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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17,881 to 17,940 of 27,566

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search
Austin R. Ellis-Mohr, Anuj K. Nayak, Lav R. Varshney
cs.LGcs.AIcs.CYarXiv:2507.00004v22025
This Looks Like That: Deep Learning for Interpretable Image Recognition
Chaofan Chen, Oscar Li, Chaofan Tao +3
cs.LGcs.AIcs.CVarXiv:1806.10574v52018
MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning
Jiejun Tan, Zhicheng Dou, Liancheng Zhang +3
cs.IRcs.AIarXiv:2603.03379v22026
Spreadsheet-RL: Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement Learning
Banghao Chi, Yining Xie, Mingyuan Wu +9
cs.AIarXiv:2605.22642v12026
Contrastive Learning of Structured World Models
Thomas Kipf, Elise van der Pol, Max Welling
stat.MLcs.AIcs.LGarXiv:1911.12247v22019
LEDITS++: Limitless Image Editing using Text-to-Image Models
Manuel Brack, Felix Friedrich, Katharina Kornmeier +4
cs.CVcs.AIcs.HCarXiv:2311.16711v22023
Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos
Annie S. Chen, Suraj Nair, Chelsea Finn
cs.ROcs.AIcs.CVarXiv:2103.16817v12021
EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba
Xiaohuan Pei, Tao Huang, Chang Xu
cs.CVcs.AIarXiv:2403.09977v12024
Conditioned Activation Transport for T2I Safety Steering
Maciej Chrabąszcz, Aleksander Szymczyk, Jan Dubiński +3
cs.CVcs.AIarXiv:2603.03163v12026
Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning
Zhuoen Chen, Dongfang Li, Meishan Zhang +2
cs.CLcs.AIarXiv:2602.08382v12026
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
Ilija Ilievski, Taimoor Akhtar, Jiashi Feng +1
cs.AIcs.LGstat.MLarXiv:1607.08316v22016
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency
Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis +1
cs.LGcs.AIarXiv:2206.08496v32022
VideoDex: Learning Dexterity from Internet Videos
Kenneth Shaw, Shikhar Bahl, Deepak Pathak
cs.ROcs.AIcs.CVarXiv:2212.04498v12022
IntentCoding: Amplifying User Intent in Code Generation
Zheng Fang, Yihong Dong, Lili Mou +3
cs.SEcs.AIcs.CLarXiv:2602.00066v12026
PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency
Zhishuai Li, Xiang Wang, Jingjing Zhao +8
cs.CLcs.AIarXiv:2403.09732v42024
Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks
Mayuka Jayawardhana, Nihal Sharma, Kazem Meidani +3
cs.LGcs.AIarXiv:2604.08400v12026
Can Activation Steering Capture Multidimensional Authorship Style?
Hieu Tran, Calvin Bao, Marine Carpuat
cs.CLcs.AIarXiv:2609.04792v12026
From Scale to Speed: Adaptive Test-Time Scaling for Image Editing
Xiangyan Qu, Zhenlong Yuan, Jing Tang +9
cs.CVcs.AIcs.LGarXiv:2603.00141v32026
Learning to Execute
Wojciech Zaremba, Ilya Sutskever
cs.NEcs.AIcs.LGarXiv:1410.4615v32014
Unified CT and MRI Pancreas Segmentation for Label-Efficient Cross-Modality Subregion Transfer
Ziliang Hong, Hongyi Pan, Halil Ertugrul Aktas +7
cs.CVcs.AIarXiv:2609.13043v12026
From Passive Delegates to Strategic Negotiators: Reinforcing Social Reasoning in Small Language Models with SocialRL
Wenyue Hua, Zachary Huang, Tyler Payne +3
cs.AIcs.CLcs.LGarXiv:2608.13787v12026
Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science
Decebal Constantin Mocanu, Elena Mocanu, Peter Stone +3
cs.NEcs.AIcs.LGarXiv:1707.04780v22017
Evaluating Multimodal LLMs as Generalist Vision-Language-Action Agents for Drone Control: Commanding, Approaching, Tracking and Searching
Jaewoo Park, Minyoung Lee, Sukmin Seo +11
cs.ROcs.AIarXiv:2609.01404v12026
APTER: Adaptive Post-Training with Expert-Grounded Rubrics
Xukai Wang, Liangqi Li, Zhiyue Xu +6
cs.AIarXiv:2608.14212v12026
OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers
Donghyun Lee, Jitesh Chavan, Duy Nguyen +5
cs.CVcs.AIcs.LGarXiv:2607.02461v12026
SWE Context Bench: A Benchmark for Context Learning in Coding
Jiayuan Zhu, Junde Wu, Minhao Hu +9
cs.SEcs.AIarXiv:2602.08316v32026
AnyTouch 2: General Optical Tactile Representation Learning For Dynamic Tactile Perception
Ruoxuan Feng, Yuxuan Zhou, Siyu Mei +6
cs.ROcs.AIcs.CVarXiv:2602.09617v12026
OOM-RL II: Reality Is an Oracle, Not a Debugger Provenance-Constrained Diagnosis in Continually Evolving Agent-Engineered Systems
Kun Liu, Liqun Chen
cs.AIcs.SEq-fin.PMarXiv:2610.10256v12026
Faithfulness Tests for Natural Language Explanations
Pepa Atanasova, Oana-Maria Camburu, Christina Lioma +3
cs.CLcs.AIarXiv:2305.18029v22023
More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models
