Artificial Intelligence

Papers filed under cs.AI on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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5,941 to 6,000 of 15,342

Self-Consuming Generative Models Go MAD
Sina Alemohammad, Josue Casco-Rodriguez, Lorenzo Luzi +5
cs.LGcs.AIcs.CVarXiv:2307.01850v12023
Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy
Clare McGenity, Emily L Clarke, Charlotte Jennings +5
physics.med-phcs.AIcs.CVarXiv:2306.07999v32023
ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model
Hanyao Huang, Ou Zheng, Dongdong Wang +8
cs.CLcs.AIarXiv:2304.03086v22023
Knowledge Graphs: Opportunities and Challenges
Ciyuan Peng, Feng Xia, Mehdi Naseriparsa +1
cs.AIarXiv:2303.13948v12023
Almanac: Retrieval-Augmented Language Models for Clinical Medicine
Cyril Zakka, Akash Chaurasia, Rohan Shad +11
cs.CLcs.AIarXiv:2303.01229v22023
Remote patient monitoring using artificial intelligence: Current state, applications, and challenges
Thanveer Shaik, Xiaohui Tao, Niall Higgins +4
cs.CYcs.AIarXiv:2301.10009v12023
Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research
AKM Bahalul Haque, A. K. M. Najmul Islam, Patrick Mikalef
cs.AIcs.LGarXiv:2211.15343v12022
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation
Narek Tumanyan, Michal Geyer, Shai Bagon +1
cs.CVcs.AIarXiv:2211.12572v12022
BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining
Renqian Luo, Liai Sun, Yingce Xia +4
cs.CLcs.AIarXiv:2210.10341v32022
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao, Jeffrey Zhao, Dian Yu +4
cs.CLcs.AIcs.LGarXiv:2210.03629v32022
Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models
Zhipeng Chen, Xiaobo Qin, Youbin Wu +4
cs.LGcs.AIcs.CLarXiv:2508.10751v12025
Diffusion Models: A Comprehensive Survey of Methods and Applications
Ling Yang, Zhilong Zhang, Yang Song +6
cs.LGcs.AIcs.CVarXiv:2209.00796v152022
A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies
Adam Thelen, Xiaoge Zhang, Olga Fink +7
cs.CEcs.AIcs.LGarXiv:2208.14197v22022
State of the Art on Diffusion Models for Visual Computing
Ryan Po, Wang Yifan, Vladislav Golyanik +15
cs.AIcs.CVcs.GRarXiv:2310.07204v12023
Streaming 4D Visual Geometry Transformer
Dong Zhuo, Wenzhao Zheng, Jiahe Guo +3
cs.CVcs.AIcs.LGarXiv:2507.11539v22025
Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs
Jan Betley, Daniel Tan, Niels Warncke +5
cs.CLcs.AIcs.CRarXiv:2502.17424v72025
Diffusion-Based Planning for Autonomous Driving with Flexible Guidance
Yinan Zheng, Ruiming Liang, Kexin Zheng +8
cs.ROcs.AIcs.LGarXiv:2501.15564v22025
DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving
Yingyan Li, Shuyao Shang, Weisong Liu +10
cs.CVcs.AIarXiv:2510.12796v22025
VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning
Guanxing Lu, Wenkai Guo, Chubin Zhang +5
cs.ROcs.AIarXiv:2505.18719v12025
Latent-Space No-Arbitrage Geometry of Generative Models for Implied Volatility Surfaces
Jing Wang, Shuaiqiang Liu, Cornelis Vuik
q-fin.CPcs.AIcs.LGarXiv:2609.00332v12026
Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs
Yi-Lun Liao, Tess Smidt
cs.LGcs.AIphysics.comp-pharXiv:2206.11990v22022
GLIPv2: Unifying Localization and Vision-Language Understanding
Haotian Zhang, Pengchuan Zhang, Xiaowei Hu +7
cs.CVcs.AIcs.CLarXiv:2206.05836v22022
Optimizing Quantum Error Correction Codes with Reinforcement Learning
Hendrik Poulsen Nautrup, Nicolas Delfosse, Vedran Dunjko +2
quant-phcs.AIcs.LGarXiv:1812.08451v52018
MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs
Jiarui Zhang, Mahyar Khayatkhoei, Prateek Chhikara +1
cs.CVcs.AIcs.CLarXiv:2502.17422v12025
ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
Chi-Pin Huang, Yueh-Hua Wu, Min-Hung Chen +2
cs.CVcs.AIcs.LGarXiv:2507.16815v22025
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
Tian Xie, Zitian Gao, Qingnan Ren +7
cs.CLcs.AIarXiv:2502.14768v12025
Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review
Can Cui, Haichun Yang, Yaohong Wang +6
cs.LGcs.AIcs.CVarXiv:2203.15588v32022
FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction
Liang Gao, Huazhu Fu, Li Li +3
cs.LGcs.AIarXiv:2203.11751v12022
Integrated multimodal artificial intelligence framework for healthcare applications
Luis R. Soenksen, Yu Ma, Cynthia Zeng +7
