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)

16,321 to 16,380 of 27,557

Ecology of AI Agents: Collaboration Creates a Population Threshold for Takeoff
Erin Crawley, Hidenori Tanaka
cs.AIcond-mat.dis-nncs.MAarXiv:2610.12436v12026
VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning
Guanxing Lu, Wenkai Guo, Chubin Zhang +5
cs.ROcs.AIarXiv:2505.18719v12025
Adversarial Robustness Against the Union of Multiple Perturbation Models
Pratyush Maini, Eric Wong, J. Zico Kolter
cs.LGcs.AIstat.MLarXiv:1909.04068v22019
MultiVerS: Improving scientific claim verification with weak supervision and full-document context
David Wadden, Kyle Lo, Lucy Lu Wang +3
cs.CLcs.AIarXiv:2112.01640v22021
RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition
Xiangyu Gao, Guanbin Xing, Sumit Roy +1
eess.SPcs.AIcs.CVarXiv:2011.08981v22020
MAIA: Multi-Agent Intent Articulation for Requirement Discovery in Art Commissions
Yu-Chao Wang, Yanhong Lu, Yingjie Victor Chen +1
cs.HCcs.AIarXiv:2609.12097v12026
SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images
Chen-Hsuan Lin, Chaoyang Wang, Simon Lucey
cs.CVcs.AIcs.LGarXiv:2010.10505v12020
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai, Qizhe Xie, Hanxiao Liu +2
cs.CLcs.AIcs.LGarXiv:1704.04683v52017
DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation
Chen Wang, Haochen Shi, Weizhuo Wang +3
cs.ROcs.AIcs.CVarXiv:2403.07788v22024
Regularized Evolution for Image Classifier Architecture Search
Esteban Real, Alok Aggarwal, Yanping Huang +1
cs.NEcs.AIcs.CVarXiv:1802.01548v72018
Syndrome, Synergy, and Safety: Structured Reasoning and Knowledge-Driven Alignment for TCM Prescription Generation
Zheng Chen, ZhiCheng Du, Haoxuan Li +1
cs.CLcs.AIarXiv:2609.25755v12026
A Survey on Neural Network Interpretability
Yu Zhang, Peter Tiňo, Aleš Leonardis +1
cs.LGcs.AIarXiv:2012.14261v32020
Knowing When Thinking Is Not Enough: Teaching Small Reasoning Models to Reason Beyond Their Parametric Knowledge
Chanuk Lee, Minki Kang, Sangwoo Park +3
cs.AIcs.CLarXiv:2609.34327v12026
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras
Ye Yuan, Umar Iqbal, Pavlo Molchanov +2
cs.CVcs.AIcs.GRarXiv:2112.01524v22021
Design Space for Graph Neural Networks
Jiaxuan You, Rex Ying, Jure Leskovec
cs.LGcs.AIcs.SIarXiv:2011.08843v22020
Auto-weighted Multi-view Clustering for Large-scale Data
Xinhang Wan, Xinwang Liu, Jiyuan Liu +6
cs.LGcs.AIcs.CVarXiv:2303.01983v12023
PMTRM: Pseudo-Memory Temporal Re-encoding Module for Embodied Policy Learning
Changchuan Yang, Haoxuan Xu, Wenbo Chen +5
cs.ROcs.AIarXiv:2610.11168v12026
Think Right: Learning to Mitigate Under-Over Thinking via Adaptive, Attentive Compression
Joykirat Singh, Justin Chih-Yao Chen, Archiki Prasad +3
cs.LGcs.AIcs.CLarXiv:2510.01581v12025
Machine Unlearning
Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo +5
cs.CRcs.AIcs.LGarXiv:1912.03817v32019
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning
Tianmin Shu, Caiming Xiong, Richard Socher
cs.AIarXiv:1712.07294v12017
ORPO: Monolithic Preference Optimization without Reference Model
Jiwoo Hong, Noah Lee, James Thorne
cs.CLcs.AIarXiv:2403.07691v22024
Dream2Flow: Bridging Video Generation and Open-World Manipulation with 3D Object Flow
Karthik Dharmarajan, Wenlong Huang, Jiajun Wu +2
cs.ROcs.AIcs.CVarXiv:2512.24766v12025
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
Sunipa Dev, Tao Li, Jeff M Phillips +1
cs.CLcs.AIcs.LGarXiv:2007.00049v22020
Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation
Lianghao Xia, Chao Huang, Yong Xu +5
cs.IRcs.AIarXiv:2110.04000v12021
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
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello, Stefan Bauer, Mario Lucic +4
cs.LGcs.AIstat.MLarXiv:1811.12359v42018
Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts
Kaivalya Rawal, Ece Kamar, Himabindu Lakkaraju
cs.LGcs.AIarXiv:2012.11788v32020
PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents
Ke Yang, Zixi Chen, Xuan He +6
cs.CLcs.AIcs.IRarXiv:2603.03296v12026
Trees to Flows and Back: Unifying Decision Trees and Diffusion Models
Sai Niranjan Ramachandran, Suvrit Sra
cs.LGcond-mat.stat-mechcs.AIarXiv:2605.00414v22026
DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers
Dahye Kim, Deepti Ghadiyaram, Raghudeep Gadde
cs.CVcs.AIarXiv:2602.16968v12026
Diachronic Embedding for Temporal Knowledge Graph Completion
Rishab Goel, Seyed Mehran Kazemi, Marcus Brubaker +1
cs.LGcs.AIstat.MLarXiv:1907.03143v12019
Generating Visual Explanations
Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach +3
cs.CVcs.AIcs.CLarXiv:1603.08507v12016
Extrapolation and learning equations
Georg Martius, Christoph H. Lampert
cs.LGcs.AIarXiv:1610.02995v12016
Variational Probabilistic Inference and the QMR-DT Network
T. S. Jaakkola, M. I. Jordan
cs.AIarXiv:1105.5462v12011
CentralNet: a Multilayer Approach for Multimodal Fusion
Valentin Vielzeuf, Alexis Lechervy, Stéphane Pateux +1
cs.AIcs.CVcs.MMarXiv:1808.07275v12018
Baba is LLM: Reasoning in a Game with Dynamic Rules
Fien van Wetten, Aske Plaat, Max van Duijn
cs.AIarXiv:2506.19095v12025
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Kashif Ahmad, Majdi Maabreh, Mohamed Ghaly +3
cs.CYcs.AIarXiv:2012.09110v42020
DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning
Kevin Ellis, Catherine Wong, Maxwell Nye +6
cs.AIcs.LGarXiv:2006.08381v12020
Discovering Multiagent Learning Algorithms with Large Language Models
Zun Li, John Schultz, Daniel Hennes +1
cs.GTcs.AIcs.MAarXiv:2602.16928v32026
4DCodeBench: Benchmarking Agents on Inverse Graphics of Dynamic Scenes
Ruihong Shen, Žiga Kovačič, Peter Kulits +6
cs.CVcs.AIcs.GRarXiv:2610.03715v12026
Communicative Message Passing for Inductive Relation Reasoning
Sijie Mai, Shuangjia Zheng, Yuedong Yang +1
cs.AIarXiv:2012.08911v22020
Deep Ideation: Designing LLM Agents to Generate Novel Research Ideas on Scientific Concept Network
Keyu Zhao, Weiquan Lin, Qirui Zheng +2
cs.AIarXiv:2511.02238v12025
Poincaré Embeddings for Learning Hierarchical Representations
Maximilian Nickel, Douwe Kiela
cs.AIcs.LGstat.MLarXiv:1705.08039v22017
Safe Policy Improvement with Baseline Bootstrapping
Romain Laroche, Paul Trichelair, Rémi Tachet des Combes
cs.LGcs.AIstat.MLarXiv:1712.06924v52017
SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation
Kushal Kedia, Tyler Ga Wei Lum, Jeannette Bohg +1
cs.ROcs.AIarXiv:2602.16863v22026
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
Liang Chen, Haozhe Zhao, Tianyu Liu +4
cs.CVcs.AIcs.CLarXiv:2403.06764v32024
Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models
Xiwen Wei, Mustafa Munir, Radu Marculescu
cs.LGcs.AIarXiv:2512.03125v12025
Interactive Post-Training for Vision-Language-Action Models
Shuhan Tan, Kairan Dou, Yue Zhao +1
cs.LGcs.AIcs.CVarXiv:2505.17016v12025
Inject a Turn, Not a Token: Learning Where to Redirect LLM Reasoning for Self-Correction
Jiwon Jeon, Myungsik Cho, Jeonghye Kim +1
cs.CLcs.AIarXiv:2610.13672v12026
Learning Multiagent Communication with Backpropagation
Sainbayar Sukhbaatar, Arthur Szlam, Rob Fergus
cs.LGcs.AIarXiv:1605.07736v22016
Efficient Sharpness-aware Minimization for Improved Training of Neural Networks
Jiawei Du, Hanshu Yan, Jiashi Feng +4
cs.AIcs.CVcs.LGarXiv:2110.03141v22021
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT
Jiawei Zhang
cs.AIcs.LGarXiv:2304.11116v32023
BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations
Xingyu Zhao, Wei Huang, Xiaowei Huang +2
cs.AIarXiv:2012.03058v52020
Simple Baselines are Competitive with Code Evolution
Yonatan Gideoni, Sebastian Risi, Yarin Gal
cs.AIcs.LGarXiv:2602.16805v12026
CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims
Thomas Diggelmann, Jordan Boyd-Graber, Jannis Bulian +2
cs.CLcs.AIarXiv:2012.00614v22020
A Statistical Audit of Physical AI Benchmark Redundancy
Zaruhi Navasardyan, Hrant Davtyan
cs.ROcs.AIarXiv:2608.25940v12026
PLAS: Latent Action Space for Offline Reinforcement Learning
Wenxuan Zhou, Sujay Bajracharya, David Held
cs.ROcs.AIcs.LGarXiv:2011.07213v12020
Academic Writing with GPT-3.5: Reflections on Practices, Efficacy and Transparency
Oğuz 'Oz' Buruk
cs.CLcs.AIcs.HCarXiv:2304.11079v12023
Research on Key Technologies for Cross-Cloud Federated Training of Large Language Models
Haowei Yang, Mingxiu Sui, Shaobo Liu +3
cs.LGcs.AIcs.CRarXiv:2410.19130v22024
Low-Dimensional and Transversely Curved Optimization Dynamics in Grokking
Yongzhong Xu
cs.LGcs.AIarXiv:2602.16746v32026

Artificial Intelligence

Ecology of AI Agents: Collaboration Creates a Population Threshold for Takeoff

VLA-RL: Towards Masterful and General Robotic Manipulation with Scalable Reinforcement Learning

Adversarial Robustness Against the Union of Multiple Perturbation Models

MultiVerS: Improving scientific claim verification with weak supervision and full-document context

RAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition

MAIA: Multi-Agent Intent Articulation for Requirement Discovery in Art Commissions

SDF-SRN: Learning Signed Distance 3D Object Reconstruction from Static Images

RACE: Large-scale ReAding Comprehension Dataset From Examinations

DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation

Regularized Evolution for Image Classifier Architecture Search

Syndrome, Synergy, and Safety: Structured Reasoning and Knowledge-Driven Alignment for TCM Prescription Generation

A Survey on Neural Network Interpretability

Knowing When Thinking Is Not Enough: Teaching Small Reasoning Models to Reason Beyond Their Parametric Knowledge

GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras

Design Space for Graph Neural Networks

Auto-weighted Multi-view Clustering for Large-scale Data

PMTRM: Pseudo-Memory Temporal Re-encoding Module for Embodied Policy Learning

Think Right: Learning to Mitigate Under-Over Thinking via Adaptive, Attentive Compression

Machine Unlearning

Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning

ORPO: Monolithic Preference Optimization without Reference Model

Dream2Flow: Bridging Video Generation and Open-World Manipulation with 3D Object Flow

OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings

Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation

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

Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations

Algorithmic Recourse in the Wild: Understanding the Impact of Data and Model Shifts

PlugMem: A Task-Agnostic Plugin Memory Module for LLM Agents

Trees to Flows and Back: Unifying Decision Trees and Diffusion Models

DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers

Diachronic Embedding for Temporal Knowledge Graph Completion

Generating Visual Explanations

Extrapolation and learning equations

Variational Probabilistic Inference and the QMR-DT Network

CentralNet: a Multilayer Approach for Multimodal Fusion

Baba is LLM: Reasoning in a Game with Dynamic Rules

Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges

DreamCoder: Growing generalizable, interpretable knowledge with wake-sleep Bayesian program learning

Discovering Multiagent Learning Algorithms with Large Language Models

4DCodeBench: Benchmarking Agents on Inverse Graphics of Dynamic Scenes

Communicative Message Passing for Inductive Relation Reasoning

Deep Ideation: Designing LLM Agents to Generate Novel Research Ideas on Scientific Concept Network

Poincaré Embeddings for Learning Hierarchical Representations

Safe Policy Improvement with Baseline Bootstrapping

SimToolReal: An Object-Centric Policy for Zero-Shot Dexterous Tool Manipulation

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models

Mitigating Intra- and Inter-modal Forgetting in Continual Learning of Unified Multimodal Models

Interactive Post-Training for Vision-Language-Action Models

Inject a Turn, Not a Token: Learning Where to Redirect LLM Reasoning for Self-Correction

Learning Multiagent Communication with Backpropagation

Efficient Sharpness-aware Minimization for Improved Training of Neural Networks

Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT

BayLIME: Bayesian Local Interpretable Model-Agnostic Explanations

Simple Baselines are Competitive with Code Evolution

CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims

A Statistical Audit of Physical AI Benchmark Redundancy

PLAS: Latent Action Space for Offline Reinforcement Learning

Academic Writing with GPT-3.5: Reflections on Practices, Efficacy and Transparency

Research on Key Technologies for Cross-Cloud Federated Training of Large Language Models

Low-Dimensional and Transversely Curved Optimization Dynamics in Grokking