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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17,281 to 17,340 of 28,030

Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving
Zheng Wu, Liting Sun, Wei Zhan +2
cs.ROcs.AIcs.LGarXiv:2006.13704v12020
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience
Zeyi Sun, Ziyu Liu, Yuhang Zang +5
cs.AIcs.CLcs.CVarXiv:2508.04700v22025
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli, Liane Lovitt, Jackson Kernion +33
cs.CLcs.AIcs.CYarXiv:2209.07858v22022
Exploring Disentangled Feature Representation Beyond Face Identification
Yu Liu, Fangyin Wei, Jing Shao +3
cs.CVcs.AIarXiv:1804.03487v12018
Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots
Adrien Baranes, Pierre-Yves Oudeyer
cs.LGcs.AIcs.CVarXiv:1301.4862v12013
TutorTrace: A Dataset and Taxonomy for Classifying Learner Behavioral States during AI-Assisted Programming Education
David Barron, Xiaohang Tang, Rezky Dwisantika +4
cs.AIcs.HCarXiv:2608.26184v12026
Challenges in Detoxifying Language Models
Johannes Welbl, Amelia Glaese, Jonathan Uesato +7
cs.CLcs.AIcs.CYarXiv:2109.07445v12021
WorldModelBench: Judging Video Generation Models As World Models
Dacheng Li, Yunhao Fang, Yukang Chen +10
cs.CVcs.AIarXiv:2502.20694v12025
Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework
Mehdi Ali, Max Berrendorf, Charles Tapley Hoyt +6
cs.LGcs.AIstat.MLarXiv:2006.13365v52020
Rethinking Efficient Lane Detection via Curve Modeling
Zhengyang Feng, Shaohua Guo, Xin Tan +3
cs.CVcs.AIcs.LGarXiv:2203.02431v22022
FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack
Donghua Wang, Tingsong Jiang, Jialiang Sun +5
cs.CVcs.AIarXiv:2109.07193v32021
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games
Peng Peng, Ying Wen, Yaodong Yang +4
cs.AIcs.LGarXiv:1703.10069v42017
AutoMedBench: Towards Medical AutoResearch with Agentic AI Models
Junqi Liu, Selena Song, Yuhan Wang +12
cs.AIarXiv:2606.01961v22026
FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network
Aditya Kusupati, Manish Singh, Kush Bhatia +3
cs.LGcs.AIcs.NEarXiv:1901.02358v12019
Benchmarking Single Image Dehazing and Beyond
Boyi Li, Wenqi Ren, Dengpan Fu +4
cs.CVcs.AIcs.LGarXiv:1712.04143v42017
Token-Efficient Multi-Agent Collaboration via System One-Guided Computational Division of Labor
Zihan Zhou, Xinzhe Hu, Hanxu Yang +2
cs.MAcs.AIarXiv:2610.08155v12026
Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving
Yinpeng Dong, Caixin Kang, Jinlai Zhang +6
cs.CVcs.AIcs.CRarXiv:2303.11040v12023
Cheap, open agents make LLM pollution harder to mitigate
Raluca Rilla, Anne-Marie Nussberger, Rui Mata +1
cs.AIarXiv:2609.31054v12026
Beyond Surface Forms: Symbolic Edits as a Test for Logical Reasoning with LLMs
Ramya Keerthy Thatikonda, Wray Buntine, Ehsan Shareghi
cs.CLcs.AIarXiv:2608.30256v12026
Reconstructive Visual Instruction Tuning
Haochen Wang, Anlin Zheng, Yucheng Zhao +4
cs.CVcs.AIcs.CLarXiv:2410.09575v22024
The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders
Han He, Jinho D. Choi
cs.CLcs.AIarXiv:2109.06939v12021
On Graphical Modeling of Preference and Importance
R. I. Brafman, C. Domshlak, S. E. Shimony
cs.AIarXiv:1109.6345v12011
Position: Current Model Cards Are Insufficient for Downstream Governance of Open-Weight Foundation Models
Sungwon Chae, Keonwoo Kim, Hoki Kim +2
cs.AIcs.LGarXiv:2608.18086v12026
PuzzlePlex: Benchmarking Foundation Models on Reasoning and Planning with Puzzles
Yitao Long, Yuru Jiang, Hongjun Liu +6
cs.AIcs.CLarXiv:2510.06475v12025
Experience Replay with Likelihood-free Importance Weights
Samarth Sinha, Jiaming Song, Animesh Garg +1
cs.AIcs.LGarXiv:2006.13169v12020
HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline
Yang Li, Xinyan Chen, Wenxuan Guo +6
cs.AIcs.LGarXiv:2302.02104v32023
Test-Time Adaptation of Quantized ViTs via Single-Pass Quantizer-Aligned Recalibration
Hyeongheon Cha, Young D. Kwon, Sung-Ju Lee
cs.CVcs.AIarXiv:2610.08358v12026
Constitutive Priors for Machine Intelligence: A Legitimacy Theory of the Artificial Physical World
Jiang Jiang, Yifu Sun, Qi Shen
cs.AIcs.MAarXiv:2608.15147v12026
GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection
Duong Nguyen, Rodolphe Vadaine, Guillaume Hajduch +2
cs.LGcs.AIstat.MLarXiv:1912.00682v52019
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
Ruth Fong, Andrea Vedaldi
cs.CVcs.AIstat.MLarXiv:1801.03454v22018
Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations
Christian Tomani, Kamalika Chaudhuri, Ivan Evtimov +2
cs.CLcs.AIarXiv:2404.10960v12024
A Survey of Behavior Trees in Robotics and AI
Matteo Iovino, Edvards Scukins, Jonathan Styrud +2
cs.ROcs.AIarXiv:2005.05842v22020
Hierarchical Game-Theoretic Planning for Autonomous Vehicles
Jaime F. Fisac, Eli Bronstein, Elis Stefansson +3
cs.ROcs.AIcs.MAarXiv:1810.05766v12018
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective
Jingwei Sun, Ang Li, Louis DiValentin +3
cs.LGcs.AIcs.CVarXiv:2110.13864v12021
Self-Supervised Visual Planning with Temporal Skip Connections
Frederik Ebert, Chelsea Finn, Alex X. Lee +1
cs.ROcs.AIcs.CVarXiv:1710.05268v12017
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2
Zachary Daniels, Aswin Raghavan, Jesse Hostetler +4
cs.LGcs.AIarXiv:2208.05056v22022
Measuring the Business Value of Recommender Systems
Dietmar Jannach, Michael Jugovac
cs.IRcs.AIcs.LGarXiv:1908.08328v32019
Learning by Abstraction: The Neural State Machine
Drew A. Hudson, Christopher D. Manning
cs.AIcs.CLcs.CVarXiv:1907.03950v42019
Adaptive Layerwise Perturbation: Unifying Off-Policy Corrections for LLM RL
Chenlu Ye, Xuanchang Zhang, Yifan Hao +6
cs.LGcs.AIarXiv:2603.19470v32026
History Aware Multimodal Transformer for Vision-and-Language Navigation
Shizhe Chen, Pierre-Louis Guhur, Cordelia Schmid +1
cs.CVcs.AIarXiv:2110.13309v22021
EyeRobot 2.0: Active Gaze for Precise Manipulation without Wrist Cameras
Kush Hari, Justin Kerr, Nidhya Shivakumar +7
cs.ROcs.AIarXiv:2610.03710v12026
Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions
Mohammad Aliannejadi, Julia Kiseleva, Aleksandr Chuklin +2
cs.CLcs.AIcs.IRarXiv:2109.05794v12021
DataVista: Diagnosing Multimodal LLMs on Data Video Understanding
Yupeng Xie, Zhenyang Wang, Jiayi Zhu +4
cs.CVcs.AIcs.CLarXiv:2610.11993v12026
Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs
Ansuman Mullick, Eray Tüzün
cs.AIarXiv:2609.10413v12026
Combining Fact Extraction and Verification with Neural Semantic Matching Networks
Yixin Nie, Haonan Chen, Mohit Bansal
cs.CLcs.AIarXiv:1811.07039v12018
Are Diffusion Models Vulnerable to Membership Inference Attacks?
Jinhao Duan, Fei Kong, Shiqi Wang +2
cs.CVcs.AIcs.CRarXiv:2302.01316v22023
Probabilistic Theorem Proving
Vibhav Gogate, Pedro Domingos
cs.AIarXiv:1202.3724v12012
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
Siyu Teng, Xuemin Hu, Peng Deng +8
cs.ROcs.AIarXiv:2303.09824v42023
Online Replanning in Belief Space for Partially Observable Task and Motion Problems
Caelan Reed Garrett, Chris Paxton, Tomás Lozano-Pérez +2
cs.ROcs.AIarXiv:1911.04577v22019
CS-Guard: Benchmarking LLM Guardrails for Code Generation Security
Jinyang Li, Mingyu Guo, Hung X. Nguyen
cs.CRcs.AIarXiv:2609.09798v12026
Multimodal Chain-of-Thought Reasoning in Language Models
Zhuosheng Zhang, Aston Zhang, Mu Li +3
cs.CLcs.AIcs.CVarXiv:2302.00923v52023
SemDeDup: Data-efficient learning at web-scale through semantic deduplication
Amro Abbas, Kushal Tirumala, Dániel Simig +2
cs.LGcs.AIcs.CVarXiv:2303.09540v32023
Multi-Head Attention Residuals
Cheng Luo, Zefan Cai, Junjie Hu
cs.AIarXiv:2607.27230v22026
Constrained Variational Policy Optimization for Safe Reinforcement Learning
Zuxin Liu, Zhepeng Cen, Vladislav Isenbaev +4
cs.LGcs.AIcs.ROarXiv:2201.11927v32022
NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
Yongqi Zhang, Quanming Yao, Yingxia Shao +1
cs.AIcs.CLcs.LGarXiv:1812.06410v22018
Towards a Rigorous Evaluation of Time-series Anomaly Detection
Siwon Kim, Kukjin Choi, Hyun-Soo Choi +2
cs.LGcs.AIstat.MEarXiv:2109.05257v22021
Hidden Risks of Jev: An Empirical Study of Security, Privacy, and Dual Use
Shang Wang, Tianqing Zhu, Huajie Chen +3
cs.CRcs.AIarXiv:2610.04985v12026
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks
Yu Yue, Yufeng Yuan, Qiying Yu +24
cs.AIarXiv:2504.05118v32025
Graph Neural Ordinary Differential Equations
Michael Poli, Stefano Massaroli, Junyoung Park +3
cs.LGcs.AIstat.MLarXiv:1911.07532v42019
TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection
Sijia Li, Gaopeng Gou, Chang Liu +3
cs.CRcs.AIarXiv:2204.13442v12022

