key,openalex_id,doi_or_arxiv,verified_via,verified_title,corpus_title,match,entry_type
bick2026rapidadoption,7124974472,doi:10.1287/mnsc.2025.02523,crossref,The Rapid Adoption of Generative AI,The Rapid Adoption of Generative AI,yes,journal-article
kasneci2023chatgptgood,4323655724,doi:10.1016/j.lindif.2023.102274,crossref,ChatGPT for good? On opportunities and challenges of large language models for education,ChatGPT for good? On opportunities and challenges of large language models for education,yes,journal-article
wang2019superglue,2990704537,arxiv:1905.00537,arxiv,SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems,SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems,yes,arxiv
han2024peftsurvey,4393138529,arxiv:2403.14608,arxiv,Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey,Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey,yes,arxiv
bodnar2025aurora,4410551352,doi:10.1038/s41586-025-09005-y,crossref,A foundation model for the Earth system,A foundation model for the Earth system,yes,journal-article
chen2024uni,4392947521,doi:10.1038/s41591-024-02857-3,crossref,Towards a general-purpose foundation model for computational pathology,Towards a general-purpose foundation model for computational pathology,yes,journal-article
wang2024chief,4402220065,doi:10.1038/s41586-024-07894-z,crossref,A pathology foundation model for cancer diagnosis and prognosis prediction,A pathology foundation model for cancer diagnosis and prognosis prediction,yes,journal-article
zhang2024biomedgpt,4401397240,doi:10.1038/s41591-024-03185-2,crossref,A generalist vision--language foundation model for diverse biomedical tasks,A generalist vision--language foundation model for diverse biomedical tasks,yes,journal-article
binz2025centaur,4411932262,doi:10.1038/s41586-025-09215-4,crossref,A foundation model to predict and capture human cognition,A foundation model to predict and capture human cognition,yes,journal-article
dai2023instructblip,7133220561,arxiv:2305.06500,arxiv,InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning,InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning,yes,arxiv
schuhmann2022laion5b,7133250524,arxiv:2210.08402,arxiv,LAION-5B: An open large-scale dataset for training next generation image-text models,LAION-5B: An Open Large-Scale Dataset for Training Next Generation Image-Text Models,yes,arxiv
su2019vlbert,2995460200,arxiv:1908.08530,arxiv,VL-BERT: Pre-training of Generic Visual-Linguistic Representations,VL-BERT: Pre-training of Generic Visual-Linguistic Representations,yes,arxiv
mou2024t2iadapter,4393148714,doi:10.1609/aaai.v38i5.28226,crossref,T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models,T2I-Adapter: Learning Adapters to Dig Out More Controllable Ability for Text-to-Image Diffusion Models,yes,journal-article
gal2022textualinversion,4289785095,arxiv:2208.01618,arxiv,An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion,An Image is Worth One Word: Personalizing Text-to-Image Generation using Textual Inversion,yes,arxiv
buckley2026textexploit,7164501397,doi:10.1038/s41467-026-74207-5,crossref,Multimodal foundation models exploit text to make medical image predictions,Multimodal foundation models exploit text to make medical image predictions,yes,journal-article
zhang2026lowqualityfusion,4396599905,doi:10.1016/j.inffus.2026.104437,crossref,Multimodal fusion on low-quality data: A comprehensive survey,Multimodal fusion on low-quality data: A comprehensive survey,yes,journal-article
ho2022cfg,4288099666,arxiv:2207.12598,arxiv,Classifier-Free Diffusion Guidance,Classifier-Free Diffusion Guidance,yes,arxiv
zeni2025mattergen,4406472463,doi:10.1038/s41586-025-08628-5,crossref,A generative model for inorganic materials design,A generative model for inorganic materials design,yes,journal-article
bastani2024harmlearning,4400770292,doi:10.2139/ssrn.4895486,crossref,Generative AI Can Harm Learning,Generative AI Can Harm Learning,yes,posted-content
acharya2025agenticsurvey,4406728221,doi:10.1109/access.2025.3532853,crossref,Agentic AI: Autonomous Intelligence for Complex Goals---A Comprehensive Survey,Agentic AI: Autonomous Intelligence for Complex Goals---A Comprehensive Survey,yes,journal-article
ghareeb2026robin,7161734976,doi:10.1038/s41586-026-10652-y,crossref,A multi-agent system for automating scientific discovery,A multi-agent system for automating scientific discovery,yes,journal-article