cs.LGcs.AIcs.CYarXiv:2202.12998v42022
It's Raw! Audio Generation with State-Space Models
Karan Goel, Albert Gu, Chris Donahue +1
cs.SDcs.AIcs.LGarXiv:2202.09729v12022
Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next
Salvatore Cuomo, Vincenzo Schiano di Cola, Fabio Giampaolo +3
cs.LGcs.AImath.NAarXiv:2201.05624v42022
ARC-AGI-2: A New Challenge for Frontier AI Reasoning Systems
Francois Chollet, Mike Knoop, Gregory Kamradt +2
cs.AIarXiv:2505.11831v22025
AlphaStar: An Evolutionary Computation Perspective
Kai Arulkumaran, Antoine Cully, Julian Togelius
cs.NEcs.AIcs.LGarXiv:1902.01724v32019
Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions
Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao +1
cs.AIcs.CYarXiv:2112.11561v52021
mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs
Jonas Pai, Liam Achenbach, Victoriano Montesinos +3
cs.ROcs.AIcs.CVarXiv:2512.15692v22025
Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents
Saaket Agashe, Kyle Wong, Vincent Tu +3
cs.AIcs.CLcs.CVarXiv:2504.00906v12025
Sustainable AI: Environmental Implications, Challenges and Opportunities
Carole-Jean Wu, Ramya Raghavendra, Udit Gupta +22
cs.LGcs.AIcs.ARarXiv:2111.00364v22021
The Principles of Deep Learning Theory
Daniel A. Roberts, Sho Yaida, Boris Hanin
cs.LGcs.AIhep-tharXiv:2106.10165v22021
LoRA: Low-Rank Adaptation of Large Language Models
Edward J. Hu, Yelong Shen, Phillip Wallis +5
cs.CLcs.AIcs.LGarXiv:2106.09685v22021
Bellman-consistent Pessimism for Offline Reinforcement Learning
Tengyang Xie, Ching-An Cheng, Nan Jiang +2
cs.LGcs.AIstat.MLarXiv:2106.06926v62021
A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts
Gesina Schwalbe, Bettina Finzel
cs.LGcs.AIarXiv:2105.07190v42021
Hybrid Intelligence
Dominik Dellermann, Philipp Ebel, Matthias Soellner +1
cs.AIcs.HCcs.MAarXiv:2105.00691v12021
Machine learning and deep learning
Christian Janiesch, Patrick Zschech, Kai Heinrich
cs.AIarXiv:2104.05314v22021
Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism
Paria Rashidinejad, Banghua Zhu, Cong Ma +2
cs.LGcs.AImath.OCarXiv:2103.12021v22021
Understanding self-supervised Learning Dynamics without Contrastive Pairs
Yuandong Tian, Xinlei Chen, Surya Ganguli
cs.LGcs.AIcs.CVarXiv:2102.06810v42021
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach
Ke Zhang, Meng Li, Zhengchao Zhang +2
cs.AIarXiv:2002.05513v22020
Noisy intermediate-scale quantum (NISQ) algorithms
Kishor Bharti, Alba Cervera-Lierta, Thi Ha Kyaw +11
quant-phcond-mat.stat-mechcs.AIarXiv:2101.08448v22021
No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence
Chaozheng Wang, Yuanhang Yang, Cuiyun Gao +3
cs.SEcs.AIarXiv:2207.11680v12022
Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets
Chuning Zhu, Raymond Yu, Siyuan Feng +3
cs.ROcs.AIcs.LGarXiv:2504.02792v32025
Transformers without Normalization
Jiachen Zhu, Xinlei Chen, Kaiming He +2
cs.LGcs.AIcs.CLarXiv:2503.10622v22025
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity
William Fedus, Barret Zoph, Noam Shazeer
cs.LGcs.AIarXiv:2101.03961v32021
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer
Zhiwei Liu, Ziwei Fan, Yu Wang +1
cs.IRcs.AIarXiv:2105.00522v12021
Logic Tensor Networks
Samy Badreddine, Artur d'Avila Garcez, Luciano Serafini +1
cs.AIcs.LGarXiv:2012.13635v42020
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou, Shanghang Zhang, Jieqi Peng +4
cs.LGcs.AIcs.IRarXiv:2012.07436v32020
SinkPruner: Sink-Free Visual Token Pruning for Multimodal Large Language Models
Shiyu Li, Zi-Yuan Hu, Shijia Huang +3
cs.CVcs.AIcs.CLarXiv:2609.01004v12026
Scalable Rao-Blackwellized Online Planning for High-Dimensional POMDPs
Jiho Lee, Nisar Ahmed, Kyle Hollins Wray +1
cs.ROcs.AIarXiv:2609.01351v12026
Athena: Vulnerability-Affected Library Identification via Knowledge Graph Completion
Phong Trinh Duy, Trang Dang Yen, Hung Nguyen-Huu +5
cs.SEcs.AIcs.CRarXiv:2609.01187v12026
On the Human and Computer Alignment of Attribute-Based Music Matches
Roser Batlle-Roca, Woosung Choi, Joan Serrà +5
cs.SDcs.AIarXiv:2609.00987v12026
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
Jing Zhang, Dacheng Tao
cs.AIcs.CVcs.LGarXiv:2011.08612v12020
Domain-specific Knowledge Graphs: A survey
Bilal Abu-Salih
cs.DBcs.AIarXiv:2011.00235v32020

