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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19,441 to 19,500 of 27,756
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
Zheng Lin, Guanqiao Qu, Wei Wei +2
cs.LGcs.AIcs.DCarXiv:2403.13101v42024Parallel Sampling of Diffusion Models
Andy Shih, Suneel Belkhale, Stefano Ermon +2
cs.LGcs.AIarXiv:2305.16317v32023Epistemic Disturbance in the Graph Model for Conflict Resolution: State-Preserving Actions, Four-Valued Assessments, and the Distinction between Capability and Intention
Yukiko Kato
cs.GTcs.AIcs.MAarXiv:2610.11690v12026In-Context Unlearning: Language Models as Few Shot Unlearners
Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju
cs.LGcs.AIcs.CRarXiv:2310.07579v42023From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors
Zhengshen Zhang, Hao Li, Yalun Dai +10
cs.ROcs.AIcs.CVarXiv:2510.17439v32025PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents
Yinghui He, Yapei Chang, Khushi Bhardwaj +4
cs.AIarXiv:2609.40285v12026RoCo: Dialectic Multi-Robot Collaboration with Large Language Models
Zhao Mandi, Shreeya Jain, Shuran Song
cs.ROcs.AIcs.LGarXiv:2307.04738v12023Attacking the Trusted Imagination: Oracle-Level Integrity Attacks on Imagine-then-Act World Models
Linghan Chen, Kaiyan Ji, Minyu Guo
cs.LGcs.AIcs.CRarXiv:2606.22966v12026STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
Lei Bai, Lina Yao, Salil. S Kanhere +2
cs.LGcs.AIstat.MLarXiv:1905.10069v12019VIP5: Towards Multimodal Foundation Models for Recommendation
Shijie Geng, Juntao Tan, Shuchang Liu +2
cs.IRcs.AIcs.HCarXiv:2305.14302v22023ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents
Yong Du, Tongbo Chen, Zhengxi Lu +5
cs.CVcs.AIarXiv:2609.40253v22026Direct 3D-Aware Object Insertion via Decomposed Visual Proxies
Jingbo Gong, Yikai Wang, Yushi Lan +6
cs.CVcs.AIcs.LGarXiv:2606.06601v12026Memory Compression for High-Fanout Agent Sandboxes
Mengming Li, Ceyu XU, Qijun Zhang +4
cs.AIcs.OSarXiv:2609.11294v12026ExperienceIndex: Artifact-Grounded Memory
Peter Baile Chen, Geoffrey X. Yu, Xinming Liu +5
cs.CLcs.AIcs.IRarXiv:2610.10091v12026SEPO: Evidence-Grounded Prompt Optimization via Structural Editing
Xiaoyu Ma, Haoyue Liu, Yiwen Li +4
cs.AIarXiv:2608.28067v12026Does ChatGPT have Theory of Mind?
Bart Holterman, Kees van Deemter
cs.CLcs.AIarXiv:2305.14020v22023Constrained Command-Conditioned Reinforcement Learning with Bandit Strategy Selection in Real-Time Strategy Games
Nick Leenders, Roy Lindelauf, Joost van Oijen +1
cs.AIarXiv:2610.11663v12026META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti +1
cs.LGcs.AIstat.MLarXiv:1810.01270v12018Neural Multichannel Distant Speaker Diarization with Heavy-tailed Source Separation Model
Sicheng Mao, Baihan Li, Mathieu Fontaine +2
cs.SDcs.AIarXiv:2609.12154v12026Learning from Research: Toward Lifelong Agent Harness Evolution
Jingbo Yang, Kwei-Herng Lai, Xiaowen Wang +3
cs.AIarXiv:2609.40169v12026Scaling Inference-Efficient Language Models
Song Bian, Minghao Yan, Shivaram Venkataraman
cs.LGcs.AIcs.CLarXiv:2501.18107v22025DIAL-OPD: Learning More from Fewer Tokens in On-Policy Distillation
Anhao Zhao, Haoran Xin, Junlong Tong +5
cs.CLcs.AIarXiv:2610.11659v12026MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction
Zhibin Gou, Qingyan Guo, Yujiu Yang
cs.CLcs.AIarXiv:2305.12627v12023Can GNN be Good Adapter for LLMs?
Xuanwen Huang, Kaiqiao Han, Yang Yang +4
cs.CLcs.AIarXiv:2402.12984v12024Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
Alexander Trott, Stephan Zheng, Caiming Xiong +1
cs.AIarXiv:1911.01417v12019Content-based Unrestricted Adversarial Attack
Zhaoyu Chen, Bo Li, Shuang Wu +3
cs.CVcs.AIcs.CRarXiv:2305.10665v22023Guided Conditional Diffusion for Controllable Traffic Simulation
Ziyuan Zhong, Davis Rempe, Danfei Xu +5
cs.ROcs.AIcs.LGarXiv:2210.17366v12022Understanding Perturbed Parameter Ensemble Sensitivities Using A Contrastive Learning Approach
Da Fan, David John Gagne II, Gregory S Elsaesser +5
physics.ao-phcs.AIarXiv:2609.30420v12026Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
Claudio Novelli, Federico Casolari, Philipp Hacker +2
cs.CYcs.AIarXiv:2401.07348v42024SimCVD: Simple Contrastive Voxel-Wise Representation Distillation for Semi-Supervised Medical Image Segmentation
Chenyu You, Yuan Zhou, Ruihan Zhao +2
cs.CVcs.AIcs.LGarXiv:2108.06227v42021Geometry-Aware Test-Time Learning for Quantitative Spatial Reasoning
Gege Zhang, Shuaicheng Niu, Gang Dai +2
cs.CVcs.AIarXiv:2609.06004v12026Time-Series Representation Learning via Temporal and Contextual Contrasting
Emadeldeen Eldele, Mohamed Ragab, Zhenghua Chen +4
cs.LGcs.AIarXiv:2106.14112v12021Agent Error Dataset: Scaling 50,000 Error--Diagnosis Pairs for Failure Analysis and Error-Aware Post-Training
Kunlun Zhu, Xuyan Ye, Yibo Li +3
cs.AIcs.CLarXiv:2609.40111v12026Disentangled Shared Representations Improve Morpho-Transcriptomic Integration
Julian Ostermaier, Swann Ruyter, Reuben Dorent +1
cs.AIarXiv:2608.14355v12026Sparks of In Silico Cognitive Science: Theories from Simulated Data Can Generalize to Humans
Akshay K. Jagadish, Younes Strittmatter, Nori Jacoby +4
cs.AIarXiv:2609.08003v12026Language Models are Injective and Hence Invertible
Giorgos Nikolaou, Tommaso Mencattini, Donato Crisostomi +3
cs.LGcs.AIarXiv:2510.15511v42025DART: Distributional Adversarial Recurrent Training for Algorithm Learning
Hieu Tran Bao, Phung Thanh Dang, Pham Quang Nhat Minh +1
cs.LGcs.AIarXiv:2609.05988v12026AQAScore: Evaluating Semantic Alignment in Text-to-Audio Generation via Audio Question Answering
Chun-Yi Kuan, Kai-Wei Chang, Hung-yi Lee
eess.AScs.AIcs.CLarXiv:2601.14728v12026Analyzing Differentiable Fuzzy Logic Operators
Emile van Krieken, Erman Acar, Frank van Harmelen
cs.AIcs.LGcs.LOarXiv:2002.06100v22020PlotQA: Reasoning over Scientific Plots
Nitesh Methani, Pritha Ganguly, Mitesh M. Khapra +1
cs.CVcs.AIcs.CLarXiv:1909.00997v32019Dialectical language model evaluation: An initial appraisal of the commonsense spatial reasoning abilities of LLMs
Anthony G Cohn, Jose Hernandez-Orallo
cs.CLcs.AIarXiv:2304.11164v12023LongEmo: Towards Emotion Understanding and Reasoning in Long Videos
Shuo Zhang, Yifan Zhou, Han Wang +15
cs.CVcs.AIarXiv:2609.40079v12026Latent Diffusion Model without Variational Autoencoder
Minglei Shi, Haolin Wang, Wenzhao Zheng +6
cs.CVcs.AIarXiv:2510.15301v42025Black-box Dataset Ownership Verification via Backdoor Watermarking
Yiming Li, Mingyan Zhu, Xue Yang +3
cs.CRcs.AIcs.CVarXiv:2209.06015v22022QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks?
