--- title: "Nature Machine Intelligence 2023 — papers — Elamur Research" description: "Nature Machine Intelligence 2023 — papers: 2 papers in the Elamur Research library, with our summaries, ranked by citations." canonical: "https://research.elamur.ai/free/en/venues/nature-machine-intelligence/2023/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/nature-machine-intelligence/2023/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [Nature Machine Intelligence](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/) / 2023 # 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. [**174** works that year](#all) · [**2** works in our library](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/2023/#works) · [**1,566** citations of these works](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/2023/#works) ## 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 models](https://md.research.elamur.ai/free/en/papers/ding-2023-parameter-efficient-fine-tuning-large/)**Ning 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 ↗](https://doi.org/10.1038/s42256-023-00716-3)**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 ↗](https://doi.org/10.1038/s42256-022-00593-2)**Ashish Kumar Sharma, Inna Wanyin Lin, Adam S. Miner et al.*492 citations* 4. **[Algorithms to estimate Shapley value feature attributions ↗](https://doi.org/10.1038/s42256-023-00657-x)**Hugh Chen, Ian Covert, Scott Lundberg et al.*472 citations* 5. **[Multimodal data fusion for cancer biomarker discovery with deep learning ↗](https://doi.org/10.1038/s42256-023-00633-5)**Sandra Steyaert, Marija Pizurica, Divya Nagaraj et al.*398 citations* 6. **[Interpretable bilinear attention network with domain adaptation improves drug–target prediction ↗](https://doi.org/10.1038/s42256-022-00605-1)**Peizhen Bai, Filip N. Miljković, Bino John et al.*362 citations* 7. **[Artificial intelligence-powered electronic skin ↗](https://doi.org/10.1038/s42256-023-00760-z)**Changhao Xu, Samuel A. Solomon, Wei Feng Gao*255 citations* 8. **[Inverse design of nonlinear mechanical metamaterials via video denoising diffusion models ↗](https://doi.org/10.1038/s42256-023-00762-x)**Jan-Hendrik Bastek, Dennis M. Kochmann*252 citations* 9. **[Knowledge graph-enhanced molecular contrastive learning with functional prompt ↗](https://doi.org/10.1038/s42256-023-00654-0)**Fang Yin, Qiang Zhang, Ningyu Zhang et al.*232 citations* 10. **[Decoding speech perception from non-invasive brain recordings ↗](https://doi.org/10.1038/s42256-023-00714-5)**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 models](https://md.research.elamur.ai/free/en/papers/ding-2023-parameter-efficient-fine-tuning-large/)**Ning 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 ↗](https://doi.org/10.1038/s42256-023-00716-3)**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 ↗](https://doi.org/10.1038/s42256-022-00593-2)**Ashish Kumar Sharma, Inna Wanyin Lin, Adam S. Miner et al.*492 citations* 4. **[Algorithms to estimate Shapley value feature attributions ↗](https://doi.org/10.1038/s42256-023-00657-x)**Hugh Chen, Ian Covert, Scott Lundberg et al.*472 citations* 5. **[Multimodal data fusion for cancer biomarker discovery with deep learning ↗](https://doi.org/10.1038/s42256-023-00633-5)**Sandra Steyaert, Marija Pizurica, Divya Nagaraj et al.*398 citations* 6. **[Interpretable bilinear attention network with domain adaptation improves drug–target prediction ↗](https://doi.org/10.1038/s42256-022-00605-1)**Peizhen Bai, Filip N. Miljković, Bino John et al.*362 citations* 7. **[Artificial intelligence-powered electronic skin ↗](https://doi.org/10.1038/s42256-023-00760-z)**Changhao Xu, Samuel A. Solomon, Wei Feng Gao*255 citations* 8. **[Inverse design of nonlinear mechanical metamaterials via video denoising diffusion models ↗](https://doi.org/10.1038/s42256-023-00762-x)**Jan-Hendrik Bastek, Dennis M. Kochmann*252 citations* 9. **[Knowledge graph-enhanced molecular contrastive learning with functional prompt ↗](https://doi.org/10.1038/s42256-023-00654-0)**Fang Yin, Qiang Zhang, Ningyu Zhang et al.