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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17,221 to 17,280 of 28,038

PlayWorld: Learning Robot World Models from Autonomous Play
Tenny Yin, Zhiting Mei, Zhonghe Zheng +8
cs.ROcs.AIarXiv:2603.09030v32026
How Local Mixing Encodes Relative Position in Global NoPE Attention
Cutter Dawes, Nick Alonso, Tom Figliolia +1
cs.CLcs.AIcs.LGarXiv:2609.38109v12026
EULER: Exploring Underused Links with Evidence-Checked Return for Multi-Agent Mathematical Discovery
Ren Zhenzhuo
cs.AIcs.MAarXiv:2609.00032v12026
Inducing Process Supervision from Outcome-Only Reinforcement Learning
Shengda Fan, Xin Cong, Zhong Zhang +2
cs.LGcs.AIarXiv:2609.36641v12026
From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models
Ashay Athalye, Nishanth Kumar, Tom Silver +4
cs.ROcs.AIcs.CVarXiv:2501.00296v42024
BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
Bowen Wen, Jonathan Tremblay, Valts Blukis +6
cs.CVcs.AIcs.GRarXiv:2303.14158v12023
Formal Verification of Neural Network Controlled Autonomous Systems
Xiaowu Sun, Haitham Khedr, Yasser Shoukry
cs.AIcs.ROeess.SYarXiv:1810.13072v12018
Asking Clarifying Questions in Open-Domain Information-Seeking Conversations
Mohammad Aliannejadi, Hamed Zamani, Fabio Crestani +1
cs.CLcs.AIcs.IRarXiv:1907.06554v12019
Symbolic Discovery of Optimization Algorithms
Xiangning Chen, Chen Liang, Da Huang +9
cs.LGcs.AIcs.CLarXiv:2302.06675v42023
Three Factors Influencing Minima in SGD
Stanisław Jastrzębski, Zachary Kenton, Devansh Arpit +4
cs.LGcs.AIcs.CVarXiv:1711.04623v32017
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor
Tuomas Haarnoja, Aurick Zhou, Pieter Abbeel +1
cs.LGcs.AIstat.MLarXiv:1801.01290v22018
Meta-Multi-Agent Reinforcement Learning for Fast Adaptation of Interactive Policies with Applications to Autonomous Driving
Huiwen Yan, Kyriakos G. Vamvoudakis, Mushuang Liu
cs.AIcs.MAcs.SYarXiv:2610.00705v12026
An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation
Max Schäfer, Sarah Nadi, Aryaz Eghbali +1
cs.SEcs.AIarXiv:2302.06527v42023
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
Seonghyeon Ye, Doyoung Kim, Sungdong Kim +6
cs.CLcs.AIarXiv:2307.10928v42023
Batch Policy Learning under Constraints
Hoang M. Le, Cameron Voloshin, Yisong Yue
cs.LGcs.AImath.OCarXiv:1903.08738v12019
Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations
Maziar Raissi, Paris Perdikaris, George Em Karniadakis
cs.AIcs.LGmath.DSarXiv:1711.10561v12017
The Immutable Past: Formalizing State Mutability and Conflict Resolution in Mutable RAG
Hamed HaddadPajouh, Amir AmiriTabat
cs.CLcs.AIarXiv:2609.16073v12026
LightNav-0: Eliciting VLM Spatial Intelligence for Generalist Embodied Navigation
Shaoan Wang, Aocheng Luo, Fei Huang +17
cs.ROcs.AIarXiv:2608.30935v12026
Suphx: Mastering Mahjong with Deep Reinforcement Learning
Junjie Li, Sotetsu Koyamada, Qiwei Ye +7
cs.AIarXiv:2003.13590v22020
AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement
Pranjal Aggarwal, Bryan Parno, Sean Welleck
cs.LGcs.AIarXiv:2412.06176v12024
Reinforcement Learning from Intermediate Renders for Image-to-Code Generation
Omri Kaduri, Kate Feingold, Phillip Isola +1
cs.CVcs.AIarXiv:2609.34587v12026
Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Amin Rakhsha, Goran Radanovic, Rati Devidze +2
cs.LGcs.AIcs.CRarXiv:2003.12909v22020
RankCert: When Can Simulated Learners Safely Select an AI Tutor? Robust Decision Certification Under Structural Uncertainty
Nizam Kadir
cs.AIcs.CYcs.LGarXiv:2609.26069v12026
Auto-Keras: An Efficient Neural Architecture Search System
Haifeng Jin, Qingquan Song, Xia Hu
cs.LGcs.AIstat.MLarXiv:1806.10282v32018
Beyond Temporal Proximity: Explanatory World Models for Credit Assignment in Reinforcement Learning
Oriol Corcoll, Qiyao Wei, Ciarán Mark Gilligan-Lee
cs.LGcs.AIcs.IRarXiv:2610.13504v12026
Small Foundation Models of Human Cognition and Behaviour
Nick Oh, Fernand Gobet
cs.AIcs.CYarXiv:2608.05224v32026
The Relevance of Bayesian Layer Positioning to Model Uncertainty in Deep Bayesian Active Learning
Jiaming Zeng, Adam Lesnikowski, Jose M. Alvarez
cs.LGcs.AIstat.MLarXiv:1811.12535v12018
From Statistical Relational to Neuro-Symbolic Artificial Intelligence
Luc De Raedt, Sebastijan Dumančić, Robin Manhaeve +1
cs.AIarXiv:2003.08316v22020
Few-Shot Knowledge Graph Completion
