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Philippe Schwaller

Philippe Schwaller has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining; often with Andrew D White, Sam Cox.

2 papers in our library · 2023–2024

OpenAlex · ORCID · Wikidata · h-index 32 · 201 works · 8,590 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 326 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #3909

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓École Polytechnique Fédérale de LausanneLausanne · Switzerland2017–2026 · 101 paperscurrent🔬NCCR CatalysisSwitzerland2022–2026 · 61 paperscurrent🔬IBM Research - ZurichRüschlikon · Switzerland2018–2026 · 41 paperscurrent🔬Centre d'Imagerie BioMedicaleLausanne · Switzerland2026 · 4 paperscurrent🔬Institute of Chemical and Engineering SciencesSingapore · Singapore2025–2026 · 4 paperscurrent🔬NCCR Chemical Biology - Visualisation and Control of Biological Processes Using ChemistryGeneva · Switzerland2026 · 2 paperscurrent🎓Formation Continue UNIL-EPFLÉcublens · Switzerland2026 · 1 papercurrent🎓University of LausanneLausanne · Switzerland2026 · 1 papercurrent🎓University of BernBern · Switzerland2019–2021 · 13 papers🎓University of CambridgeCambridge · United Kingdom2018–2021 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksMaterials Science · 2 worksComputational Theory and Mathematics · 2 worksMaterials Chemistry · 2 worksChemistry · 1 workPhysical and Theoretical Chemistry · 1 workArtificial Intelligence · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 2 works

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Leveraging large language models for predictive chemistry (2024 · 392 citations)
    Chemistry datasets are usually small, so researchers tend to build bespoke machine learning models with hand-crafted chemical descriptors.
  2. ChemCrow: Augmenting large-language models with chemistry tools (2023 · 211 citations)
    General-purpose LLMs such as GPT-4 often fail at chemistry. They cannot reliably convert IUPAC names into structures, and they have no access to specialised software or databases. Meanwhile, many strong computational chemistry tools exist, but non-programmers find them hard to combine. ChemCrow addresses both…

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Leveraging large language models for predictive chemistryNature Machine IntelligenceKevin Maik Jablonka, Philippe Schwaller, Andres Ortega‐Guerrero, et al.2024 · 392 citations
  2. ChemCrow: Augmenting large-language models with chemistry toolsarXiv:2304.05376Andres M Bran, Sam Cox, Oliver Schilter, et al.2023 · 211 citations
  3. Targeting protein–ligand neosurfaces with a generalizable deep learning tool ↗Nature · no summary yetAnthony Marchand et al.2025 · 81 citations

 Co-authors here

2 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 326 times (of the 149,439 papers whose bibliographies we read); 136 citing papers with a page here →.

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