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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6,121 to 6,180 of 15,189

Generative Adversarial Imitation Learning
Jonathan Ho, Stefano Ermon
cs.LGcs.AIarXiv:1606.03476v12016
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare, Sriram Srinivasan, Georg Ostrovski +3
cs.AIcs.LGstat.MLarXiv:1606.01868v22016
Adversarial Feature Learning
Jeff Donahue, Philipp Krähenbühl, Trevor Darrell
cs.LGcs.AIcs.CVarXiv:1605.09782v72016
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
Konstantinos Kamnitsas, Christian Ledig, Virginia F. J. Newcombe +5
cs.CVcs.AIarXiv:1603.05959v32016
DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments
Yuxiang Zheng, Dayuan Fu, Xiangkun Hu +4
cs.AIcs.CLcs.LGarXiv:2504.03160v42025
Gated Graph Sequence Neural Networks
Yujia Li, Daniel Tarlow, Marc Brockschmidt +1
cs.LGcs.AIcs.NEarXiv:1511.05493v42015
The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems
Ryan Lowe, Nissan Pow, Iulian Serban +1
cs.CLcs.AIcs.LGarXiv:1506.08909v32015
Hinge-Loss Markov Random Fields and Probabilistic Soft Logic
Stephen H. Bach, Matthias Broecheler, Bert Huang +1
cs.LGcs.AIstat.MLarXiv:1505.04406v32015
Learning Dependency-Based Compositional Semantics
Percy Liang, Michael I. Jordan, Dan Klein
cs.AIarXiv:1109.6841v12011
HiLRP: Toward One Trustworthy Explanation for Vision Transformer: Conservation-Valid Attribution via Attention Primitives
Sathiyamohan Nishankar, Pubudu Sanjeewani, Asanka Perera +1
cs.CVcs.AIarXiv:2609.01282v12026
StainPresetNet: Stain Preset Network for Fast Multi-to-Multi Stain Normalization
Hongtao Kang, Die Luo, Li Chen +4
cs.CVcs.AIarXiv:2609.01146v12026
Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization
Daniel Golovin, Andreas Krause
cs.LGcs.AIcs.DSarXiv:1003.3967v52010
HVI: A New Color Space for Low-light Image Enhancement
Qingsen Yan, Yixu Feng, Cheng Zhang +6
cs.CVcs.AIcs.LGarXiv:2502.20272v22025
Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study
Shams Nafisa Ali, Md. Tazuddin Ahmed, Joydip Paul +4
cs.CVcs.AIeess.IVarXiv:2207.03342v12022
Solaris: Towards Interfaces That Are Generated, Not Coded
Yuval Alaluf, Omri Avrahami, Guy Bukchin Leshem +18
cs.CVcs.AIarXiv:2609.00776v12026
AgentFactory: Towards Automated Agentic System Design and Optimization
Enci Zhang, Haofeng Wang, Yuesheng Zhu +2
cs.AIarXiv:2609.01045v12026
WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation
Yuwei Niu, Munan Ning, Mengren Zheng +9
cs.CVcs.AIcs.CLarXiv:2503.07265v42025
Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs
Ursula Challita, Aidin Ferdowsi, Mingzhe Chen +1
cs.ITcs.AIarXiv:1804.05348v32018
Scalable Best-of-N Selection for Large Language Models via Self-Certainty
Zhewei Kang, Xuandong Zhao, Dawn Song
cs.CLcs.AIcs.LGarXiv:2502.18581v32025
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
Yuxiang Wei, Olivier Duchenne, Jade Copet +6
cs.SEcs.AIcs.CLarXiv:2502.18449v22025
Instella-MoE Technical Report
Jiang Liu, Sudhanshu Ranjan, Prakamya Mishra +10
cs.CLcs.AIarXiv:2609.00791v12026
Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
Lucy Xiaoyang Shi, Brian Ichter, Michael Equi +12
cs.ROcs.AIcs.LGarXiv:2502.19417v22025
TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models
Yangguang Li, Zi-Xin Zou, Zexiang Liu +8
cs.CVcs.AIarXiv:2502.06608v32025
ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills
Tairan He, Jiawei Gao, Wenli Xiao +15
cs.ROcs.AIcs.LGarXiv:2502.01143v32025
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL
Yingzhe Peng, Gongrui Zhang, Miaosen Zhang +7
cs.CLcs.AIarXiv:2503.07536v22025
Learning to Branch
Maria-Florina Balcan, Travis Dick, Tuomas Sandholm +1
cs.AIcs.DSarXiv:1803.10150v22018
Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction
Yong Lin, Shange Tang, Bohan Lyu +17
cs.LGcs.AIarXiv:2508.03613v12025
Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI
Shang Lu
cs.AIcs.CYarXiv:2609.01685v12026
AI as Teammate: Rethinking Task Distribution in Medical Training
Fendi Tsim, Alina Gutoreva, Anthony Weiss +1
cs.HCcs.AIarXiv:2608.28373v12026
Can You Say This for Me? Speaking Up by Proxy in Co-Located Discussion
Yue Shen, Rehema Abulikemu, Ryan P. McMahan +1
cs.AIcs.ETcs.HCarXiv:2608.26185v12026
Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment
Stephen Chung, Wenyu Du, William J. Wesley
cs.AIcs.DMcs.MAarXiv:2608.23691v12026
Safety Hacking in Constrained Best-of-$N$ Inference-time Scaling
Akifumi Wachi, Takumi Tanabe, Youhei Akimoto
cs.LGcs.AIcs.CLarXiv:2608.22915v12026
GuardPaint:SpeculativeSafetyDecodingforText-to-ImageGeneration
Shreyash Dhoot, Paras Dhiman, Arsh Abbas Naqvi +4
cs.CVcs.AIarXiv:2608.21869v12026
ATHENA: Knowledge-guided agentic neural architecture search for AutoFormer-based electronic health record modeling
Deyi Li, Qi Xu, Lingyao Li +3
cs.AIcs.MAarXiv:2608.21712v12026
Testing and Evaluation of Agentic AI Systems In Military Command and Control
Ulysse Richard, Heather Frase, Sarah Cao +3
cs.SEcs.AIcs.CYarXiv:2608.20597v12026
Provable Edge-of-Stability for Adam on a One-Dimensional Quadratic
Yiman Fong, Heng Yang
cs.LGcs.AImath.OCarXiv:2608.20638v12026
Test-Time Scaling in the Wild: Why Exploitation, Not Exploration, Is the Bottleneck
Davide Romano, Kanak Raj, Jerrod Parker +1
cs.CLcs.AIarXiv:2608.18931v12026
RTPO: Reverse-Turn Policy Optimization for Stabilizing Agentic RL Training
Yugu Li, Jimmy Cao, Jianglin Qiao +1
cs.AIarXiv:2608.18682v12026
A strengthening of the MCFL-ness of $O_2$
Marco B. Caminati
cs.FLcs.AIcs.LOarXiv:2608.18813v12026
Performance Drift Detection in Machine Learning as a Service (MLaaS) for IoT Environments
Deepak Kanneganti, Sajib Mistry, Sheik Mohammad Mostakim Fattah +3
cs.LGcs.AIarXiv:2608.18555v12026
A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities
Rafael Muñoz-Terol, Jesús Peral, Sandra Amador +1
cs.LGcs.AIarXiv:2608.18188v12026
Global Index on Responsible AI 2026 : Conceptual Framework and Methodology
Fola Adeleke, Rachel Adams, Ayantola Alayande +4
cs.CYcs.AIarXiv:2608.18122v12026
RDFdL: Integrating RDF with Differential Dynamic Logic
Yuyang Li, Lukas Kubelka, Julia Butte +1
cs.AIcs.FLcs.LOarXiv:2608.18165v12026