*232 citations* 10. **[Decoding speech perception from non-invasive brain recordings ↗](https://doi.org/10.1038/s42256-023-00714-5)**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 ↗](https://doi.org/10.1038/s42256-023-00628-2)**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 ↗](https://doi.org/10.1038/s42256-023-00720-7)**Pat Pataranutaporn, Ruby Liu, Ed Finn et al.*188 citations* 13. **[From attribution maps to human-understandable explanations through Concept Relevance Propagation ↗](https://doi.org/10.1038/s42256-023-00711-8)**Reduan Achtibat, Maximilian Dreyer, Ilona Eisenbraun et al.*179 citations* 14. **[Multi-modal molecule structure–text model for text-based retrieval and editing ↗](https://doi.org/10.1038/s42256-023-00759-6)**Shengchao Liu, Weili Nie, Chengpeng Wang et al.*179 citations* 15. **[Federated benchmarking of medical artificial intelligence with MedPerf ↗](https://doi.org/10.1038/s42256-023-00652-2)**Alexandros Karargyris, Renato Umeton, Micah Sheller et al.*174 citations* 16. **[Mixed-modality speech recognition and interaction using a wearable artificial throat ↗](https://doi.org/10.1038/s42256-023-00616-6)**Qisheng Yang, Weiqiu Jin, Qihang Zhang et al.*172 citations* 17. **[Large language models challenge the future of higher education ↗](https://doi.org/10.1038/s42256-023-00644-2)**Silvia Milano, Joshua Aaron McGrane, Sabina Leonelli*166 citations* 18. **[Interpretable weather forecasting for worldwide stations with a unified deep model ↗](https://doi.org/10.1038/s42256-023-00667-9)**Haixu Wu, Hang Zhou, Mingsheng Long et al.*162 citations* 19. **[Multimodal learning with graphs ↗](https://doi.org/10.1038/s42256-023-00624-6)**Yasha Ektefaie, George Dasoulas, Ayush Noori et al.*161 citations* 20. **[Encoding physics to learn reaction–diffusion processes ↗](https://doi.org/10.1038/s42256-023-00685-7)**Chengping Rao, Pu Ren, Qi Wang et al.*153 citations* 21. **[Pan-Peptide Meta Learning for T-cell receptor–antigen binding recognition ↗](https://doi.org/10.1038/s42256-023-00619-3)**Yicheng Gao, Yuli Gao, Yuxiao Fan et al.*153 citations* 22. **[Defending ChatGPT against jailbreak attack via self-reminders ↗](https://doi.org/10.1038/s42256-023-00765-8)**Yueqi Xie, Jingwei Yi, Jiawei Shao et al.*149 citations* 23. **[Regression Transformer enables concurrent sequence regression and generation for molecular language modelling ↗](https://doi.org/10.1038/s42256-023-00639-z)**Jannis Born, Matteo Manica*141 citations* 24. **[Algorithmic fairness and bias mitigation for clinical machine learning with deep reinforcement learning ↗](https://doi.org/10.1038/s42256-023-00697-3)**Jenny Yang, Andrew A. S. Soltan, David W. Eyre et al.*140 citations* 25. **[An ethical trajectory planning algorithm for autonomous vehicles ↗](https://doi.org/10.1038/s42256-022-00607-z)**Maximilian Geisslinger, Franziska Poszler, Markus Lienkamp*134 citations* [See all 174 papers in Nature Machine Intelligence 2023 — papers →](https://md.research.elamur.ai/free/en/venues/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 models](https://md.research.elamur.ai/free/en/papers/ding-2023-parameter-efficient-fine-tuning-large/) [Nature Machine Intelligence](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/)**Ning Ding, Yujia Qin, Guang You Yang, et al.