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Augmenting large language models with chemistry tools

Publications associées (44)

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Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems

Boi Faltings, Fei Mi, Lingjing Kong, Fengyu Cai, Wanhao Zhou

As the labeling cost for different modules in task-oriented dialog (ToD) systems is expensive, a major challenge is to train different modules with the least amount of labeled data. Recently, large-scale pre-trained language models, have shown promising re ...

ASSOC COMPUTATIONAL LINGUISTICS-ACL2021

Algorithms and flowchart for the design of synthetic biochemical networks

Homa Mohammadi Peyhani

New drugs are needed to assure effective therapies for previously untreated diseases, emerging diseases, and personalized medicine, but the process of drug development is complex, costly, and time-consuming. This is especially problematic considering that ...

EPFL2020

Ever since the links between the development of new technologies and economic growth became evident, researchers have attempted to study how the creation of knowledge fosters progress. If pushing the frontier of knowledge has an impact on progress and well ...

EPFL2020

On design strategies for binary dielectric metasurfaces based on the Fourier modal method

Kévin Müller

Binary dielectric metasurfaces are arrays of sub-wavelength structures that act as a thin layer of artificial material. They are generally lossless and relatively simple to fabricate since only a single structuring step is required. By carefully designing ...

EPFL2020

Synthesis of Thiochromans via [3+3] Annulation of Aminocyclopropanes with Thiophenols

Jérôme Waser, Seongmin Jeon, Mingming Wang

We report the one-pot synthesis of 4-amino thiochromans using simple aminocyclopropanes and thiophenols through a formal [3+3] annulation reaction. This reaction proceeds under mild conditions with good functional group tolerance. The thiochroman core was ...

AMER CHEMICAL SOC2020

The fragment-based approach is a well-established strategy for organic drug discovery. Recent studies have shown that this approach also has considerable potential in medicinal inorganic chemistry, and yet the approach has not been formally described. Here ...

ELSEVIER2019

FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents

Jean-Philippe Thiran, Hazim Kemal Ekenel, Guillaume Jaume

We present a new dataset for form understanding in noisy scanned documents (FUNSD) that aims at extracting and structuring the textual content of forms. The dataset comprises 199 real, fully annotated, scanned forms. The documents are noisy and vary widely ...

IEEE2019

Impact of cation redox chemistry on continuous hydrothermal synthesis of 2D-Ni(Co/Fe) hydroxides

Andreas Stephan Lesch, Massimo Rosa

Continuous hydrothermal flow synthesis (CHFS) is a facile, upscalable and cost-efficient synthetic method enabling the nanostructuring of advanced functional materials in steady conditions, i.e. not in batch synthesis. In this paper, we use CHFS to crystal ...

ROYAL SOC CHEMISTRY2019

Manganese-mediated reductive amidation of esters with nitroarenes

Xile Hu, Peng Wang, Chi Wai Cheung, Ning Shen

Amides are ubiquitous molecules in nature and in synthetic chemistry. Here we report a convenient and efficient method to synthesize N-aryl amides via amidation of esters with nitroarenes. In the presence of manganese metal, this amidation proceeded smooth ...

ROYAL SOC CHEMISTRY2019

Social media (SM) platforms have demonstrated their ability to facilitate knowledge sharing on the global scale. They are increasingly often employed in educational and humanitarian domains where, despite their general benefits, they expose challenges pecu ...

EPFL2017