How Quantum Is the Advantage? A Fair, Calibration- and Noise-Aware Benchmark and Attribution Audit of Quantum Machine Learning for Network Intrusion Detection
Syeda Anshrah Gillani, Mirza Samad Ahmed Baig, Shahid Munir Shah +2
quant-phcs.AIcs.ETarXiv:2608.18155v12026
Institutional Prestige as Geographic Bias in Large Language Models: Evidence from Three Factorial Experiments with Bootstrap Confidence Intervals
Maikel Leyva-Vazquez, Florentin Smarandache
cs.CLcs.AIarXiv:2608.18107v12026
The Curious Case of Exploding DecPOMDPs: Containing the Fire through Policy Counting
Nazlı Nur Karabulut, tanya Braun
cs.AIarXiv:2608.17749v12026
Structural Plan-to-Model Conversion with Deterministic Geometry and Guarded Agentic Vision-Language Refinement
Mohammad Talebi-Kalaleh, Qipei Mei
cs.CVcs.AIarXiv:2608.17237v12026
Maximum Tsallis Entropy Distributions for Robust and Efficient Sparse Learning from Correlated Data
Kai Yang, Masoud Asgharian, Celia M. T. Greenwood
math.OCcs.AImath.STarXiv:2608.17244v12026
The Problem Is the Problem: Towards Scalable Mathematical Discovery
Zeyu Zheng, Shengtong Zhang, Jeremy Avigad +2
cs.AImath.COarXiv:2608.16977v12026
Institution-Specific LLM Prompting Recovers PHI That De-identification Systems and Their Gold Standards Both Miss
Daniel Palacios, Matthew Brady Neeley, Angel Adetomike Otto +6
cs.CLcs.AIarXiv:2608.17051v12026
Large language models as synthetic clinical experts to inform longitudinal rare-disease modeling
Clemens Schächter, Astrid Pechmann, Janbernd Kirschner +2
cs.AIarXiv:2608.16507v12026
Defeating Prompt Injections by Design
Edoardo Debenedetti, Ilia Shumailov, Tianqi Fan +7
cs.CRcs.AIarXiv:2503.18813v22025
Offline Reinforcement Learning for Hemodynamic Management of Sepsis in the ICU: a MIMIC-IV Study with Dual Off-Policy Evaluation
Marc Pérez-Roig, David Fernández-Narro, Carlos Sáez
cs.AIcs.LGarXiv:2608.16482v12026
Think Inside the Chunk: RegulaRAG for Regulation-Compliant Scenario Generation using LLMs: A Case Study of UN Regulation No. 152
Vahid Zolfaghari, Nenad Petrovic, AndrÉ Schamschurko +1
cs.AIcs.IRarXiv:2608.16394v12026
RetroMPA: A Molecular Property-Aware Auxiliary Framework for Enhancing Retrosynthesis Prediction
Mianzhi Liu, Fan Xiao, Zhiliang Yu +5
cs.LGcs.AIarXiv:2608.16111v12026
A Responsible Artificial Intelligence Framework for Groundwater Modeling
Chong Chen, Yulu Zhang, Qingxi Guo +1
cs.AIarXiv:2608.15657v12026
Noesis: Bidirectional Graph-RAG with Adaptive Parallelism and Cross-Knowledge-Base Semantic Discovery
Nicola Cogotti
cs.IRcs.AIarXiv:2608.15919v12026
Decentralized Federated Learning for Heterogeneous Multi-Task Semantic Communication
Lin Yin, Tiejun Lv, Weicai Li +2
cs.AIcs.LGarXiv:2608.15256v12026
Fractional Optimizers Meet Fractal Activation Functions: An Empirical Study of Multi-Scale Optimization in Neural Network
Sebastian Raubitzek, Georg Goldenits, Sebastian Schrittwieser +2
cs.LGcs.AIarXiv:2608.14636v12026
Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy
Min Du, Ruoxi Jia, Dawn Song
cs.LGcs.AIcs.CRarXiv:1911.07116v12019

