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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5,461 to 5,520 of 15,365

Conditional Hypothesis Generation for LLM-Based Text Analysis with Researcher-Specified Covariates
Paiheng Xu, Jing Liu, Wei Ai
cs.CLcs.AIarXiv:2606.03029v12026
CroCo: Cross-Lingual Contrastive Preference Tuning on Self-Generations
Mike Zhang, Ali Basirat, Desmond Elliott
cs.CLcs.AIarXiv:2605.26293v12026
MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research
Dingbang Wu, Rui Hao, Haiyang Wang +8
cs.AIcs.CLarXiv:2605.26114v22026
Foundation Protocol: A Coordination Layer for Agentic Society
Bang Liu, Yongfeng Gu, Jiayi Zhang +26
cs.AIarXiv:2605.23218v12026
CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?
Haolin Chen, Deon Metelski, Leon Qi +30
cs.CLcs.AIarXiv:2605.16679v22026
TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment
Zhewen Tan, Wenhan Yu, Jianfeng Si +9
cs.LGcs.AIarXiv:2601.18292v22026
KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs
Chuangtao Chen, Grace Li Zhang, Xunzhao Yin +3
cs.LGcs.AIarXiv:2604.13226v22026
LightMem: Lightweight and Efficient Memory-Augmented Generation
Jizhan Fang, Xinle Deng, Haoming Xu +9
cs.CLcs.AIcs.CVarXiv:2510.18866v42025
Type-Checked Compliance: Deterministic Guardrails for Agentic Financial Systems Using Lean 4 Theorem Proving
Devakh Rashie, Veda Rashi
cs.LOcs.AIcs.CRarXiv:2604.01483v12026
REVERE: Reflective Evolving Research Engineer
Balaji Dinesh Gangireddi, Aniketh Garikaparthi, Manasi Patwardhan +1
cs.SEcs.AIarXiv:2603.20667v22026
Reaching Beyond the Mode: RL for Distributional Reasoning in Language Models
Isha Puri, Mehul Damani, Idan Shenfeld +3
cs.LGcs.AIcs.CLarXiv:2603.24844v12026
Memento-Skills: Let Agents Design Agents
Huichi Zhou, Siyuan Guo, Anjie Liu +14
cs.AIcs.CLcs.LGarXiv:2603.18743v12026
Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications
Kento Kawaharazuka, Jihoon Oh, Jun Yamada +2
cs.ROcs.AIcs.CVarXiv:2510.07077v12025
Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI
Ali Raza, Kim Phuc Tran, Ludovic Koehl +1
cs.LGcs.AIeess.SParXiv:2105.12497v22021
Unified Vision-Language Modeling via Concept Space Alignment
Yifu Qiu, Paul-Ambroise Duquenne, Holger Schwenk
cs.CVcs.AIcs.CLarXiv:2603.01096v12026
A Mixed Diet Makes DINO An Omnivorous Vision Encoder
Rishabh Kabra, Maks Ovsjanikov, Drew A. Hudson +5
cs.CVcs.AIarXiv:2602.24181v22026
DREAM: Deep Research Evaluation with Agentic Metrics
Elad Ben Avraham, Changhao Li, Ron Dorfman +8
cs.AIarXiv:2602.18940v12026
Implicit Intelligence -- Evaluating Agents on What Users Don't Say
Ved Sirdeshmukh, Marc Wetter
cs.AIarXiv:2602.20424v12026
References Improve LLM Alignment in Non-Verifiable Domains
Kejian Shi, Yixin Liu, Peifeng Wang +3
cs.CLcs.AIcs.LGarXiv:2602.16802v12026
scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery
Yiming Gao, Zhen Wang, Jefferson Chen +8
cs.AIq-bio.GNarXiv:2602.11609v12026
s1: Simple test-time scaling
Niklas Muennighoff, Zitong Yang, Weijia Shi +7
cs.CLcs.AIcs.LGarXiv:2501.19393v32025
AudioSAE: Towards Understanding of Audio-Processing Models with Sparse AutoEncoders
Georgii Aparin, Tasnima Sadekova, Alexey Rukhovich +5
cs.SDcs.AIarXiv:2602.05027v22026
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

Artificial Intelligence

Conditional Hypothesis Generation for LLM-Based Text Analysis with Researcher-Specified Covariates

CroCo: Cross-Lingual Contrastive Preference Tuning on Self-Generations

MobileGym: A Verifiable and Highly Parallel Simulation Platform for Mobile GUI Agent Research

Foundation Protocol: A Coordination Layer for Agentic Society

CHI-Bench: Can AI Agents Automate End-to-End, Long-Horizon, Policy-Rich Healthcare Workflows?

TriPlay-RL: Tri-Role Self-Play Reinforcement Learning for LLM Safety Alignment

KV Packet: Recomputation-Free Context-Independent KV Caching for LLMs

LightMem: Lightweight and Efficient Memory-Augmented Generation

Type-Checked Compliance: Deterministic Guardrails for Agentic Financial Systems Using Lean 4 Theorem Proving

REVERE: Reflective Evolving Research Engineer

Reaching Beyond the Mode: RL for Distributional Reasoning in Language Models

Memento-Skills: Let Agents Design Agents

Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications

Designing ECG Monitoring Healthcare System with Federated Transfer Learning and Explainable AI

Unified Vision-Language Modeling via Concept Space Alignment

A Mixed Diet Makes DINO An Omnivorous Vision Encoder

DREAM: Deep Research Evaluation with Agentic Metrics

Implicit Intelligence -- Evaluating Agents on What Users Don't Say

References Improve LLM Alignment in Non-Verifiable Domains

scPilot: Large Language Model Reasoning Toward Automated Single-Cell Analysis and Discovery

s1: Simple test-time scaling

AudioSAE: Towards Understanding of Audio-Processing Models with Sparse AutoEncoders

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?