📰 Nature Machine Intelligence 2024 — papers

The works of Nature Machine Intelligence published in 2024 that our library holds (publisher: Nature Portfolio): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.

Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. Augmenting large language models with chemistry tools ↗Andres M Bran, Sam Cox, Oliver Tobias Schilter et al.762 citations
2. Leveraging large language models for predictive chemistryKevin Maik Jablonka, Philippe Schwaller, Andres Ortega‐Guerrero et al.367 citations · our summary
3. Foundation model for cancer imaging biomarkers ↗Suraj Pai, Dennis Bontempi, Ibrahim Hadžić et al.195 citations
4. Generative AI for designing and validating easily synthesizable and structurally novel antibiotics ↗Kyle Swanson, Gary Liu, Denise B. Catacutan et al.184 citations
5. Factuality challenges in the era of large language models and opportunities for fact-checkingIsabelle Augenstein, Timothy J. Baldwin, Meeyoung Cha et al.171 citations · our summary
6. Machine learning-aided generative molecular design ↗Yuanqi Du, Arian R. Jamasb, Jeff Guo et al.169 citations
7. Equivariant 3D-conditional diffusion model for molecular linker design ↗Ilia Igashov, Hannes Stärk, Clément Vignac et al.166 citations
8. LLM-based agentic systems in medicine and healthcare ↗Jianing Qiu, Kyle Lam, Guohao Li et al.165 citations
9. State-specific protein–ligand complex structure prediction with a multiscale deep generative model ↗Zhuoran Qiao, Weili Nie, Arash Vahdat et al.156 citations
10. Laplace neural operator for solving differential equations ↗Qianying Cao, Somdatta Goswami, George Em Karniadakis153 citations

All works of the year (178)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. Augmenting large language models with chemistry tools ↗Andres M Bran, Sam Cox, Oliver Tobias Schilter et al.762 citations
2. Leveraging large language models for predictive chemistryKevin Maik Jablonka, Philippe Schwaller, Andres Ortega‐Guerrero et al.367 citations · our summary
3. Foundation model for cancer imaging biomarkers ↗Suraj Pai, Dennis Bontempi, Ibrahim Hadžić et al.195 citations
4. Generative AI for designing and validating easily synthesizable and structurally novel antibiotics ↗Kyle Swanson, Gary Liu, Denise B. Catacutan et al.184 citations
5. Factuality challenges in the era of large language models and opportunities for fact-checkingIsabelle Augenstein, Timothy J. Baldwin, Meeyoung Cha et al.171 citations · our summary
6. Machine learning-aided generative molecular design ↗Yuanqi Du, Arian R. Jamasb, Jeff Guo et al.169 citations
7. Equivariant 3D-conditional diffusion model for molecular linker design ↗Ilia Igashov, Hannes Stärk, Clément Vignac et al.166 citations
8. LLM-based agentic systems in medicine and healthcare ↗Jianing Qiu, Kyle Lam, Guohao Li et al.165 citations
9. State-specific protein–ligand complex structure prediction with a multiscale deep generative model ↗Zhuoran Qiao, Weili Nie, Arash Vahdat et al.156 citations
10. Laplace neural operator for solving differential equations ↗Qianying Cao, Somdatta Goswami, George Em Karniadakis153 citations
11. A transformer-based weakly supervised computational pathology method for clinical-grade diagnosis and molecular marker discovery of gliomas ↗Rui Jiang, Xiaoxu Yin, Pengshuai Yang et al.146 citations
12. A 5′ UTR language model for decoding untranslated regions of mRNA and function predictions ↗Yanyi Chu, Dan Yu, Yupeng Li et al.139 citations
13. Capturing complex hand movements and object interactions using machine learning-powered stretchable smart textile gloves ↗Arvin Tashakori, Zenan Jiang, Amir Servati et al.135 citations
14. Predicting equilibrium distributions for molecular systems with deep learning ↗Shuxin Zheng, Jiyan He, Chang Liu et al.134 citations
15. Multi-purpose RNA language modelling with motif-aware pretraining and type-guided fine-tuning ↗Ning Wang, Jiang Bian, Yuchen Li et al.132 citations
16. Protein function prediction as approximate semantic entailment ↗Maxat Kulmanov, Francisco J. Guzmán‐Vega, Paula D Duek et al.124 citations
17. Autonomous 3D positional control of a magnetic microrobot using reinforcement learning ↗Sarmad Ahmad Abbasi, Awais Ahmed, Seungmin Noh et al.115 citations
18. The benefits, risks and bounds of personalizing the alignment of large language models to individuals ↗Hannah Rose Kirk, Bertie Vidgen, Paul Röttger et al.111 citations
19. Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations ↗Nick McGreivy, Ammar H. Hakim109 citations
20. Physicochemical graph neural network for learning protein–ligand interaction fingerprints from sequence data ↗Huan Yee Koh, Anh T. N. Nguyen, Shirui Pan et al.106 citations
21. Guidelines for ethical use and acknowledgement of large language models in academic writing ↗Sebastian Porsdam Mann, Anuraag A Vazirani, Mateo Aboy et al.105 citations
22. DNA language model GROVER learns sequence context in the human genome ↗Melissa Sanabria, Jonas Hirsch, Pierre M. Joubert et al.97 citations
23. Machine learning for micro- and nanorobots ↗Lidong Yang, Jialin Jiang, Fengtong Ji et al.97 citations
24. A neural speech decoding framework leveraging deep learning and speech synthesis ↗Xupeng Chen, Ran Wang, Amirhossein Khalilian-Gourtani et al.95 citations
25. Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging ↗Sergios Gatidis, Marcel Früh, Matthias Philipp Fabritius et al.95 citations

See all 178 papers in Nature Machine Intelligence 2024 — papers →

📄 Works with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. Leveraging large language models for predictive chemistryNature Machine IntelligenceKevin Maik Jablonka, Philippe Schwaller, Andres Ortega‐Guerrero, et al.2024 · 392 citations

🧭 Top topics

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

🧠Language models & pretraining (1)

📚 Fields

🧪Chemistry (1)🖥️Computer Science (1)🧱Materials Science (1)

🧑‍🔬 Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

🏛️ Top institutions

Institutions on the bylines of its works here, by the number of works.

🎓École Polytechnique Fédérale de LausanneLausanne · Switzerland1 work here🎓Friedrich Schiller University JenaJena · Germany1 work here

works and citations from OpenAlex and our library.

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