcement Learning to enable models to self-teach through iterative reasoning improvements.
The Novels of Hermann Hesse: A Study in Theme and Structure (Princeton University Press, Princeton, NJ, 1965)
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The Glass Bead Game (Vintage Classics, 2000)
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Materiomics: Biological protein materials, from nano to macro , vol. 3 (2010)
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Introducing materiomics (2011)
Groen, N., Cranford, S., de Boer, J., Buehler, M. & Van Blitterswijk, C · 2011
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Biomateriomics (Springer Netherlands, 2012)
Cranford, S. W. & Buehler, M. J · 2012
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Category theory based solution for the building block replacement problem in materials design
Giesa, T., Spivak, D. & Buehler, M · 2012
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Attention is All you Need (2017)
Vaswani, A. et al · 2017
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Language Models are Few-Shot Learners (2020)
Brown, T. B. et al · 2020
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A deep learning approach to the inverse problem of modulus identification in elasticity
Ni, B. & Gao, H · 2020
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ByT5: Towards a token-free future with pre-trained byte-to-byte models
Xue, L. et al · 2021
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Hu, E. J. et al · 2021
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An automated biomateriomics platform for sustainable programmable materials discovery
Lee, N. A., Shen, S. C. & Buehler, M. J · 2022
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Star: Bootstrapping reasoning with reasoning (2022)
Zelikman, E., Wu, Y., Mu, J. & Goodman, N. D · 2022
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Inverse design of truss lattice materials with superior buckling resistance
Maurizi, M., Gao, C. & Berto, F · 2022
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Jiang, A. Q. et al · 2023
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MeLM, a generative pretrained language modeling framework that solves forward and inverse mechanics problems
Buehler, M. J · 2023
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Large language models encode clinical knowledge
Singhal, K. et al · 2023
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Deep language models for interpretative and predictive materials science
Hu, Y. & Buehler, M. J · 2023
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MechGPT, a language-based strategy for mechanics and materials modeling that connects knowledge across scales, disciplines and modalities
Leveraging language representation for materials exploration and discovery
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Large-language models: The game-changers for materials science research
Yu, S., Ran, N. & Liu, J · 2024
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Sciagents: Automating scientific discovery through multi-agent intelligent graph reasoning (2024)
Ghafarollahi, A. & Buehler, M. J · 2024
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Buehler, M. J · 2023
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BioinspiredLLM: Conversational Large Language Model for the Mechanics of Biological and Bio-inspired Materials
Luu, R. K. & Buehler, M. J · 2023
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Chain-of-thought prompting elicits reasoning in large language models (2023)
Wei, J. et al · 2023
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Kojima, T., Gu, S. S., Reid, M., Matsuo, Y. & Iwasawa, Y · 2023
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