Belinda Z. Li, Been Kim, Zi Wang
cs.AIcs.CLcs.LGarXiv:2503.22674v22025LongForm: Effective Instruction Tuning with Reverse Instructions
Abdullatif Köksal, Timo Schick, Anna Korhonen +1
cs.CLcs.AIcs.LGarXiv:2304.08460v32023POWERPLAY: Training an Increasingly General Problem Solver by Continually Searching for the Simplest Still Unsolvable Problem
Jürgen Schmidhuber
cs.AIcs.LGarXiv:1112.5309v22011Grounding Time-Series Foundation Models in Digital Twin Topology for Predictive Maintenance
Sizhe Ma, Katherine A. Flanigan, Mario Bergés
eess.SPcs.AIarXiv:2609.40071v12026WorldDB: A Vector Graph-of-Worlds Memory Engine with Ontology-Aware Write-Time Reconciliation
Harish Santhanalakshmi Ganesan
cs.AIcs.CLarXiv:2604.18478v12026Metrics for Explainable AI: Challenges and Prospects
Robert R. Hoffman, Shane T. Mueller, Gary Klein +1
cs.AIarXiv:1812.04608v22018Active Attacks: Red-teaming LLMs via Adaptive Environments
Taeyoung Yun, Pierre-Luc St-Charles, Jinkyoo Park +2
cs.LGcs.AIarXiv:2509.21947v22025DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning
Shih-Yang Liu, Xin Dong, Ximing Lu +9
cs.LGcs.AIcs.CLarXiv:2510.15110v12025Nonlinear Discrete-Time Observers with Physics-Informed Neural Networks
Hector Vargas Alvarez, Gianluca Fabiani, Ioannis G. Kevrekidis +2
math.NAcs.AIcs.NAarXiv:2402.12360v12024VideoVLA: Video Generators Can Be Generalizable Robot Manipulators
Yichao Shen, Fangyun Wei, Zhiying Du +5
cs.ROcs.AIcs.CVarXiv:2512.06963v12025On the Power of Over-parametrization in Neural Networks with Quadratic Activation
Simon S. Du, Jason D. Lee
cs.LGcs.AImath.OCarXiv:1803.01206v22018DeepSeek vs. ChatGPT vs. Claude: A Comparative Study for Scientific Computing and Scientific Machine Learning Tasks
Qile Jiang, Zhiwei Gao, George Em Karniadakis
cs.LGcs.AIarXiv:2502.17764v22025Exponential improvements for quantum-accessible reinforcement learning
Vedran Dunjko, Yi-Kai Liu, Xingyao Wu +1
quant-phcs.AIcs.NEarXiv:1710.11160v32017WARP: A Unified Benchmark for Invisible Image Watermarking -- Robustness and Protection Against Attacks
Khaled Abud, Aleksey Yakushev, Aleksandr Akimenkov +9
cs.CVcs.AIcs.MMarXiv:2609.40031v12026From Pixels to Words -- Towards Native Vision-Language Primitives at Scale
Haiwen Diao, Mingxuan Li, Silei Wu +6
cs.CVcs.AIarXiv:2510.14979v22025What Does Multi-Harness RL Learn? Credit Assignment and Portability in Coding Agents
Chenqian Le, Jiayi Cheng, Qijia He +3
cs.AIarXiv:2609.04518v12026