*2023 · 1,324 citations* 2. **[Factuality Challenges in the Era of Large Language Models](https://md.research.elamur.ai/free/en/papers/augenstein-2023-factuality-challenges-era-large-language/) [Nature Machine Intelligence](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/)**Isabelle 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)](https://md.research.elamur.ai/free/en/topics/language-models/) ## Fields [Arts and Humanities (2)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (2)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Social Sciences (1)](https://md.research.elamur.ai/free/en/shelves/social-sciences/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Chi-Min Chan**1 work here · 1,324 citations](https://md.research.elamur.ai/free/en/authors/chi-min-chan/) · [🧑‍🔬**Ning Ding**1 work here · 1,324 citations](https://md.research.elamur.ai/free/en/authors/ning-ding/) · [🧑‍🔬**Shengding Hu**1 work here · 1,324 citations](https://md.research.elamur.ai/free/en/authors/shengding-hu/) · [🧑‍🔬**Weilin Zhao**1 work here · 1,324 citations](https://md.research.elamur.ai/free/en/authors/weilin-zhao/) · [🧑‍🔬**Weize Chen**1 work here · 1,324 citations](https://md.research.elamur.ai/free/en/authors/weize-chen/) · [🧑‍🔬**Yujia Qin**1 work here · 1,324 citations](https://md.research.elamur.ai/free/en/authors/yujia-qin/) · [🧑‍🔬**Yulin Chen**1 work here · 1,324 citations](https://md.research.elamur.ai/free/en/authors/yulin-chen/) · [🧑‍🔬**Yusheng Su**1 work here · 1,324 citations](https://md.research.elamur.ai/free/en/authors/yusheng-su/) · [🧑‍🔬**Alon Halevy**1 work here · 242 citations](https://md.research.elamur.ai/free/en/authors/alon-halevy/) · [🧑‍🔬**David Corney**1 work here · 242 citations](https://md.research.elamur.ai/free/en/authors/david-corney/) · [🧑‍🔬**Eduard Hovy**1 work here · 242 citations](https://md.research.elamur.ai/free/en/authors/eduard-hovy/) · [🧑‍🔬**Heng Ji**1 work here · 242 citations](https://md.research.elamur.ai/free/en/authors/heng-ji/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**University of Southern California** Los Angeles · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-southern-california/) · [🎓**University of Copenhagen** Copenhagen · Denmark 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-copenhagen/) · [🎓**University of Wisconsin–Madison** Madison · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-wisconsin-madison/) · [🎓**University of Illinois Urbana-Champaign** Urbana · United States 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-illinois-urbana-champaign/) · [🎓**University of Oxford** Oxford · United Kingdom 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) · [🔬**Max Planck Institute for Security and Privacy** Bochum · Germany 1 work here](https://md.research.elamur.ai/free/en/labs/max-planck-institute-for-security-and-privacy/) · [🔬**Beijing Academy of Artificial Intelligence** Beijing · China 1 work here](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/) · [🎓**Mohamed bin Zayed University of Artificial Intelligence** Abu Dhabi · United Arab Emirates 1 work here](https://md.research.elamur.ai/free/en/universities/mohamed-bin-zayed-university-of-artificial-intelligence/) · [🏢**Meta** Menlo Park · United States 1 work here](https://md.research.elamur.ai/free/en/companies/meta/) · [🎓**Indiana University Bloomington** Bloomington · United States 1 work here](https://md.research.elamur.ai/free/en/universities/indiana-university-bloomington/) · [🎓**Tsinghua Shenzhen International Graduate School** Shenzhen · China 1 work here](https://md.research.elamur.ai/free/en/universities/tsinghua-shenzhen-international-graduate-school/) · [🎓**Indiana University** Bloomington · United States 1 work here](https://md.research.elamur.ai/free/en/universities/indiana-university/) works and citations from OpenAlex and our library. - [← previous Nature Machine Intelligence 2018](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/2018/) - [↑ back to Nature Machine Intelligence](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/)