Chengzhi Liu, Zhongxing Xu, Qingyue Wei +5
cs.CLcs.AIcs.CVarXiv:2505.21523v32025
Mind Viruses: Self-Propagating Ideas in Multi-Agent LLM Systems
Vassilis Papadopoulos, McNair Shah, Sam Zimmerman +1
cs.AIcs.CLarXiv:2608.10218v12026
TorusE: Knowledge Graph Embedding on a Lie Group
Takuma Ebisu, Ryutaro Ichise
cs.AIarXiv:1711.05435v12017
Periodic Weak Spots: Phase Sensitivity from Chunked KV-Cache Compression
Xingyu Zhu, Pu, Yi +6
cs.LGcs.AIarXiv:2609.36322v12026
Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning
Pan Lu, Liang Qiu, Kai-Wei Chang +5
cs.LGcs.AIcs.CLarXiv:2209.14610v32022
Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models
Tuomas Kynkäänniemi, Miika Aittala, Tero Karras +3
cs.CVcs.AIcs.LGarXiv:2404.07724v22024
LLM-Enhanced Multi-Agent Reinforcement Learning for Unified Electric Vehicles-Charging Station-Grid Optimization in Public Charging Systems
Yang Zhang, Lindong Xie, Chongyu Wang +3
cs.AIarXiv:2609.13805v12026
FedLab: A Flexible Federated Learning Framework
Dun Zeng, Siqi Liang, Xiangjing Hu +2
cs.LGcs.AIarXiv:2107.11621v42021
Ego-Pose Estimation and Forecasting as Real-Time PD Control
Ye Yuan, Kris Kitani
cs.CVcs.AIcs.LGarXiv:1906.03173v22019
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution
Valts Blukis, Chris Paxton, Dieter Fox +2
cs.ROcs.AIcs.CLarXiv:2107.05612v32021
Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach
Upol Ehsan, Mark O. Riedl
cs.HCcs.AIarXiv:2002.01092v22020
What Makes Adversarial Examples Transfer Across Deepfake Detectors?
Rafael M. Mamede, Pedro C. Neto, Ana F. Sequeira
cs.CVcs.AIcs.CRarXiv:2609.10002v12026
Conflict-Averse Gradient Descent for Multi-task Learning
Bo Liu, Xingchao Liu, Xiaojie Jin +2
cs.LGcs.AIarXiv:2110.14048v22021
MemPO: Self-Memory Policy Optimization for Long-Horizon Agents
Ruoran Li, Xinghua Zhang, Haiyang Yu +7
cs.AIarXiv:2603.00680v42026
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey
Vanessa Buhrmester, David Münch, Michael Arens
cs.AIcs.CVarXiv:1911.12116v12019
DuMateBench: Evaluating Autonomous Agents in Complex Real-World Workflows
Zechun Niu, Yukun Zhao, Jiaxin Zhang +12
cs.AIcs.CLarXiv:2608.26546v12026
Diffusion Language Models for Mobile Edge Agentic AI: Foundations, Applications, and Challenges
Chenqi Li, Minghui Min, Dusit Niyato +1
cs.AIarXiv:2609.04778v12026
CHIP: CHannel Independence-based Pruning for Compact Neural Networks
Yang Sui, Miao Yin, Yi Xie +3
cs.CVcs.AIcs.LGarXiv:2110.13981v32021
Reasoning-Driven Multimodal LLM for Domain Generalization
Zhipeng Xu, Zilong Wang, Xinyang Jiang +3
cs.AIarXiv:2602.23777v12026
ConsultMind:Towards Automated Diagnostic Consultation via Uncertainty-Aware Reasoning
Xiao Sun, Yuming Yang, Yun Chen +9
cs.AIarXiv:2609.30796v12026
Multiagent Evaluation under Incomplete Information
Mark Rowland, Shayegan Omidshafiei, Karl Tuyls +4
cs.MAcs.AIcs.LGarXiv:1909.09849v42019
Keeping it Simple: Language Models can learn Complex Molecular Distributions
Daniel Flam-Shepherd, Kevin Zhu, Alán Aspuru-Guzik
cs.LGcs.AIq-bio.QMarXiv:2112.03041v12021
MMD GAN: Towards Deeper Understanding of Moment Matching Network
Chun-Liang Li, Wei-Cheng Chang, Yu Cheng +2
cs.LGcs.AIstat.MLarXiv:1705.08584v32017
One-Class Classification: Taxonomy of Study and Review of Techniques
Shehroz S. Khan, Michael G. Madden
cs.LGcs.AIarXiv:1312.0049v12013
Risk-Aware World Model Predictive Control for Generalizable End-to-End Autonomous Driving
Jiangxin Sun, Feng Xue, Teng Long +4
cs.CVcs.AIcs.ROarXiv:2602.23259v12026
Data-driven rational function neural networks: a new method for generating analytical models of rock physics
Weitao Sun
physics.geo-phcs.AIcs.ITarXiv:2109.08813v12021
Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba
Jizhe Wang, Pipei Huang, Huan Zhao +3
cs.IRcs.AIarXiv:1803.02349v22018
OntoAligner-Ensemble: Voting-Based Fusion across Heterogeneous Ontology Alignment Techniques
Hamed Babaei Giglou, Sören Auer, Peio Popov +2
cs.AIarXiv:2608.31137v12026
Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey
Tianxu Li, Kun Zhu, Nguyen Cong Luong +4
cs.AIcs.LGcs.MAarXiv:2110.13484v32021
How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring
Saleh Shahinfar, Paul Meek, Greg Falzon
cs.CVcs.AIcs.LGarXiv:2010.08186v12020
A Decision-Theoretic Formalisation of Steganography With Applications to LLM Monitoring
Usman Anwar, Julianna Piskorz, David D. Baek +6
cs.AIcs.CLcs.CRarXiv:2602.23163v32026

