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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5,521 to 5,580 of 15,403

Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review
Yujiao Hu, Qingmin Jia, Yuao Yao +6
cs.AIcs.CYarXiv:2312.16174v22023
TTCS: Test-Time Curriculum Synthesis for Self-Evolving
Chengyi Yang, Zhishang Xiang, Yunbo Tang +5
cs.LGcs.AIcs.CLarXiv:2601.22628v12026
REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards
Zafir Stojanovski, Oliver Stanley, Joe Sharratt +4
cs.LGcs.AIcs.CLarXiv:2505.24760v22025
A Mechanistic View on Video Generation as World Models: State and Dynamics
Luozhou Wang, Zhifei Chen, Yihua Du +11
cs.CVcs.AIarXiv:2601.17067v12026
Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge
Yao Tang, Li Dong, Yaru Hao +3
cs.CLcs.AIcs.LGarXiv:2601.08808v12026
Reinforcement Learning with Action Chunking
Qiyang Li, Zhiyuan Zhou, Sergey Levine
cs.LGcs.AIcs.ROarXiv:2507.07969v42025
VIBE: Visual Instruction Based Editor
Grigorii Alekseenko, Aleksandr Gordeev, Irina Tolstykh +7
cs.CVcs.AIcs.LGarXiv:2601.02242v12026
GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving
Lloyd Russell, Anthony Hu, Lorenzo Bertoni +4
cs.CVcs.AIcs.ROarXiv:2503.20523v12025
OmniRetarget: Interaction-Preserving Data Generation for Humanoid Whole-Body Loco-Manipulation and Scene Interaction
Lujie Yang, Xiaoyu Huang, Zhen Wu +6
cs.ROcs.AIcs.LGarXiv:2509.26633v32025
MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents
Kunlun Zhu, Hongyi Du, Zhaochen Hong +8
cs.MAcs.AIcs.CLarXiv:2503.01935v12025
Distributed Implicit Harm: A Compositional Safety Blind Spot in MLLM-Based Video Moderation
Ruotong Wang, Zihao Zhu, Siwei Lyu +2
cs.CVcs.AIarXiv:2609.00206v12026
Learning a visuomotor controller for real world robotic grasping using simulated depth images
Ulrich Viereck, Andreas ten Pas, Kate Saenko +1
cs.ROcs.AIarXiv:1706.04652v32017
PaliGemma: A versatile 3B VLM for transfer
Lucas Beyer, Andreas Steiner, André Susano Pinto +32
cs.CVcs.AIcs.CLarXiv:2407.07726v22024
ReFT: Representation Finetuning for Language Models
Zhengxuan Wu, Aryaman Arora, Zheng Wang +4
cs.CLcs.AIcs.LGarXiv:2404.03592v32024
V-STaR: Training Verifiers for Self-Taught Reasoners
Arian Hosseini, Xingdi Yuan, Nikolay Malkin +3
cs.LGcs.AIcs.CLarXiv:2402.06457v22024
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers
Staphord Bengesi, Hoda El-Sayed, Md Kamruzzaman Sarker +3
cs.LGcs.AIarXiv:2311.10242v22023
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting
Sercan O. Arik, Markus Kliegl, Rewon Child +5
cs.CLcs.AIcs.LGarXiv:1703.05390v32017
Large Language Models as Optimizers
Chengrun Yang, Xuezhi Wang, Yifeng Lu +4
cs.LGcs.AIcs.CLarXiv:2309.03409v32023
LIMR: Less is More for RL Scaling
Xuefeng Li, Haoyang Zou, Pengfei Liu
cs.LGcs.AIcs.CLarXiv:2502.11886v12025
A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions
Peng Yan, Ahmed Abdulkadir, Paul-Philipp Luley +4