Chuxu Zhang, Huaxiu Yao, Chao Huang +3
cs.CLcs.AIcs.LGarXiv:1911.11298v12019
ProjE: Embedding Projection for Knowledge Graph Completion
Baoxu Shi, Tim Weninger
cs.AIstat.MLarXiv:1611.05425v12016
Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods
Ferdinando Fioretto, Terrence W. K. Mak, Pascal Van Hentenryck
eess.SPcs.AIcs.LGarXiv:1909.10461v22019
In-Context Learning with Many Demonstration Examples
Mukai Li, Shansan Gong, Jiangtao Feng +4
cs.CLcs.AIarXiv:2302.04931v12023
A Benchmark for Systematic Generalization in Grounded Language Understanding
Laura Ruis, Jacob Andreas, Marco Baroni +2
cs.CLcs.AIcs.LGarXiv:2003.05161v22020
A mathematical theory of semantic development in deep neural networks
Andrew M. Saxe, James L. McClelland, Surya Ganguli
cs.LGcs.AIq-bio.NCarXiv:1810.10531v12018
Defence against the dark arts of distillation: Unsupervised discovery of subliminal learning
Joseph Egan, Ciarán M. Gilligan-Lee, Michael O'Riordan +1
stat.MLcs.AIcs.LGarXiv:2610.13536v12026
Dual-Cache Latent Space Communication between Heterogeneous Language Models
Jiyao Liu, Qi Zhang, Yaoyi Jia +2
cs.AIcs.LGarXiv:2608.20617v12026
ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills
Jiayuan Gu, Fanbo Xiang, Xuanlin Li +12
cs.ROcs.AIarXiv:2302.04659v12023
End-to-End United Video Dehazing and Detection
Boyi Li, Xiulian Peng, Zhangyang Wang +2
cs.CVcs.AIcs.LGarXiv:1709.03919v12017
Extensions of Simple Conceptual Graphs: the Complexity of Rules and Constraints
J. F. Baget, M. L. Mugnier
cs.AIarXiv:1106.1800v12011
ReMAP: Restoring the Perceptual Cycle with Reasoning-Time Latent Visual Memory
Hao Jiang, Zhanyu Guo, Chenwei Wu +11
cs.CVcs.AIcs.CLarXiv:2610.05097v12026
KG-BERT: BERT for Knowledge Graph Completion
Liang Yao, Chengsheng Mao, Yuan Luo
cs.CLcs.AIarXiv:1909.03193v22019
AgentJudgeBench: A Multi-Difficulty Benchmark for Evaluating LLM Judges on Agentic Tool-Calling
Abhigya Verma, Amit Kumar Saha, Seganrasan Subramanian +1
cs.AIarXiv:2608.26623v12026
Continuous-Time Quantum Walks based Graph Neural Network
Yuliang Zhan, Zefeng Gao, Jian Li +2
cs.AIarXiv:2608.20738v12026
On the De-duplication of LAION-2B
Ryan Webster, Julien Rabin, Loic Simon +1
cs.CVcs.AIarXiv:2303.12733v12023
Always-On Experimentation
Ricardo J. Sandoval, David Arbour, Avi Feller +1
stat.MEcs.AIarXiv:2609.38695v12026
Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses
Jaromir Savelka, Arav Agarwal, Marshall An +2
cs.CYcs.AIcs.CLarXiv:2306.10073v12023
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity
Yejin Bang, Samuel Cahyawijaya, Nayeon Lee +10
cs.CLcs.AIarXiv:2302.04023v42023
Building a Conversational Agent Overnight with Dialogue Self-Play
Pararth Shah, Dilek Hakkani-Tür, Gokhan Tür +4
cs.AIcs.CLarXiv:1801.04871v12018
Experience Replay for Continual Learning
David Rolnick, Arun Ahuja, Jonathan Schwarz +2
cs.LGcs.AIstat.MLarXiv:1811.11682v22018
Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach
Ke Zhang, Meng Li, Zhengchao Zhang +2
cs.AIarXiv:2002.05513v22020
A Bayesian Perspective on Generalization and Stochastic Gradient Descent
Samuel L. Smith, Quoc V. Le
cs.LGcs.AIstat.MLarXiv:1710.06451v32017
Time-Frequency Geometric Cross-Attention for Chunked Vision-Language-Action Models
Shengye Dong, Haochen Niu, Hao Liu +3
cs.AIcs.ROarXiv:2609.09925v12026
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN
Shengxian Wan, Yanyan Lan, Jun Xu +3
cs.CLcs.AIcs.LGarXiv:1604.04378v12016
Automatically Neutralizing Subjective Bias in Text
Reid Pryzant, Richard Diehl Martinez, Nathan Dass +3
cs.CLcs.AIarXiv:1911.09709v32019
Causally Correct Partial Models for Reinforcement Learning
Danilo J. Rezende, Ivo Danihelka, George Papamakarios +11
cs.LGcs.AIstat.MLarXiv:2002.02836v12020
KNN Classification with One-step Computation
Shichao Zhang, Jiaye Li
cs.LGcs.AIarXiv:2012.06047v22020
Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations
Yehonatan Elisha, Seffi Cohen, Oren Barkan +1
cs.CVcs.AIcs.LGarXiv:2511.13081v22025
Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure
Shaohua Fan, Xiao Wang, Yanhu Mo +2
cs.LGcs.AIarXiv:2209.14107v12022
A Year in LLM Serving: Workload Evolution, Caching and Load-Balancing
William Nixon, Jon Durbin, Florian Standhartinger +2
cs.AIarXiv:2608.13573v12026
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
Qian Liu, Bei Chen, Jiaqi Guo +3
cs.CLcs.AIarXiv:2002.00652v22020

Artificial Intelligence

PlayWorld: Learning Robot World Models from Autonomous Play

How Local Mixing Encodes Relative Position in Global NoPE Attention

EULER: Exploring Underused Links with Evidence-Checked Return for Multi-Agent Mathematical Discovery

Inducing Process Supervision from Outcome-Only Reinforcement Learning

From Pixels to Predicates: Learning Symbolic World Models via Pretrained Vision-Language Models

BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects

Formal Verification of Neural Network Controlled Autonomous Systems

Asking Clarifying Questions in Open-Domain Information-Seeking Conversations

Symbolic Discovery of Optimization Algorithms

Three Factors Influencing Minima in SGD

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Meta-Multi-Agent Reinforcement Learning for Fast Adaptation of Interactive Policies with Applications to Autonomous Driving

An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation

FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets

Batch Policy Learning under Constraints

Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

The Immutable Past: Formalizing State Mutability and Conflict Resolution in Mutable RAG

LightNav-0: Eliciting VLM Spatial Intelligence for Generalist Embodied Navigation

Suphx: Mastering Mahjong with Deep Reinforcement Learning

AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement

Reinforcement Learning from Intermediate Renders for Image-to-Code Generation

Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning

RankCert: When Can Simulated Learners Safely Select an AI Tutor? Robust Decision Certification Under Structural Uncertainty

Auto-Keras: An Efficient Neural Architecture Search System

Beyond Temporal Proximity: Explanatory World Models for Credit Assignment in Reinforcement Learning

Small Foundation Models of Human Cognition and Behaviour

The Relevance of Bayesian Layer Positioning to Model Uncertainty in Deep Bayesian Active Learning

From Statistical Relational to Neuro-Symbolic Artificial Intelligence

Few-Shot Knowledge Graph Completion

ProjE: Embedding Projection for Knowledge Graph Completion

Predicting AC Optimal Power Flows: Combining Deep Learning and Lagrangian Dual Methods

In-Context Learning with Many Demonstration Examples

A Benchmark for Systematic Generalization in Grounded Language Understanding

A mathematical theory of semantic development in deep neural networks

Defence against the dark arts of distillation: Unsupervised discovery of subliminal learning

Dual-Cache Latent Space Communication between Heterogeneous Language Models

ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills

End-to-End United Video Dehazing and Detection

Extensions of Simple Conceptual Graphs: the Complexity of Rules and Constraints

ReMAP: Restoring the Perceptual Cycle with Reasoning-Time Latent Visual Memory

KG-BERT: BERT for Knowledge Graph Completion

AgentJudgeBench: A Multi-Difficulty Benchmark for Evaluating LLM Judges on Agentic Tool-Calling

Continuous-Time Quantum Walks based Graph Neural Network

On the De-duplication of LAION-2B

Always-On Experimentation

Thrilled by Your Progress! Large Language Models (GPT-4) No Longer Struggle to Pass Assessments in Higher Education Programming Courses

A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Building a Conversational Agent Overnight with Dialogue Self-Play

Experience Replay for Continual Learning

Multi-Vehicle Routing Problems with Soft Time Windows: A Multi-Agent Reinforcement Learning Approach

A Bayesian Perspective on Generalization and Stochastic Gradient Descent

Time-Frequency Geometric Cross-Attention for Chunked Vision-Language-Action Models

Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN

Automatically Neutralizing Subjective Bias in Text

Causally Correct Partial Models for Reinforcement Learning

KNN Classification with One-step Computation

Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

A Year in LLM Serving: Workload Evolution, Caching and Load-Balancing

How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context