Artificial Intelligence

Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving

SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Exploring Disentangled Feature Representation Beyond Face Identification

Active Learning of Inverse Models with Intrinsically Motivated Goal Exploration in Robots

TutorTrace: A Dataset and Taxonomy for Classifying Learner Behavioral States during AI-Assisted Programming Education

Challenges in Detoxifying Language Models

WorldModelBench: Judging Video Generation Models As World Models

Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework

Rethinking Efficient Lane Detection via Curve Modeling

FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack

Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games

AutoMedBench: Towards Medical AutoResearch with Agentic AI Models

FastGRNN: A Fast, Accurate, Stable and Tiny Kilobyte Sized Gated Recurrent Neural Network

Benchmarking Single Image Dehazing and Beyond

Token-Efficient Multi-Agent Collaboration via System One-Guided Computational Division of Labor

Benchmarking Robustness of 3D Object Detection to Common Corruptions in Autonomous Driving

Cheap, open agents make LLM pollution harder to mitigate

Beyond Surface Forms: Symbolic Edits as a Test for Logical Reasoning with LLMs

Reconstructive Visual Instruction Tuning

The Stem Cell Hypothesis: Dilemma behind Multi-Task Learning with Transformer Encoders

On Graphical Modeling of Preference and Importance

Position: Current Model Cards Are Insufficient for Downstream Governance of Open-Weight Foundation Models

PuzzlePlex: Benchmarking Foundation Models on Reasoning and Planning with Puzzles

Experience Replay with Likelihood-free Importance Weights

HardSATGEN: Understanding the Difficulty of Hard SAT Formula Generation and A Strong Structure-Hardness-Aware Baseline

Test-Time Adaptation of Quantized ViTs via Single-Pass Quantizer-Aligned Recalibration

Constitutive Priors for Machine Intelligence: A Legitimacy Theory of the Artificial Physical World

GeoTrackNet-A Maritime Anomaly Detector using Probabilistic Neural Network Representation of AIS Tracks and A Contrario Detection

Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks

Uncertainty-Based Abstention in LLMs Improves Safety and Reduces Hallucinations

A Survey of Behavior Trees in Robotics and AI

Hierarchical Game-Theoretic Planning for Autonomous Vehicles

FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective

Self-Supervised Visual Planning with Temporal Skip Connections

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2

Measuring the Business Value of Recommender Systems

Learning by Abstraction: The Neural State Machine

Adaptive Layerwise Perturbation: Unifying Off-Policy Corrections for LLM RL

History Aware Multimodal Transformer for Vision-and-Language Navigation

EyeRobot 2.0: Active Gaze for Precise Manipulation without Wrist Cameras

Building and Evaluating Open-Domain Dialogue Corpora with Clarifying Questions

DataVista: Diagnosing Multimodal LLMs on Data Video Understanding

Fortunate Recall: Ontology-Driven Memory Lifecycle Management for Persistent Coherence in LLMs

Combining Fact Extraction and Verification with Neural Semantic Matching Networks

Are Diffusion Models Vulnerable to Membership Inference Attacks?

Probabilistic Theorem Proving

Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives

Online Replanning in Belief Space for Partially Observable Task and Motion Problems

CS-Guard: Benchmarking LLM Guardrails for Code Generation Security

Multimodal Chain-of-Thought Reasoning in Language Models

SemDeDup: Data-efficient learning at web-scale through semantic deduplication

Multi-Head Attention Residuals

Constrained Variational Policy Optimization for Safe Reinforcement Learning

NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding

Towards a Rigorous Evaluation of Time-series Anomaly Detection

Hidden Risks of Jev: An Empirical Study of Security, Privacy, and Dual Use

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks

Graph Neural Ordinary Differential Equations

TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection