📰 Nature Machine Intelligence 2023 — papers

The works of Nature Machine Intelligence published in 2023 that our library holds (publisher: Nature Portfolio): 2 works, 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. Parameter-efficient fine-tuning of large-scale pre-trained language modelsNing Ding, Yujia Qin, Guang Yang et al.1,167 citations · our summary
2. CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling ↗Bowen Deng, Peichen Zhong, KyuJung Jun et al.916 citations
3. Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support ↗Ashish Kumar Sharma, Inna Wanyin Lin, Adam S. Miner et al.492 citations
4. Algorithms to estimate Shapley value feature attributions ↗Hugh Chen, Ian Covert, Scott Lundberg et al.472 citations
5. Multimodal data fusion for cancer biomarker discovery with deep learning ↗Sandra Steyaert, Marija Pizurica, Divya Nagaraj et al.398 citations
6. Interpretable bilinear attention network with domain adaptation improves drug–target prediction ↗Peizhen Bai, Filip N. Miljković, Bino John et al.362 citations
7. Artificial intelligence-powered electronic skin ↗Changhao Xu, Samuel A. Solomon, Wei Feng Gao255 citations
8. Inverse design of nonlinear mechanical metamaterials via video denoising diffusion models ↗Jan-Hendrik Bastek, Dennis M. Kochmann252 citations
9. Knowledge graph-enhanced molecular contrastive learning with functional prompt ↗Fang Yin, Qiang Zhang, Ningyu Zhang et al.232 citations
10. Decoding speech perception from non-invasive brain recordings ↗Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin et al.215 citations

All works of the year (174)

The most cited first; 2 with our summary link to their page here, the others to the original.

1. Parameter-efficient fine-tuning of large-scale pre-trained language modelsNing Ding, Yujia Qin, Guang Yang et al.1,167 citations · our summary
2. CHGNet as a pretrained universal neural network potential for charge-informed atomistic modelling ↗Bowen Deng, Peichen Zhong, KyuJung Jun et al.916 citations
3. Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support ↗Ashish Kumar Sharma, Inna Wanyin Lin, Adam S. Miner et al.492 citations
4. Algorithms to estimate Shapley value feature attributions ↗Hugh Chen, Ian Covert, Scott Lundberg et al.472 citations
5. Multimodal data fusion for cancer biomarker discovery with deep learning ↗Sandra Steyaert, Marija Pizurica, Divya Nagaraj et al.398 citations
6. Interpretable bilinear attention network with domain adaptation improves drug–target prediction ↗Peizhen Bai, Filip N. Miljković, Bino John et al.362 citations
7. Artificial intelligence-powered electronic skin ↗Changhao Xu, Samuel A. Solomon, Wei Feng Gao255 citations
8. Inverse design of nonlinear mechanical metamaterials via video denoising diffusion models ↗Jan-Hendrik Bastek, Dennis M. Kochmann252 citations
9. Knowledge graph-enhanced molecular contrastive learning with functional prompt ↗Fang Yin, Qiang Zhang, Ningyu Zhang et al.232 citations
10. Decoding speech perception from non-invasive brain recordings ↗Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin et al.215 citations
11. A multi-modal pre-training transformer for universal transfer learning in metal–organic frameworks ↗Yeonghun Kang, Hyunsoo Park, Berend Smit et al.208 citations
12. Influencing human–AI interaction by priming beliefs about AI can increase perceived trustworthiness, empathy and effectiveness ↗Pat Pataranutaporn, Ruby Liu, Ed Finn et al.188 citations
13. From attribution maps to human-understandable explanations through Concept Relevance Propagation ↗Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun et al.179 citations
14. Multi-modal molecule structure–text model for text-based retrieval and editing ↗Shengchao Liu, Weili Nie, Chengpeng Wang et al.179 citations
15. Federated benchmarking of medical artificial intelligence with MedPerf ↗Alexandros Karargyris, Renato Umeton, Micah Sheller et al.174 citations
16. Mixed-modality speech recognition and interaction using a wearable artificial throat ↗Qisheng Yang, Weiqiu Jin, Qihang Zhang et al.172 citations
17. Large language models challenge the future of higher education ↗Silvia Milano, Joshua Aaron McGrane, Sabina Leonelli166 citations
18. Interpretable weather forecasting for worldwide stations with a unified deep model ↗Haixu Wu, Hang Zhou, Mingsheng Long et al.162 citations
19. Multimodal learning with graphs ↗Yasha Ektefaie, George Dasoulas, Ayush Noori et al.161 citations
20. Encoding physics to learn reaction–diffusion processes ↗Chengping Rao, Pu Ren, Qi Wang et al.153 citations
21. Pan-Peptide Meta Learning for T-cell receptor–antigen binding recognition ↗Yicheng Gao, Yuli Gao, Yuxiao Fan et al.153 citations
22. Defending ChatGPT against jailbreak attack via self-reminders ↗Yueqi Xie, Jingwei Yi, Jiawei Shao et al.149 citations
23. Regression Transformer enables concurrent sequence regression and generation for molecular language modelling ↗Jannis Born, Matteo Manica141 citations
24. Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning ↗Jenny Yang, Andrew A. S. Soltan, David W. Eyre et al.140 citations
25. An ethical trajectory planning algorithm for autonomous vehicles ↗Maximilian Geisslinger, Franziska Poszler, Markus Lienkamp134 citations

See all 174 papers in Nature Machine Intelligence 2023 — papers →

📄 Works with our summary in our library (2)

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

1. Parameter-efficient fine-tuning of large-scale pre-trained language modelsNature Machine IntelligenceNing Ding, Yujia Qin, Guang You Yang, et al.2023 · 1,324 citations
2. Factuality Challenges in the Era of Large Language ModelsNature Machine IntelligenceIsabelle Augenstein, Timothy Baldwin, Meeyoung Cha, et al.2023 · 242 citations

🧭 Top topics

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

🧠Language models & pretraining (2)

📚 Fields

🎭Arts and Humanities (2)🖥️Computer Science (2)🤝Social Sciences (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.

🎓University of Southern CaliforniaLos Angeles · United States1 work here🎓University of CopenhagenCopenhagen · Denmark1 work here🎓University of Wisconsin–MadisonMadison · United States1 work here🎓University of Illinois Urbana-ChampaignUrbana · United States1 work here🎓University of OxfordOxford · United Kingdom1 work here🔬Max Planck Institute for Security and PrivacyBochum · Germany1 work here🔬Beijing Academy of Artificial IntelligenceBeijing · China1 work here🎓Mohamed bin Zayed University of Artificial IntelligenceAbu Dhabi · United Arab Emirates1 work here🏢MetaMenlo Park · United States1 work here🎓Indiana University BloomingtonBloomington · United States1 work here🎓Tsinghua Shenzhen International Graduate SchoolShenzhen · China1 work here🎓Indiana UniversityBloomington · United States1 work here

works and citations from OpenAlex and our library.

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