Artificial Intelligence

Generative Adversarial Imitation Learning

Unifying Count-Based Exploration and Intrinsic Motivation

Adversarial Feature Learning

Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation

DeepResearcher: Scaling Deep Research via Reinforcement Learning in Real-world Environments

Gated Graph Sequence Neural Networks

The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems

Hinge-Loss Markov Random Fields and Probabilistic Soft Logic

Learning Dependency-Based Compositional Semantics

HiLRP: Toward One Trustworthy Explanation for Vision Transformer: Conservation-Valid Attribution via Attention Primitives

StainPresetNet: Stain Preset Network for Fast Multi-to-Multi Stain Normalization

Adaptive Submodularity: Theory and Applications in Active Learning and Stochastic Optimization

HVI: A New Color Space for Low-light Image Enhancement

Monkeypox Skin Lesion Detection Using Deep Learning Models: A Feasibility Study

Solaris: Towards Interfaces That Are Generated, Not Coded

AgentFactory: Towards Automated Agentic System Design and Optimization

WISE: A World Knowledge-Informed Semantic Evaluation for Text-to-Image Generation

Machine Learning for Wireless Connectivity and Security of Cellular-Connected UAVs

Scalable Best-of-N Selection for Large Language Models via Self-Certainty

SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution

Instella-MoE Technical Report

Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models

TripoSG: High-Fidelity 3D Shape Synthesis using Large-Scale Rectified Flow Models

ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills

LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL

Learning to Branch

Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction

Meta-ethics and AI: exploring the novel meta-ethical questions in the era of AI

AI as Teammate: Rethinking Task Distribution in Medical Training

Can You Say This for Me? Speaking Up by Proxy in Co-Located Discussion

Autonomous Mathematical Discovery in an Open-World Multi-Agent Environment

Safety Hacking in Constrained Best-of-$N$ Inference-time Scaling

GuardPaint:SpeculativeSafetyDecodingforText-to-ImageGeneration

ATHENA: Knowledge-guided agentic neural architecture search for AutoFormer-based electronic health record modeling

Testing and Evaluation of Agentic AI Systems In Military Command and Control

Provable Edge-of-Stability for Adam on a One-Dimensional Quadratic

Test-Time Scaling in the Wild: Why Exploitation, Not Exploration, Is the Bottleneck

RTPO: Reverse-Turn Policy Optimization for Stabilizing Agentic RL Training

A strengthening of the MCFL-ness of $O_2$

Performance Drift Detection in Machine Learning as a Service (MLaaS) for IoT Environments

A systematic review of machine learning techniques to address diagnosis and treatment of autism: challenges and opportunities

Global Index on Responsible AI 2026 : Conceptual Framework and Methodology

RDFdL: Integrating RDF with Differential Dynamic Logic

How Quantum Is the Advantage? A Fair, Calibration- and Noise-Aware Benchmark and Attribution Audit of Quantum Machine Learning for Network Intrusion Detection

Institutional Prestige as Geographic Bias in Large Language Models: Evidence from Three Factorial Experiments with Bootstrap Confidence Intervals

The Curious Case of Exploding DecPOMDPs: Containing the Fire through Policy Counting

Structural Plan-to-Model Conversion with Deterministic Geometry and Guarded Agentic Vision-Language Refinement

Maximum Tsallis Entropy Distributions for Robust and Efficient Sparse Learning from Correlated Data

The Problem Is the Problem: Towards Scalable Mathematical Discovery

Institution-Specific LLM Prompting Recovers PHI That De-identification Systems and Their Gold Standards Both Miss

Large language models as synthetic clinical experts to inform longitudinal rare-disease modeling

Defeating Prompt Injections by Design

Offline Reinforcement Learning for Hemodynamic Management of Sepsis in the ICU: a MIMIC-IV Study with Dual Off-Policy Evaluation

Think Inside the Chunk: RegulaRAG for Regulation-Compliant Scenario Generation using LLMs: A Case Study of UN Regulation No. 152

RetroMPA: A Molecular Property-Aware Auxiliary Framework for Enhancing Retrosynthesis Prediction

A Responsible Artificial Intelligence Framework for Groundwater Modeling

Noesis: Bidirectional Graph-RAG with Adaptive Parallelism and Cross-Knowledge-Base Semantic Discovery

Decentralized Federated Learning for Heterogeneous Multi-Task Semantic Communication

Fractional Optimizers Meet Fractal Activation Functions: An Empirical Study of Multi-Scale Optimization in Neural Network

Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy