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.

Search paper metadata (including unsummarized papers)

4,561 to 4,620 of 15,246

Atom of Thoughts for Markov LLM Test-Time Scaling
Fengwei Teng, Quan Shi, Zhaoyang Yu +4
cs.CLcs.AIcs.LGarXiv:2502.12018v42025
MAPP: a Scalable Multi-Agent Path Planning Algorithm with Tractability and Completeness Guarantees
Ko-Hsin Cindy Wang, Adi Botea
cs.AIarXiv:1401.3905v12014
Geometry-aware Latent Autoregressive Generative Model for PDEs in Complex Domains
Zi Wang, Minghui Xu, Tapan Mukerji
cs.LGcs.AIarXiv:2609.00297v12026
CoLT-Drive: Counterfactual Long-Tail Benchmarking and Knowledge-Preserving Adaptation for Driving Affordance Prediction
Zhengxu Tang, Guofeng Cui, Ziyu Gong +8
cs.CVcs.AIcs.CLarXiv:2609.00242v12026
UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent
Jianke Zhang, Yanjiang Guo, Yucheng Hu +3
cs.CVcs.AIarXiv:2501.18867v32025
Maximizing Confidence Alone Improves Reasoning
Mihir Prabhudesai, Lili Chen, Alex Ippoliti +3
cs.LGcs.AIarXiv:2505.22660v42025
Neural probabilistic motor primitives for humanoid control
Josh Merel, Leonard Hasenclever, Alexandre Galashov +5
cs.LGcs.AIcs.ROarXiv:1811.11711v22018
Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models
Ruikang Liu, Yuxuan Sun, Manyi Zhang +5
cs.CLcs.AIarXiv:2504.04823v22025
Learning Neural Causal Models from Unknown Interventions
Nan Rosemary Ke, Olexa Bilaniuk, Anirudh Goyal +6
stat.MLcs.AIcs.LGarXiv:1910.01075v22019
How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks
Longju Bai, Zhemin Huang, Xingyao Wang +5
cs.CLcs.AIcs.CYarXiv:2604.22750v22026
Degradation-Aware Feature Perturbation for All-in-One Image Restoration
Xiangpeng Tian, Xiangyu Liao, Xiao Liu +2
cs.CVcs.AIarXiv:2505.12630v12025
Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning
Shulin Tian, Ruiqi Wang, Hongming Guo +7
cs.CVcs.AIarXiv:2506.13654v12025
Hard Sample Aware Network for Contrastive Deep Graph Clustering
Yue Liu, Xihong Yang, Sihang Zhou +7
cs.LGcs.AIarXiv:2212.08665v32022
TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion
Jiapeng Wu, Meng Cao, Jackie Chi Kit Cheung +1
cs.LGcs.AIcs.CLarXiv:2010.03526v12020
Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning
Xinbin Yuan, Jian Zhang, Kaixin Li +8
cs.AIarXiv:2505.12370v22025
Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?
Zhiyuan Zeng, Qinyuan Cheng, Zhangyue Yin +2
cs.LGcs.AIcs.CLarXiv:2502.12215v22025
A General Non-Probabilistic Theory of Inductive Reasoning
Wolfgang Spohn
cs.AIarXiv:1304.2375v12013
Dynamic Dual-Granularity Skill Bank for Agentic RL
Songjun Tu, Chengdong Xu, Qichao Zhang +5
cs.AIarXiv:2603.28716v22026
Commonsense for Generative Multi-Hop Question Answering Tasks
Lisa Bauer, Yicheng Wang, Mohit Bansal
cs.CLcs.AIarXiv:1809.06309v32018
AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench
Edan Toledo, Karen Hambardzumyan, Martin Josifoski +22
cs.AIcs.LGarXiv:2507.02554v22025
Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification
Ekaterina Fadeeva, Aleksandr Rubashevskii, Artem Shelmanov +9
cs.CLcs.AIcs.LGarXiv:2403.04696v22024
ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents
Qiuchen Wang, Ruixue Ding, Zehui Chen +4
cs.CVcs.AIcs.CLarXiv:2502.18017v22025
Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation
Jiaxing Yan, Hong Zhao, Penghui Bu +1
cs.CVcs.AIcs.LGarXiv:2112.13047v12021
BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion Models
Yuming Li, Yikai Wang, Yuying Zhu +4
cs.CVcs.AIcs.LGarXiv:2509.06040v52025
Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs
Jinyan Su, Jennifer Healey, Preslav Nakov +1
cs.CLcs.AIarXiv:2505.00127v12025
ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient Reasoning
Jingyang Yi, Jiazheng Wang, Sida Li
cs.AIarXiv:2504.21370v42025
NFormer: Robust Person Re-identification with Neighbor Transformer
Haochen Wang, Jiayi Shen, Yongtuo Liu +2
cs.CVcs.AIarXiv:2204.09331v12022
Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package
Marco Scutari
stat.COcs.AIcs.MSarXiv:1406.7648v22014
Improving the Diffusability of Autoencoders
Ivan Skorokhodov, Sharath Girish, Benran Hu +5
cs.CVcs.AIcs.LGarXiv:2502.14831v32025
MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers
Chaithanya Bandi, Razvan-Gabriel Dumitru, Ben Hertzberg +20
cs.SEcs.AIarXiv:2602.00933v32026