cs.LGcs.AIarXiv:2307.05638v22023
Language is All a Graph Needs
Ruosong Ye, Caiqi Zhang, Runhui Wang +2
cs.CLcs.AIcs.IRarXiv:2308.07134v52023
Is Self-Repair a Silver Bullet for Code Generation?
Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang +2
cs.CLcs.AIcs.PLarXiv:2306.09896v52023
Can Language Models Solve Graph Problems in Natural Language?
Heng Wang, Shangbin Feng, Tianxing He +3
cs.CLcs.AIarXiv:2305.10037v32023
Open-vocabulary Queryable Scene Representations for Real World Planning
Boyuan Chen, Fei Xia, Brian Ichter +5
cs.ROcs.AIcs.CVarXiv:2209.09874v22022
Data Augmentation techniques in time series domain: A survey and taxonomy
Guillermo Iglesias, Edgar Talavera, Ángel González-Prieto +2
cs.LGcs.AIarXiv:2206.13508v42022
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
Xiaolei Wang, Kun Zhou, Ji-Rong Wen +1
cs.CLcs.AIcs.IRarXiv:2206.09363v12022
Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation
André M. Carrington, Douglas G. Manuel, Paul W. Fieguth +9
stat.MEcs.AIcs.LGarXiv:2103.11357v12021
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors
Jingliang Duan, Yang Guan, Shengbo Eben Li +2
cs.LGcs.AIeess.SYarXiv:2001.02811v32020
Attributed Graph Clustering via Adaptive Graph Convolution
Xiaotong Zhang, Han Liu, Qimai Li +1
cs.LGcs.AIstat.MLarXiv:1906.01210v12019
Adversarial Attack and Defense on Graph Data: A Survey
Lichao Sun, Yingtong Dou, Carl Yang +5
cs.CRcs.AIcs.SIarXiv:1812.10528v42018
Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty
Mehul Damani, Isha Puri, Stewart Slocum +4
cs.LGcs.AIcs.CLarXiv:2507.16806v22025
Flow: A Modular Learning Framework for Mixed Autonomy Traffic
Cathy Wu, Aboudy Kreidieh, Kanaad Parvate +2
cs.AIcs.ROeess.SYarXiv:1710.05465v42017
MedSAM2: Segment Anything in 3D Medical Images and Videos
Jun Ma, Zongxin Yang, Sumin Kim +6
eess.IVcs.AIcs.CVarXiv:2504.03600v12025
Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation
Junyan Ye, Dongzhi Jiang, Zihao Wang +9
cs.CVcs.AIcs.CLarXiv:2508.09987v12025
RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots
Soroush Nasiriany, Sepehr Nasiriany, Abhiram Maddukuri +1
cs.ROcs.AIcs.LGarXiv:2603.04356v12026
OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?
Yifei Li, Junbo Niu, Ziyang Miao +12
cs.CVcs.AIarXiv:2501.05510v22025
Subliminal Learning: Language models transmit behavioral traits via hidden signals in data
Alex Cloud, Minh Le, James Chua +5
cs.LGcs.AIarXiv:2507.14805v12025
Do generative video models understand physical principles?
Saman Motamed, Laura Culp, Kevin Swersky +2
cs.CVcs.AIcs.GRarXiv:2501.09038v32025
Safe Reinforcement Learning with Model Uncertainty Estimates
Björn Lütjens, Michael Everett, Jonathan P. How
cs.ROcs.AIcs.LGarXiv:1810.08700v22018
WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization
Zhengwei Tao, Jialong Wu, Wenbiao Yin +10
cs.CLcs.AIarXiv:2507.15061v12025
See What You Are Told: Visual Attention Sink in Large Multimodal Models
Seil Kang, Jinyeong Kim, Junhyeok Kim +1
cs.CVcs.AIarXiv:2503.03321v12025
NeoRed: A Knowledge-Logic-Alignment Multimodal Large Language Model for Neonatal Respiratory Disease Diagnosis
Yinan Liu, Hongtai Xia, Haoran Xu +3
cs.AIarXiv:2609.03527v12026
Summaries:한국어
Verify Before You Distill: Prompt-Level Teacher Gating for On-Policy Distillation
Zhiwei Zhang, Zechen Sun, Fei Zhao +6
cs.LGcs.AIcs.CLarXiv:2609.02998v12026
A Two-Stage Learning PINN Approach for Solving the Inverse Problem of the 1D Porous Medium Equation
Noura Al Helwani, Sophie Moufawad, Nabil Nassif
math.OCcs.AIarXiv:2608.16475v12026
Agentic Empirical Asset Pricing: Methodological Foundations
Yingjian Pan, Xiaowei Ding, Kay Giesecke
cs.AIcs.LGq-fin.STarXiv:2609.00731v12026
Summaries:한국어
Training Alignment Auditors via Reinforcement Learning
Paul Rosu, Rowan Wang
cs.AIcs.LGarXiv:2608.25460v12026
Functional compatibility as a determinant of persistent neural learning
Hossein Javidnia
cs.LGcs.AIarXiv:2608.22462v22026
EviDx: Evidence-Aware Active Diagnosis with Scaffolded LLM Agents
Lihang Zeng, Shaoting Zhang, Xiaofan Zhang
cs.AIarXiv:2608.24570v12026
Self-Evolving Curriculum for LLM Reasoning
Xiaoyin Chen, Jiarui Lu, Minsu Kim +6
cs.AIcs.LGarXiv:2505.14970v42025
The Empire, Long Divided, Must Unite: Architectural Convergence in Three LLM Agent Harnesses
Dai Jiahong
cs.SEcs.AIcs.CEarXiv:2608.23953v12026
Length-Adaptive Decoding for Masked Diffusion Machine Translation
Yan Zhan, Mengkai Hou, Wanting Zhang +1
cs.CLcs.AIcs.LGarXiv:2608.22274v12026
CRS-Bench: A Reference-Relative Reliability Benchmark for Medical Image Encoders
Xingtao Lin, Hangqi Ren, Caiwan Sun +1
eess.IVcs.AIcs.CVarXiv:2608.22059v12026
GuardianBench: A Same-Scene Instruction-Contrastive Benchmark for Latent Contextual Risk in Embodied AI
Zhesheng Zhang, Jiahao Lu, Wei Liu +8
cs.AIcs.CLcs.ROarXiv:2608.21928v12026
DreamBench-SWE: A Multi-Session Memory-Hygiene Benchmark for Software Agents
Sarthak Singh
cs.AIcs.SEarXiv:2608.20664v12026
FlavourBench: Ranking Frontier Language Models with Executable Culinary Ground Truth
Josef Chen, Erim Hayretci
cs.AIcs.CYcs.LGarXiv:2608.20574v12026
ReWEIGH the Evidence: Calibrating Token-Level Ordinal Visual Evidence to Mitigate Hallucinations in Large Vision-Language Models
Jihae Jeong, Junha Choi, Hwanjo Yu
cs.CVcs.AIcs.CLarXiv:2608.19075v12026
Denoising-Aware Inversion: Revealing Privacy Risks in Noise-Protected Text Embeddings
Yubo Wang, Shujie Cui, James Bailey +5
cs.LGcs.AIcs.CRarXiv:2608.18610v12026
Physics-Unrolled Neural Operator for Wireless Field Modeling
Rafid Umayer Murshed, Saif Ur Rahman, Mingyue Tang +1
cs.LGcs.AIarXiv:2608.18495v12026
SemComp-Bench: Benchmarking Semantic Task Completion in Video Generation
Keyu Tu, Zhuowei Chen, Mengqi Huang +4
cs.CVcs.AIarXiv:2608.17426v12026
Cross-Model Memory Transfer via Target-Side Reader Adaptation
Mingyuan Li, Guangsheng Yu, Xu Wang +1
cs.CLcs.AIarXiv:2608.17050v12026

Artificial Intelligence

Industrial Internet of Things Intelligence Empowering Smart Manufacturing: A Literature Review

TTCS: Test-Time Curriculum Synthesis for Self-Evolving

REASONING GYM: Reasoning Environments for Reinforcement Learning with Verifiable Rewards

A Mechanistic View on Video Generation as World Models: State and Dynamics

Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge

Reinforcement Learning with Action Chunking

VIBE: Visual Instruction Based Editor

GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving

OmniRetarget: Interaction-Preserving Data Generation for Humanoid Whole-Body Loco-Manipulation and Scene Interaction

MultiAgentBench: Evaluating the Collaboration and Competition of LLM agents

Distributed Implicit Harm: A Compositional Safety Blind Spot in MLLM-Based Video Moderation

Learning a visuomotor controller for real world robotic grasping using simulated depth images

PaliGemma: A versatile 3B VLM for transfer

ReFT: Representation Finetuning for Language Models

V-STaR: Training Verifiers for Self-Taught Reasoners

Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers

Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting

Large Language Models as Optimizers

LIMR: Less is More for RL Scaling

A Comprehensive Survey of Deep Transfer Learning for Anomaly Detection in Industrial Time Series: Methods, Applications, and Directions

Language is All a Graph Needs

Is Self-Repair a Silver Bullet for Code Generation?

Can Language Models Solve Graph Problems in Natural Language?

Open-vocabulary Queryable Scene Representations for Real World Planning

Data Augmentation techniques in time series domain: A survey and taxonomy

Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning

Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation

Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors

Attributed Graph Clustering via Adaptive Graph Convolution

Adversarial Attack and Defense on Graph Data: A Survey

Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty

Flow: A Modular Learning Framework for Mixed Autonomy Traffic

MedSAM2: Segment Anything in 3D Medical Images and Videos

Echo-4o: Harnessing the Power of GPT-4o Synthetic Images for Improved Image Generation

RoboCasa365: A Large-Scale Simulation Framework for Training and Benchmarking Generalist Robots

OVO-Bench: How Far is Your Video-LLMs from Real-World Online Video Understanding?

Subliminal Learning: Language models transmit behavioral traits via hidden signals in data

Do generative video models understand physical principles?

Safe Reinforcement Learning with Model Uncertainty Estimates

WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization

See What You Are Told: Visual Attention Sink in Large Multimodal Models

NeoRed: A Knowledge-Logic-Alignment Multimodal Large Language Model for Neonatal Respiratory Disease Diagnosis

Verify Before You Distill: Prompt-Level Teacher Gating for On-Policy Distillation

A Two-Stage Learning PINN Approach for Solving the Inverse Problem of the 1D Porous Medium Equation

Agentic Empirical Asset Pricing: Methodological Foundations

Training Alignment Auditors via Reinforcement Learning

Functional compatibility as a determinant of persistent neural learning

EviDx: Evidence-Aware Active Diagnosis with Scaffolded LLM Agents

Self-Evolving Curriculum for LLM Reasoning

The Empire, Long Divided, Must Unite: Architectural Convergence in Three LLM Agent Harnesses

Length-Adaptive Decoding for Masked Diffusion Machine Translation

CRS-Bench: A Reference-Relative Reliability Benchmark for Medical Image Encoders

GuardianBench: A Same-Scene Instruction-Contrastive Benchmark for Latent Contextual Risk in Embodied AI

DreamBench-SWE: A Multi-Session Memory-Hygiene Benchmark for Software Agents

FlavourBench: Ranking Frontier Language Models with Executable Culinary Ground Truth

ReWEIGH the Evidence: Calibrating Token-Level Ordinal Visual Evidence to Mitigate Hallucinations in Large Vision-Language Models

Denoising-Aware Inversion: Revealing Privacy Risks in Noise-Protected Text Embeddings

Physics-Unrolled Neural Operator for Wireless Field Modeling

SemComp-Bench: Benchmarking Semantic Task Completion in Video Generation

Cross-Model Memory Transfer via Target-Side Reader Adaptation