---
title: "Nature Machine Intelligence 2023 — all accepted papers"
description: "All 174 papers of Nature Machine Intelligence 2023 · page 1 of 2, the most cited first; those with our summary link to it."
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# Nature Machine Intelligence 2023: all accepted papers

174 papers · page 1 of 2 · the most cited first · [← Nature Machine Intelligence 2023](https://md.research.elamur.ai/free/en/venues/nature-machine-intelligence/2023/)

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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*
26. **[A method for multiple-sequence-alignment-free protein structure prediction using a protein language model ↗](https://doi.org/10.1038/s42256-023-00721-6)**Xiaomin Fang, Fan Wang, Lihang Liu et al.*131 citations*
27. **[Evaluation of post-hoc interpretability methods in time-series classification ↗](https://doi.org/10.1038/s42256-023-00620-w)**Hugues Turbé, Mina Bjelogrlic, Christian Lovis et al.*128 citations*
28. **[Neural scaling of deep chemical models ↗](https://doi.org/10.1038/s42256-023-00740-3)**Nathan C. Frey, Ryan Soklaski, Simon Axelrod et al.*123 citations*
29. **[Explaining machine learning models with interactive natural language conversations using TalkToModel ↗](https://doi.org/10.1038/s42256-023-00692-8)**Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju et al.*122 citations*
30. **[Stretchable e-skin and transformer enable high-resolution morphological reconstruction for soft robots ↗](https://doi.org/10.1038/s42256-023-00622-8)**Delin Hu, Francesco Giorgio-Serchi, Shiming Zhang et al.*122 citations*
31. **[Synthetic data accelerates the development of generalizable learning-based algorithms for X-ray image analysis ↗](https://doi.org/10.1038/s42256-023-00629-1)**Cong Gao, Benjamin D. Killeen, Yicheng Hu et al.*116 citations*
32. **[Self-supervised learning of hologram reconstruction using physics consistency ↗](https://doi.org/10.1038/s42256-023-00704-7)**Luzhe Huang, Hanlong Chen, Tairan Liu et al.*112 citations*
33. **[Uncertainty-guided dual-views for semi-supervised volumetric medical image segmentation ↗](https://doi.org/10.1038/s42256-023-00682-w)**Himashi Peiris, Munawar Hayat, Zhaolin Chen et al.*105 citations*
34. **[Deep neural networks predict class I major histocompatibility complex epitope presentation and transfer learn neoepitope immunogenicity ↗](https://doi.org/10.1038/s42256-023-00694-6)**Benjamin Alexander Albert, Yunxiao Yang, Xiaoshan M. Shao et al.*104 citations*
35. **[Reconstructing growth and dynamic trajectories from single-cell transcriptomics data ↗](https://doi.org/10.1038/s42256-023-00763-w)**Yutong Sha, Yuchi Qiu, Peijie Zhou et al.*101 citations*
36. **[Human–AI adaptive dynamics drives the emergence of information cocoons ↗](https://doi.org/10.1038/s42256-023-00731-4)**Jinghua Piao, Jiazhen Liu, Fang Zhang et al.*100 citations*
37. **[ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling ↗](https://doi.org/10.1038/s42256-023-00712-7)**Odin Zhang, Jintu Zhang, Jieyu Jin et al.*99 citations*
38. **[Development of the Senseiver for efficient field reconstruction from sparse observations ↗](https://doi.org/10.1038/s42256-023-00746-x)**Javier E. Santos, Zachary Fox, Arvind T. Mohan et al.*95 citations*
39. **[A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills ↗](https://doi.org/10.1038/s42256-023-00728-z)**Mengli Sui, Yiming Ouyang, Hu Jin et al.*94 citations*
40. **[Deep learning supported discovery of biomarkers for clinical prognosis of liver cancer ↗](https://doi.org/10.1038/s42256-023-00635-3)**Junhao Liang, Weisheng Zhang, Jianghui Yang et al.*93 citations*
41. **[Active mechanical haptics with high-fidelity perceptions for immersive virtual reality ↗](https://doi.org/10.1038/s42256-023-00671-z)**Zhuang Zhang, Zhenghao Xu, Luoqian Emu et al.*91 citations*
42. **[Forecasting the future of artificial intelligence with machine learning-based link prediction in an exponentially growing knowledge network ↗](https://doi.org/10.1038/s42256-023-00735-0)**Mario Krenn, Lorenzo Buffoni, Bruno Coelho Coutinho et al.*91 citations*
43. **[Generative AI entails a credit–blame asymmetry ↗](https://doi.org/10.1038/s42256-023-00653-1)**Sebastian Porsdam Mann, Brian David Earp, Sven Nyholm et al.*91 citations*
44. **[Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset ↗](https://doi.org/10.1038/s42256-023-00753-y)**Aria Y. Wang, Kendrick Kay, Thomas Naselaris et al.*90 citations*
45. **[Incorporating neuro-inspired adaptability for continual learning in artificial intelligence ↗](https://doi.org/10.1038/s42256-023-00747-w)**Liyuan Wang, Xingxing Zhang, Qian Li et al.*90 citations*
46. **[Continuous improvement of self-driving cars using dynamic confidence-aware reinforcement learning ↗](https://doi.org/10.1038/s42256-023-00610-y)**Zhong Liang Cao, Kun Jiang, Weitao Zhou et al.*88 citations*
47. **[Labelling instructions matter in biomedical image analysis ↗](https://doi.org/10.1038/s42256-023-00625-5)**Tim Rädsch, Annika Reinke, Vivienn Weru et al.*88 citations*
48. **[Annotating metabolite mass spectra with domain-inspired chemical formula transformers ↗](https://doi.org/10.1038/s42256-023-00708-3)**Samuel Goldman, Jeremy Wohlwend, Martin Stražar et al.*87 citations*
49. **[The importance of resource awareness in artificial intelligence for healthcare ↗](https://doi.org/10.1038/s42256-023-00670-0)**Zhenge Jia, Jianxu Chen, Xiaowei Xu et al.*86 citations*
50. **[Characterizing the interaction conformation between T-cell receptors and epitopes with deep learning ↗](https://doi.org/10.1038/s42256-023-00634-4)**Xingang Peng, Yipin Lei, Peiyuan Feng et al.*85 citations*
51. **[Echo state graph neural networks with analogue random resistive memory arrays ↗](https://doi.org/10.1038/s42256-023-00609-5)**Shaocong Wang, Yi Li, Dingchen Wang et al.*84 citations*
52. **[Geometric deep learning reveals the spatiotemporal features of microscopic motion ↗](https://doi.org/10.1038/s42256-022-00595-0)**Jesús D. Pineda, Benjamin Midtvedt, Harshith Bachimanchi et al.*83 citations*
53. **[A neuro-vector-symbolic architecture for solving Raven’s progressive matrices ↗](https://doi.org/10.1038/s42256-023-00630-8)**Michael Hersche, Mustafa Zeqiri, L. Benini et al.*81 citations*
54. **[Learning from data with structured missingness ↗](https://doi.org/10.1038/s42256-022-00596-z)**Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti et al.*80 citations*
55. **[Towards quantum enhanced adversarial robustness in machine learning ↗](https://doi.org/10.1038/s42256-023-00661-1)**Maxwell T. West, Shu-Lok Tsang, Jia Shun Low et al.*79 citations*
56. **[Construction of a 3D whole organism spatial atlas by joint modelling of multiple slices with deep neural networks ↗](https://doi.org/10.1038/s42256-023-00734-1)**Gefei Wang, Jia Kui Zhao, Yan Yan et al.*77 citations*
57. **[Joint variational autoencoders for multimodal imputation and embedding ↗](https://doi.org/10.1038/s42256-023-00663-z)**Noah Cohen Kalafut, Xiang Lin Huang, Daifeng Wang*76 citations*
58. **[Multitask joint strategies of self-supervised representation learning on biomedical networks for drug discovery ↗](https://doi.org/10.1038/s42256-023-00640-6)**Xiaoqi Wang, Yingjie Cheng, Yaning Yang et al.*72 citations*
59. **[A taxonomy and review of generalization research in NLP ↗](https://doi.org/10.1038/s42256-023-00729-y)**Dieuwke Hupkes, Mario Giulianelli, Verna Dankers et al.*70 citations*
60. **[Accurate online training of dynamical spiking neural networks through Forward Propagation Through Time ↗](https://doi.org/10.1038/s42256-023-00650-4)**Bojian Yin, Federico Corradi, Sander M. Bohté*68 citations*
61. **[Self-play reinforcement learning guides protein engineering ↗](https://doi.org/10.1038/s42256-023-00691-9)**Yi Wang, Hui Tang, Lichao Huang et al.*68 citations*