Artificial Intelligence

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search

This Looks Like That: Deep Learning for Interpretable Image Recognition

MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning

Spreadsheet-RL: Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement Learning

Contrastive Learning of Structured World Models

LEDITS++: Limitless Image Editing using Text-to-Image Models

Learning Generalizable Robotic Reward Functions from "In-The-Wild" Human Videos

EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Conditioned Activation Transport for T2I Safety Steering

Dynamic Long Context Reasoning over Compressed Memory via End-to-End Reinforcement Learning

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency

VideoDex: Learning Dexterity from Internet Videos

IntentCoding: Amplifying User Intent in Code Generation

PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency

Zero-shot Multivariate Time Series Forecasting Using Tabular Prior Fitted Networks

Can Activation Steering Capture Multidimensional Authorship Style?

From Scale to Speed: Adaptive Test-Time Scaling for Image Editing

Learning to Execute

Unified CT and MRI Pancreas Segmentation for Label-Efficient Cross-Modality Subregion Transfer

From Passive Delegates to Strategic Negotiators: Reinforcing Social Reasoning in Small Language Models with SocialRL

Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science

Evaluating Multimodal LLMs as Generalist Vision-Language-Action Agents for Drone Control: Commanding, Approaching, Tracking and Searching

APTER: Adaptive Post-Training with Expert-Grounded Rubrics

OrbitQuant: Data-Agnostic Quantization for Image and Video Diffusion Transformers

SWE Context Bench: A Benchmark for Context Learning in Coding

AnyTouch 2: General Optical Tactile Representation Learning For Dynamic Tactile Perception

OOM-RL II: Reality Is an Oracle, Not a Debugger Provenance-Constrained Diagnosis in Continually Evolving Agent-Engineered Systems

Faithfulness Tests for Natural Language Explanations

More Thinking, Less Seeing? Assessing Amplified Hallucination in Multimodal Reasoning Models

Mind Viruses: Self-Propagating Ideas in Multi-Agent LLM Systems

TorusE: Knowledge Graph Embedding on a Lie Group

Periodic Weak Spots: Phase Sensitivity from Chunked KV-Cache Compression

Dynamic Prompt Learning via Policy Gradient for Semi-structured Mathematical Reasoning

Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

LLM-Enhanced Multi-Agent Reinforcement Learning for Unified Electric Vehicles-Charging Station-Grid Optimization in Public Charging Systems

FedLab: A Flexible Federated Learning Framework

Ego-Pose Estimation and Forecasting as Real-Time PD Control

A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution

Human-centered Explainable AI: Towards a Reflective Sociotechnical Approach

What Makes Adversarial Examples Transfer Across Deepfake Detectors?

Conflict-Averse Gradient Descent for Multi-task Learning

MemPO: Self-Memory Policy Optimization for Long-Horizon Agents

Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey

DuMateBench: Evaluating Autonomous Agents in Complex Real-World Workflows

Diffusion Language Models for Mobile Edge Agentic AI: Foundations, Applications, and Challenges

CHIP: CHannel Independence-based Pruning for Compact Neural Networks

Reasoning-Driven Multimodal LLM for Domain Generalization

ConsultMind:Towards Automated Diagnostic Consultation via Uncertainty-Aware Reasoning

Multiagent Evaluation under Incomplete Information

Keeping it Simple: Language Models can learn Complex Molecular Distributions

MMD GAN: Towards Deeper Understanding of Moment Matching Network

One-Class Classification: Taxonomy of Study and Review of Techniques

Risk-Aware World Model Predictive Control for Generalizable End-to-End Autonomous Driving

Data-driven rational function neural networks: a new method for generating analytical models of rock physics

Billion-scale Commodity Embedding for E-commerce Recommendation in Alibaba

OntoAligner-Ensemble: Voting-Based Fusion across Heterogeneous Ontology Alignment Techniques

Applications of Multi-Agent Reinforcement Learning in Future Internet: A Comprehensive Survey

How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring

A Decision-Theoretic Formalisation of Steganography With Applications to LLM Monitoring