Artificial Intelligence

Self-Consuming Generative Models Go MAD

Artificial intelligence in digital pathology: a systematic review and meta-analysis of diagnostic test accuracy

ChatGPT for Shaping the Future of Dentistry: The Potential of Multi-Modal Large Language Model

Knowledge Graphs: Opportunities and Challenges

Almanac: Retrieval-Augmented Language Models for Clinical Medicine

Remote patient monitoring using artificial intelligence: Current state, applications, and challenges

Explainable Artificial Intelligence (XAI) from a user perspective- A synthesis of prior literature and problematizing avenues for future research

Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation

BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining

ReAct: Synergizing Reasoning and Acting in Language Models

Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models

Diffusion Models: A Comprehensive Survey of Methods and Applications

A Comprehensive Review of Digital Twin -- Part 1: Modeling and Twinning Enabling Technologies

State of the Art on Diffusion Models for Visual Computing

Streaming 4D Visual Geometry Transformer

Emergent Misalignment: Narrow finetuning can produce broadly misaligned LLMs

Diffusion-Based Planning for Autonomous Driving with Flexible Guidance

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving

VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning

Latent-Space No-Arbitrage Geometry of Generative Models for Implied Volatility Surfaces

Equiformer: Equivariant Graph Attention Transformer for 3D Atomistic Graphs

GLIPv2: Unifying Localization and Vision-Language Understanding

Optimizing Quantum Error Correction Codes with Reinforcement Learning

MLLMs Know Where to Look: Training-free Perception of Small Visual Details with Multimodal LLMs

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning

Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning

Deep Multi-modal Fusion of Image and Non-image Data in Disease Diagnosis and Prognosis: A Review

FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction

Integrated multimodal artificial intelligence framework for healthcare applications

It's Raw! Audio Generation with State-Space Models

Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next

ARC-AGI-2: A New Challenge for Frontier AI Reasoning Systems

AlphaStar: An Evolutionary Computation Perspective

Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions

mimic-video: Video-Action Models for Generalizable Robot Control Beyond VLAs

Agent S2: A Compositional Generalist-Specialist Framework for Computer Use Agents

Sustainable AI: Environmental Implications, Challenges and Opportunities

The Principles of Deep Learning Theory

LoRA: Low-Rank Adaptation of Large Language Models

Bellman-consistent Pessimism for Offline Reinforcement Learning

A Comprehensive Taxonomy for Explainable Artificial Intelligence: A Systematic Survey of Surveys on Methods and Concepts

Hybrid Intelligence

Machine learning and deep learning

Bridging Offline Reinforcement Learning and Imitation Learning: A Tale of Pessimism

Understanding self-supervised Learning Dynamics without Contrastive Pairs

Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach

Noisy intermediate-scale quantum (NISQ) algorithms

No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence

Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets

Transformers without Normalization

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer

Logic Tensor Networks

Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting

SinkPruner: Sink-Free Visual Token Pruning for Multimodal Large Language Models

Scalable Rao-Blackwellized Online Planning for High-Dimensional POMDPs

Athena: Vulnerability-Affected Library Identification via Knowledge Graph Completion

On the Human and Computer Alignment of Attribute-Based Music Matches

Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

Domain-specific Knowledge Graphs: A survey