62. **[Spatially embedded recurrent neural networks reveal widespread links between structural and functional neuroscience findings ↗](https://doi.org/10.1038/s42256-023-00748-9)**Jascha Achterberg, Danyal Akarca, Daniel Strouse et al.*68 citations*
63. **[Learning characteristics of graph neural networks predicting protein–ligand affinities ↗](https://doi.org/10.1038/s42256-023-00756-9)**Andrea Mastropietro, Giuseppe Pasculli, Jürgen Bajorath*67 citations*
64. **[Deep learning of causal structures in high dimensions under data limitations ↗](https://doi.org/10.1038/s42256-023-00744-z)**Kai Lagemann, Christian Lagemann, Bernd Taschler et al.*66 citations*
65. **[Calibrated geometric deep learning improves kinase–drug binding predictions ↗](https://doi.org/10.1038/s42256-023-00751-0)**Yunan Luo, Yang Liu, Jian Xun Peng*65 citations*
66. **[Dual adaptive training of photonic neural networks ↗](https://doi.org/10.1038/s42256-023-00723-4)**Ziyang Zheng, Zhengyang Duan, Hang Chen et al.*64 citations*
67. **[How can LLMs transform the robotic design process? ↗](https://doi.org/10.1038/s42256-023-00669-7)**Francesco Stella, Cosimo Della Santina, Josie Hughes*63 citations*
68. **[Emergent behaviour and neural dynamics in artificial agents tracking odour plumes ↗](https://doi.org/10.1038/s42256-022-00599-w)**Satpreet H. Singh, Floris van Breugel, Rajesh P. N. Rao et al.*61 citations*
69. **[Biomonitoring and precision health in deep space supported by artificial intelligence ↗](https://doi.org/10.1038/s42256-023-00617-5)**Ryan T. Scott, Lauren Sanders, Erik Antonsen et al.*58 citations*
70. **[Uncertainty quantification via a memristor Bayesian deep neural network for risk-sensitive reinforcement learning ↗](https://doi.org/10.1038/s42256-023-00680-y)**Yudeng Lin, Qingtian Zhang, Bin Gao et al.*55 citations*
71. **[Linguistically inspired roadmap for building biologically reliable protein language models ↗](https://doi.org/10.1038/s42256-023-00637-1)**Mai Ha Vu, Rahmad Akbar, Philippe Auguste Robert et al.*54 citations*
72. **[Morphological flexibility in robotic systems through physical polygon meshing ↗](https://doi.org/10.1038/s42256-023-00676-8)**Christoph H. Belke, Kevin Holdcroft, Alexander Sigrist et al.*53 citations*
73. **[Predicting metabolomic profiles from microbial composition through neural ordinary differential equations ↗](https://doi.org/10.1038/s42256-023-00627-3)**Tong Wang, Xu‐Wen Wang, Kathleen A. Lee‐Sarwar et al.*52 citations*
74. **[Deep learning based on parameterized physical forward model for adaptive holographic imaging with unpaired data ↗](https://doi.org/10.1038/s42256-022-00584-3)**Chanseok Lee, Gookho Song, Hyeonggeon Kim et al.*51 citations*
75. **[Reporting electricity consumption is essential for sustainable AI ↗](https://doi.org/10.1038/s42256-023-00750-1)**Charlotte Debus, Marie Piraud, Achim Streit et al.*51 citations*
76. **[The pitfalls of negative data bias for the T-cell epitope specificity challenge ↗](https://doi.org/10.1038/s42256-023-00727-0)**Ceder Dens, Kris Laukens, Wout Bittremieux et al.*50 citations*
77. **[Biological research and self-driving labs in deep space supported by artificial intelligence ↗](https://doi.org/10.1038/s42256-023-00618-4)**Lauren Sanders, Ryan T. Scott, Jason H. Yang et al.*49 citations*
78. **[Physics-enhanced deep surrogates for partial differential equations ↗](https://doi.org/10.1038/s42256-023-00761-y)**Raphaël Pestourie, Youssef Mroueh, Christopher Rackauckas et al.*49 citations*
79. **[A super-resolution strategy for mass spectrometry imaging via transfer learning ↗](https://doi.org/10.1038/s42256-023-00677-7)**Tiepeng Liao, Zihao Ren, Zhaoliang Chai et al.*48 citations*
80. **[Multiple stakeholders drive diverse interpretability requirements for machine learning in healthcare ↗](https://doi.org/10.1038/s42256-023-00698-2)**Fergus Imrie, Robert A. Davis, Mihaela van der Schaar*47 citations*