A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization
Giorgio Stampa, Marta Arias, David Sanchez-Charles +2
cs.NIcs.AIarXiv:1709.07080v12017
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
Aaron Havens, Benjamin Kurt Miller, Bing Yan +10
cs.LGcs.AIarXiv:2504.11713v32025
"Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills in the Wild
Yi Liu, Zhihao Chen, Yanjun Zhang +4
cs.CRcs.AIcs.CLarXiv:2602.06547v42026
SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation
Xingtong Yu, Zechuan Gong, Chang Zhou +2
cs.CLcs.AIarXiv:2502.05424v22025
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Jing Liu, Yao Du, Kun Yang +8
cs.DCcs.AIcs.LGarXiv:2505.01821v52025
Don't be lazy: CompleteP enables compute-efficient deep transformers
Nolan Dey, Bin Claire Zhang, Lorenzo Noci +6
cs.LGcs.AIarXiv:2505.01618v42025
SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning
Rui Pan, Yinwei Dai, Zhihao Zhang +3
cs.LGcs.AIarXiv:2504.07891v22025
DDT: Decoupled Diffusion Transformer
Shuai Wang, Zhi Tian, Weilin Huang +1
cs.CVcs.AIarXiv:2504.05741v22025
SEAgent: Self-Evolving Computer Use Agent with Autonomous Learning from Experience
Zeyi Sun, Ziyu Liu, Yuhang Zang +5
cs.AIcs.CLcs.CVarXiv:2508.04700v22025
Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
Felix Friedrich, Manuel Brack, Lukas Struppek +4
cs.LGcs.AIcs.CVarXiv:2302.10893v32023
JSONSchemaBench: A Rigorous Benchmark of Structured Outputs for Language Models
Saibo Geng, Hudson Cooper, Michał Moskal +6
cs.CLcs.AIarXiv:2501.10868v32025
Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification
Kecheng Zheng, Cuiling Lan, Wenjun Zeng +2
cs.CVcs.AIarXiv:2012.08733v22020
Radial Attention: $O(n\log n)$ Sparse Attention with Energy Decay for Long Video Generation
Xingyang Li, Muyang Li, Tianle Cai +11
cs.CVcs.AIcs.LGarXiv:2506.19852v22025
Rethinking Learnability in Offline Data-driven Optimization
Chao Qian, Chen-Guang Wang, Rong-Xi Tan +1
cs.LGcs.AIcs.NEarXiv:2609.01493v22026
Fully Parameterized Quantile Function for Distributional Reinforcement Learning
Derek Yang, Li Zhao, Zichuan Lin +3
cs.LGcs.AIstat.MLarXiv:1911.02140v32019
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects
Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf +1
cs.LGcs.AIstat.MLarXiv:2010.04050v22020
ReasonIR: Training Retrievers for Reasoning Tasks
Rulin Shao, Rui Qiao, Varsha Kishore +8
cs.AIcs.CLcs.IRarXiv:2504.20595v12025
HiveTraceGuard-Pro: A Compact Generative Guardrail for Prompt Injection, Jailbreaks, and Adversarial Obfuscation
Nikita Oblakov, Sabrina Sadiekh, Evgeniy Kokuykin
cs.CRcs.AIarXiv:2609.01046v12026
TxGemma: Efficient and Agentic LLMs for Therapeutics
Eric Wang, Samuel Schmidgall, Paul F. Jaeger +6
cs.AIcs.CLcs.LGarXiv:2504.06196v12025
Interactive Debugging and Steering of Multi-Agent AI Systems
Will Epperson, Gagan Bansal, Victor Dibia +4
cs.MAcs.AIcs.HCarXiv:2503.02068v12025
Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments
Hongjin Su, Ruoxi Sun, Jinsung Yoon +3
cs.LGcs.AIarXiv:2501.10893v12025
VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos
Xubin Ren, Lingrui Xu, Long Xia +3
cs.IRcs.AIcs.CVarXiv:2502.01549v12025
Who Judges the Judges? A Chinese Safety QA Benchmark for Evaluating LLM Responses and Safety Judges
Rui Yang, Shuang Huang, Junhua Liu +7
cs.CRcs.AIarXiv:2609.01210v12026
Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink
Ranjie Duan, Xiaofeng Mao, A. K. Qin +4
cs.LGcs.AIcs.CRarXiv:2103.06504v12021
Self-Training Elicits Concise Reasoning in Large Language Models
Tergel Munkhbat, Namgyu Ho, Seo Hyun Kim +3
cs.CLcs.AIcs.LGarXiv:2502.20122v32025
Causal Evidentiary Governance for High-Risk Machine Learning Systems
Samah Kareem, Barış Çeliktaş
cs.CYcs.AIarXiv:2609.01040v12026
AI-Researcher: Autonomous Scientific Innovation
Jiabin Tang, Lianghao Xia, Zhonghang Li +1
cs.AIarXiv:2505.18705v12025
Vision-Language-Guided Pseudo-Labels for Unsupervised Domain Adaptation in Semantic Segmentation for Waste Sorting
Udo Schlegel, Shubhangi, Gabriel Dax +3
cs.CVcs.AIcs.LGarXiv:2609.00898v12026
EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation
Qing Zhao, Haowei Li, Weijian Deng +2
cs.AIarXiv:2609.01526v12026
FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems
Jeongsol Kim, Bryan Sangwoo Kim, Jong Chul Ye
cs.CVcs.AIcs.LGarXiv:2503.08136v12025

Artificial Intelligence

Atom of Thoughts for Markov LLM Test-Time Scaling

MAPP: a Scalable Multi-Agent Path Planning Algorithm with Tractability and Completeness Guarantees

Geometry-aware Latent Autoregressive Generative Model for PDEs in Complex Domains

CoLT-Drive: Counterfactual Long-Tail Benchmarking and Knowledge-Preserving Adaptation for Driving Affordance Prediction

UP-VLA: A Unified Understanding and Prediction Model for Embodied Agent

Maximizing Confidence Alone Improves Reasoning

Neural probabilistic motor primitives for humanoid control

Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models

Learning Neural Causal Models from Unknown Interventions

How Do AI Agents Spend Your Money? Analyzing and Predicting Token Consumption in Agentic Coding Tasks

Degradation-Aware Feature Perturbation for All-in-One Image Restoration

Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning

Hard Sample Aware Network for Contrastive Deep Graph Clustering

TeMP: Temporal Message Passing for Temporal Knowledge Graph Completion

Enhancing Visual Grounding for GUI Agents via Self-Evolutionary Reinforcement Learning

Revisiting the Test-Time Scaling of o1-like Models: Do they Truly Possess Test-Time Scaling Capabilities?

A General Non-Probabilistic Theory of Inductive Reasoning

Dynamic Dual-Granularity Skill Bank for Agentic RL

Commonsense for Generative Multi-Hop Question Answering Tasks

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench

Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification

ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents

Channel-Wise Attention-Based Network for Self-Supervised Monocular Depth Estimation

BranchGRPO: Stable and Efficient GRPO with Structured Branching in Diffusion Models

Between Underthinking and Overthinking: An Empirical Study of Reasoning Length and correctness in LLMs

ShorterBetter: Guiding Reasoning Models to Find Optimal Inference Length for Efficient Reasoning

NFormer: Robust Person Re-identification with Neighbor Transformer

Bayesian Network Constraint-Based Structure Learning Algorithms: Parallel and Optimised Implementations in the bnlearn R Package

Improving the Diffusability of Autoencoders

MCP-Atlas: A Large-Scale Benchmark for Tool-Use Competency with Real MCP Servers

A Deep-Reinforcement Learning Approach for Software-Defined Networking Routing Optimization

Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching

"Do Not Mention This to the User": Detecting and Understanding Malicious Agent Skills in the Wild

SAMGPT: Text-free Graph Foundation Model for Multi-domain Pre-training and Cross-domain Adaptation

Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey

Don't be lazy: CompleteP enables compute-efficient deep transformers

SpecReason: Fast and Accurate Inference-Time Compute via Speculative Reasoning

DDT: Decoupled Diffusion Transformer

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

Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness

JSONSchemaBench: A Rigorous Benchmark of Structured Outputs for Language Models

Exploiting Sample Uncertainty for Domain Adaptive Person Re-Identification

Radial Attention: $O(n\log n)$ Sparse Attention with Energy Decay for Long Video Generation

Rethinking Learnability in Offline Data-driven Optimization

Fully Parameterized Quantile Function for Distributional Reinforcement Learning

A survey of algorithmic recourse: definitions, formulations, solutions, and prospects

ReasonIR: Training Retrievers for Reasoning Tasks

HiveTraceGuard-Pro: A Compact Generative Guardrail for Prompt Injection, Jailbreaks, and Adversarial Obfuscation

TxGemma: Efficient and Agentic LLMs for Therapeutics

Interactive Debugging and Steering of Multi-Agent AI Systems

Learn-by-interact: A Data-Centric Framework for Self-Adaptive Agents in Realistic Environments

VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos

Who Judges the Judges? A Chinese Safety QA Benchmark for Evaluating LLM Responses and Safety Judges

Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink

Self-Training Elicits Concise Reasoning in Large Language Models

Causal Evidentiary Governance for High-Risk Machine Learning Systems

AI-Researcher: Autonomous Scientific Innovation

Vision-Language-Guided Pseudo-Labels for Unsupervised Domain Adaptation in Semantic Segmentation for Waste Sorting

EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation

FlowDPS: Flow-Driven Posterior Sampling for Inverse Problems