swanson2025virtuallab,4412709685,doi:10.1038/s41586-025-09442-9,crossref,The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies,The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies,yes,journal-article
piao2026agentsociety,4407570917,doi:10.26599/if.2026.9710004,crossref,AgentSociety: Large-scale simulation of LLM-driven generative agents advances understanding of human behaviors and society,AgentSociety: Large-scale simulation of LLM-driven generative agents advances understanding of human behaviors and society,yes,journal-article
sapkota2026agentsvsagentic,4413427262,doi:10.1016/j.inffus.2025.103599,crossref,"AI Agents vs. Agentic AI: A Conceptual taxonomy, applications and challenges","AI Agents vs. Agentic AI: A Conceptual taxonomy, applications and challenges",yes,journal-article
zhang2025agentmemory,4412203333,doi:10.1145/3748302,crossref,A Survey on the Memory Mechanism of Large Language Model-based Agents,A Survey on the Memory Mechanism of Large Language Model-based Agents,yes,journal-article
liu2026clinicalagents,7130481397,doi:10.1038/s41746-026-02443-6,crossref,Benchmarking large language model-based agent systems for clinical decision tasks,Benchmarking large language model-based agent systems for clinical decision tasks,yes,journal-article
haarnoja2018sac,2781726626,arxiv:1801.01290,arxiv,Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor,Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor,yes,arxiv
fujimoto2018td3,2963923407,arxiv:1802.09477,arxiv,Addressing Function Approximation Error in Actor-Critic Methods,Addressing Function Approximation Error in Actor-Critic Methods,yes,arxiv
vinyals2019alphastar,2982316857,doi:10.1038/s41586-019-1724-z,crossref,Grandmaster level in StarCraft II using multi-agent reinforcement learning,Grandmaster level in StarCraft II using multi-agent reinforcement learning,yes,journal-article
hessel2018rainbow,2761873684,doi:10.1609/aaai.v32i1.11796,crossref,Rainbow: Combining Improvements in Deep Reinforcement Learning,Rainbow: Combining Improvements in Deep Reinforcement Learning,yes,journal-article
yu2021mappo,7133226216,arxiv:2103.01955,arxiv,"The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games",The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games,yes,arxiv
hafner2025dreamerv3,4409147637,doi:10.1038/s41586-025-08744-2,crossref,Mastering diverse control tasks through world models,Mastering diverse control tasks through world models,yes,journal-article
burda2018curiosity,2964083594,arxiv:1808.04355,arxiv,Large-Scale Study of Curiosity-Driven Learning,Large-Scale Study of Curiosity-Driven Learning,yes,arxiv
zhang2021marloverview,2991046523,doi:10.1007/978-3-030-60990-0_12,crossref,Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms,Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms,yes,book-chapter
rudin2019stopexplaining,2945976633,doi:10.1038/s42256-019-0048-x,crossref,Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead,Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead,yes,journal-article
lipton2018mythos,2439568532,doi:10.1145/3233231,crossref,The mythos of model interpretability,The Mythos of Model Interpretability,yes,journal-article
lundberg2020treeexplainer,2999615587,doi:10.1038/s42256-019-0138-9,crossref,From local explanations to global understanding with explainable AI for trees,From local explanations to global understanding with explainable AI for trees,yes,journal-article
chicco2020mcc,2999309192,doi:10.1186/s12864-019-6413-7,crossref,The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation,The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation,yes,journal-article
zhuang2021transfersurvey,3041133507,doi:10.1109/jproc.2020.3004555,crossref,A Comprehensive Survey on Transfer Learning,A Comprehensive Survey on Transfer Learning,yes,journal-article
bottou2018optimization,2436219157,doi:10.1137/16m1080173,crossref,Optimization Methods for Large-Scale Machine Learning,Optimization Methods for Large-Scale Machine Learning,yes,journal-article
zeng2023transformerstsf,4382203079,doi:10.1609/aaai.v37i9.26317,crossref,Are Transformers Effective for Time Series Forecasting?,Are Transformers Effective for Time Series Forecasting?,yes,journal-article
zhou2021informer,3177318507,doi:10.1609/aaai.v35i12.17325,crossref,Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting,Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting,yes,journal-article
wen2023tstransformers,4385763767,doi:10.24963/ijcai.2023/759,crossref,Transformers in Time Series: A Survey,Transformers in Time Series: A Survey,yes,proceedings-article
hollmann2025tabpfn,4406170795,doi:10.1038/s41586-024-08328-6,crossref,Accurate predictions on small data with a tabular foundation model,Accurate predictions on small data with a tabular foundation model,yes,journal-article
liu2024kan,4396821501,arxiv:2404.19756,arxiv,KAN: Kolmogorov-Arnold Networks,KAN: Kolmogorov-Arnold Networks,yes,arxiv
wu2021gnnsurvey,2907492528,doi:10.1109/tnnls.2020.2978386,crossref,A Comprehensive Survey on Graph Neural Networks,A Comprehensive Survey on Graph Neural Networks,yes,journal-article
zhou2020gnnreview,3152893301,doi:10.1016/j.aiopen.2021.01.001,crossref,Graph neural networks: A review of methods and applications,Graph neural networks: A review of methods and applications,yes,journal-article
zhang2017mixup,2963399829,arxiv:1710.09412,arxiv,mixup: Beyond Empirical Risk Minimization,Mixup: Beyond empirical risk minimization,yes,arxiv
barredoarrieta2020xai,2981731882,doi:10.1016/j.inffus.2019.12.012,crossref,"Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI","Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI",yes,journal-article
mehrabi2021biasfairness,2969896603,doi:10.1145/3457607,crossref,A Survey on Bias and Fairness in Machine Learning,A Survey on Bias and Fairness in Machine Learning,yes,journal-article
miller2019explanation,2670253439,doi:10.1016/j.artint.2018.07.007,crossref,Explanation in artificial intelligence: Insights from the social sciences,Explanation in artificial intelligence: Insights from the social sciences,yes,journal-article
ali2023xaitrust,4366262984,doi:10.1016/j.inffus.2023.101805,crossref,Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence,Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence,yes,journal-article
slattery2026riskrepository,4402698709,doi:10.1016/j.patter.2026.101517,crossref,"The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence","The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence",yes,journal-article
chao2025pair,4410609100,doi:10.1109/satml64287.2025.00010,crossref,Jailbreaking Black Box Large Language Models in Twenty Queries,Jailbreaking Black Box Large Language Models in Twenty Queries,yes,proceedings-article
alber2025poisoning,4406152291,doi:10.1038/s41591-024-03445-1,crossref,Medical large language models are vulnerable to data-poisoning attacks,Medical large language models are vulnerable to data-poisoning attacks,yes,journal-article
draelos2026unsafeanswers,7128782475,doi:10.1038/s41746-026-02428-5,crossref,Large language models provide unsafe answers to patient-posed medical questions,Large language models provide unsafe answers to patient-posed medical questions,yes,journal-article
moore2025stigma,4411542009,doi:10.1145/3715275.3732039,crossref,Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers.,Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers.,yes,proceedings-article
papagiannidis2025raigovernance,4406063062,doi:10.1016/j.jsis.2024.101885,crossref,Responsible artificial intelligence governance: A review and research framework,Responsible artificial intelligence governance: A review and research framework,yes,journal-article
mcdonald2025hepolicies,4406571986,doi:10.1016/j.chbah.2025.100121,crossref,Generative artificial intelligence in higher education: Evidence from an analysis of institutional policies and guidelines,Generative artificial intelligence in higher education: Evidence from an analysis of institutional policies and guidelines,yes,journal-article
lo2023rapidreview,4366420437,doi:10.3390/educsci13040410,crossref,What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature,What Is the Impact of ChatGPT on Education? A Rapid Review of the Literature,yes,journal-article
chan2023students,4384464487,doi:10.1186/s41239-023-00411-8,crossref,"Students' voices on generative AI: perceptions, benefits, and challenges in higher education","Students' voices on generative AI: perceptions, benefits, and challenges in higher education",yes,journal-article
chan2023policyframework,4383312437,doi:10.1186/s41239-023-00408-3,crossref,A comprehensive AI policy education framework for university teaching and learning,A comprehensive AI policy education framework for university teaching and learning,yes,journal-article
baidooanu2023chatgptedu,4389437528,doi:10.61969/jai.1337500,crossref,Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning,Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning,yes,journal-article
rudolph2023assessment,4317910584,doi:10.37074/jalt.2023.6.1.9,crossref+openalex,ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?,ChatGPT: Bullshit spewer or the end of traditional assessments in higher education?,yes,journal-article
lim2023ragnarok,4322617812,doi:10.1016/j.ijme.2023.100790,crossref,Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators,Generative AI and the future of education: Ragnarök or reformation? A paradoxical perspective from management educators,yes,journal-article
wu2025radfm,4413447271,doi:10.1038/s41467-025-62385-7,crossref,Towards generalist foundation model for radiology by leveraging web-scale 2D\&3D medical data,Towards generalist foundation model for radiology by leveraging web-scale 2D\&3D medical data,yes,journal-article
ding2025titan,4415913530,doi:10.1038/s41591-025-03982-3,crossref,A multimodal whole-slide foundation model for pathology,A multimodal whole-slide foundation model for pathology,yes,journal-article
lu2024conch,4392947532,doi:10.1038/s41591-024-02856-4,crossref,A visual-language foundation model for computational pathology,A visual-language foundation model for computational pathology,yes,journal-article
huang2023plip,4385948838,doi:10.1038/s41591-023-02504-3,crossref,A visual--language foundation model for pathology image analysis using medical Twitter,A visual--language foundation model for pathology image analysis using medical Twitter,yes,journal-article
yan2025panderm,4411099958,doi:10.1038/s41591-025-03747-y,crossref,A multimodal vision foundation model for clinical dermatology,A multimodal vision foundation model for clinical dermatology,yes,journal-article
tak2026brainiac,7128029160,doi:10.1038/s41593-026-02202-6,crossref,A generalizable foundation model for analysis of human brain MRI,A generalizable foundation model for analysis of human brain MRI,yes,journal-article
zhu2026earthfm,7119541039,doi:10.1038/s43247-025-03127-x,crossref,On the foundations of Earth foundation models,On the foundations of Earth foundation models,yes,journal-article
singhal2023clinical,4384071683,doi:10.1038/s41586-023-06291-2,crossref,Large language models encode clinical knowledge,Large language models encode clinical knowledge,yes,journal-article
liu2023prompting,3185341429,doi:10.1145/3560815,crossref,"Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing","Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing",yes,journal-article
vandis2023priorities,4319083882,doi:10.1038/d41586-023-00288-7,crossref,ChatGPT: five priorities for research,ChatGPT: five priorities for research,yes,journal-article
cheng2026agentsdefinitions,4390730779,doi:10.1002/widm.70111,crossref,"Exploring Large Language Model-Based Intelligent Agents: Definitions, Methods, and Prospects","Exploring Large Language Model-Based Intelligent Agents: Definitions, Methods, and Prospects",yes,journal-article
raza2026trism,7133236347,doi:10.1016/j.aiopen.2026.02.006,crossref,"TRiSM for Agentic AI: A review of Trust, Risk, and Security Management in LLM-based Agentic Multi-Agent Systems","TRiSM for Agentic AI: A review of Trust, Risk, and Security Management in LLM-based Agentic Multi-Agent Systems",yes,journal-article
paschali2025fmradiology,4407135816,doi:10.1148/radiol.240597,crossref,"Foundation Models in Radiology: What, How, Why, and Why Not","Foundation Models in Radiology: What, How, Why, and Why Not",yes,journal-article
zhang2026datacentric,4390690043,doi:10.1145/3800677,crossref,Data-Centric Foundation Models in Computational Healthcare: A Survey,Data-Centric Foundation Models in Computational Healthcare: A Survey,yes,journal-article
zheng2025learningfrommodels,4406472599,doi:10.1038/s42256-024-00961-0,crossref,Learning from models beyond fine-tuning,Learning from models beyond fine-tuning,yes,journal-article
schouten2025multimodalmedicine,4410882873,doi:10.1016/j.media.2025.103621,crossref,Navigating the landscape of multimodal AI in medicine: A scoping review on technical challenges and clinical applications,Navigating the landscape of multimodal AI in medicine: A scoping review on technical challenges and clinical applications,yes,journal-article
zhai2024overreliance,4399790131,doi:10.1186/s40561-024-00316-7,crossref,The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review,The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review,yes,journal-article
xia2024assessmentreview,4398243313,doi:10.1186/s41239-024-00468-z,crossref,A scoping review on how generative artificial intelligence transforms assessment in higher education,A scoping review on how generative artificial intelligence transforms assessment in higher education,yes,journal-article
bittle2025integrity,4409269614,doi:10.3390/info16040296,crossref,Generative AI and Academic Integrity in Higher Education: A Systematic Review and Research Agenda,Generative AI and Academic Integrity in Higher Education: A Systematic Review and Research Agenda,yes,journal-article
jin2023timellm,4387355843,arxiv:2310.01728,arxiv,Time-LLM: Time Series Forecasting by Reprogramming Large Language Models,TimeLLM: Time Series Forecasting by Reprogramming Large Language Models,yes,arxiv
liu2024timesurl,4393153153,doi:10.1609/aaai.v38i12.29299,crossref,TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning,TimesURL: Self-Supervised Contrastive Learning for Universal Time Series Representation Learning,yes,journal-article
ye2024mplugowl2,4402727669,doi:10.1109/cvpr52733.2024.01239,crossref,mPLUG-OwI2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration,mPLUG-OwI2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration,yes,proceedings-article
wang2025gpt5medical,7148475777,arxiv:2508.08224,arxiv,Capabilities of GPT-5 on Multimodal Medical Reasoning,Capabilities of GPT-5 on multimodal medical reasoning,yes,arxiv
lai2026medr1,7127319731,doi:10.1109/tmi.2026.3661001,crossref,Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models,Med-R1: Reinforcement Learning for Generalizable Medical Reasoning in Vision-Language Models,yes,journal-article
zhang2026dive,4414991289,doi:10.1039/d5sc09921h,crossref,``DIVE'' into hydrogen storage materials discovery with AI agents,``DIVE'' into hydrogen storage materials discovery with AI agents,yes,journal-article
bandi2025agenticreview,4414023998,doi:10.3390/fi17090404,crossref,"The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges","The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges",yes,journal-article
abouali2025agenticparadigms,4416209823,doi:10.1007/s10462-025-11422-4,crossref,"Agentic AI: a comprehensive survey of architectures, applications, and future directions","Agentic AI: a comprehensive survey of architectures, applications, and future directions",yes,journal-article
allmendinger2026multiagentai,7128165235,doi:10.1007/s12525-025-00862-z,crossref,Multi-agent AI,Multi-agent AI,yes,journal-article
hasanzadeh2025biashealthcare,4408314709,doi:10.1038/s41746-025-01503-7,crossref,Bias recognition and mitigation strategies in artificial intelligence healthcare applications,Bias recognition and mitigation strategies in artificial intelligence healthcare applications,yes,journal-article
wang2026pedagogical,7140170686,doi:10.1186/s41239-026-00585-x,crossref,Pedagogical partnerships with generative AI in higher education: how dual cognitive pathways paradoxically enable transformative learning,Pedagogical partnerships with generative AI in higher education: how dual cognitive pathways paradoxically enable transformative learning,yes,journal-article
collaco2026agentichealthcare,7135409568,doi:10.1038/s41746-026-02517-5,crossref,The role of agentic artificial intelligence in healthcare: a scoping review,The role of agentic artificial intelligence in healthcare: a scoping review,yes,journal-article
gholami2022quantization,3137147200,doi:10.1201/9781003162810-13,crossref,A Survey of Quantization Methods for Efficient Neural Network Inference,A Survey of Quantization Methods for Efficient Neural Network Inference,yes,book-chapter
zhang2023llamaadapter,4361229539,arxiv:2303.16199,arxiv,LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention,LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention,yes,arxiv