81. **[Incorporating physics into data-driven computer vision ↗](https://doi.org/10.1038/s42256-023-00662-0)**Achuta Kadambi, Celso de Melo, Cho‐Jui Hsieh et al.*46 citations*
82. **[Self-correcting quantum many-body control using reinforcement learning with tensor networks ↗](https://doi.org/10.1038/s42256-023-00687-5)**Friederike Metz, Marin Bukov*46 citations*
83. **[Testing the limits of SMILES-based de novo molecular generation with curriculum and deep reinforcement learning ↗](https://doi.org/10.1038/s42256-023-00636-2)**Maranga Mokaya, Fergus Imrie, Willem P. van Hoorn et al.*46 citations*
84. **[The AI writing on the wall ↗](https://doi.org/10.1038/s42256-023-00613-9)***46 citations*
85. **[Resolution enhancement with a task-assisted GAN to guide optical nanoscopy image analysis and acquisition ↗](https://doi.org/10.1038/s42256-023-00689-3)**Catherine Bouchard, Theresa Wiesner, Andréanne Deschênes et al.*45 citations*
86. **[Addressing the harms of AI-generated inauthentic content ↗](https://doi.org/10.1038/s42256-023-00690-w)**Filippo Menczer, David Crandall, Yong‐Yeol Ahn et al.*42 citations*
87. **[Hybrid hierarchical learning for solving complex sequential tasks using the robotic manipulation network ROMAN ↗](https://doi.org/10.1038/s42256-023-00709-2)**Eleftherios Triantafyllidis, Fernando Acero, Zhaocheng Liu et al.*42 citations*
88. **[A deep neural network for real-time optoacoustic image reconstruction with adjustable speed of sound ↗](https://doi.org/10.1038/s42256-023-00724-3)**Christoph Dehner, Guillaume Zahnd, Vasilis Ntziachristos et al.*41 citations*
89. **[A temporally resolved DNA framework state machine in living cells ↗](https://doi.org/10.1038/s42256-023-00707-4)**Yan Zhao, Shuting Cao, Yue Wang et al.*41 citations*
90. **[Mitigating the missing-fragmentation problem in de novo peptide sequencing with a two-stage graph-based deep learning model ↗](https://doi.org/10.1038/s42256-023-00738-x)**Zeping Mao, Ruixue Zhang, Lei Xin et al.*41 citations*
91. **[Design of prime-editing guide RNAs with deep transfer learning ↗](https://doi.org/10.1038/s42256-023-00739-w)**Feng Liu, Shuhong Huang, Jiongsong Hu et al.*36 citations*
92. **[A statistical mechanics framework for Bayesian deep neural networks beyond the infinite-width limit ↗](https://doi.org/10.1038/s42256-023-00767-6)**R. Pacelli, Sebastiano Ariosto, Mauro Pastore et al.*35 citations*
93. **[Estimating treatment effects for time-to-treatment antibiotic stewardship in sepsis ↗](https://doi.org/10.1038/s42256-023-00638-0)**Ruoqi Liu, Katherine M. Hunold, Jeffrey M. Caterino et al.*35 citations*
94. **[Recurrent graph optimal transport for learning 3D flow motion in particle tracking ↗](https://doi.org/10.1038/s42256-023-00648-y)**Jiaming Liang, Chao Xu, Shengze Cai*35 citations*
95. **[Self-supervised deep learning for tracking degradation of perovskite light-emitting diodes with multispectral imaging ↗](https://doi.org/10.1038/s42256-023-00736-z)**Kangyu Ji, Weizhe Lin, Yuqi Sun et al.*35 citations*
96. **[A social path to human-like artificial intelligence ↗](https://doi.org/10.1038/s42256-023-00754-x)**Edgar A. Duéñez‐Guzmán, Suzanne Sadedin, Jane X. Wang et al.*33 citations*
97. **[Hypergraph factorization for multi-tissue gene expression imputation ↗](https://doi.org/10.1038/s42256-023-00684-8)**Ramón Viñas, Chaitanya K. Joshi, Dobrik Georgiev et al.*33 citations*
98. **[Protein–protein contact prediction by geometric triangle-aware protein language models ↗](https://doi.org/10.1038/s42256-023-00741-2)**Peicong Lin, Huanyu Tao, Hao Li et al.*33 citations*
99. **[Don’t pause giant AI for the wrong reasons ↗](https://doi.org/10.1038/s42256-023-00649-x)**Marcello Ienca*32 citations*
100. **[Application of variational graph encoders as an effective generalist algorithm in computer-aided drug design ↗](https://doi.org/10.1038/s42256-023-00683-9)**Hilbert Yuen In Lam, Robbe Pincket, Hao Han et al.*31 citations*

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