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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18,721 to 18,780 of 27,542

Toward Scalable Terminal Task Synthesis via Skill Graphs
Zhiyuan Fan, Tinghao Yu, Yuanjun Cai +8
cs.AIarXiv:2604.25727v12026
On the estimation and validity of AI time horizons---a statistical look at the METR plot
Drew T. Nguyen, William Fithian
cs.AIarXiv:2610.12466v12026
The Polytopal Neural Network
A. Emilie J. Wedenborg, Anders V. Nørskov, Teresa Dorszewski +2
cs.LGcs.AIarXiv:2610.12004v12026
GPT-4V(ision) is a Generalist Web Agent, if Grounded
Boyuan Zheng, Boyu Gou, Jihyung Kil +2
cs.IRcs.AIcs.CLarXiv:2401.01614v22024
Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation
Shicheng Xu, Liang Pang, Mo Yu +4
cs.CLcs.AIcs.IRarXiv:2402.18150v22024
PACT: From Credit Assignment to Critic Alignment
Jiayan Fu, Hang Xu, Yong Zhang +4
cs.LGcs.AIarXiv:2609.26355v12026
One-Class Adversarial Nets for Fraud Detection
Panpan Zheng, Shuhan Yuan, Xintao Wu +2
cs.LGcs.AIcs.CRarXiv:1803.01798v22018
When the Chain of Thought Knows Better: Failure Modes in Multi-Turn Reasoning Models
Sai Kartheek Reddy Kasu, Nils Lukas, Samuele Poppi
cs.AIcs.CLcs.LGarXiv:2606.10740v22026
Caught in the Act: Probes Effectively Detect Sabotage and Catch Unverbalized Deception
Oskar J. Hollinsworth, Alex F. Spies, Tigist Diriba +2
cs.LGcs.AIarXiv:2610.12445v12026
SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning
Jianlan Luo, Zheyuan Hu, Charles Xu +7
cs.ROcs.AIarXiv:2401.16013v42024
Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs
Zhuo Yang, Daolang Wang, Lingli Ge +3
cs.AIarXiv:2505.12833v22025
IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography
Alina Jade Barnett, Fides Regina Schwartz, Chaofan Tao +4
cs.LGcs.AIcs.CVarXiv:2103.12308v12021
RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents
Jize Wang, Han Wu, Zhiyuan You +9
cs.AIarXiv:2601.18130v12026
ClearGS: Reliability-Aware Gaussian Splatting from Handheld Videos
Xuanzhi Liu, Xinyi Wu, Hang Pan +4
cs.CVcs.AIarXiv:2609.31509v12026
Machine Unlearning of Pre-trained Large Language Models
Jin Yao, Eli Chien, Minxin Du +4
cs.CLcs.AIcs.CRarXiv:2402.15159v32024
Known By Their Actions: Fingerprinting LLM Browser Agents via UI Traces
William Lugoloobi, Samuelle Marro, Jabez Magomere +2
cs.CRcs.AIcs.HCarXiv:2605.14786v12026
Exploratory Combinatorial Optimization with Reinforcement Learning
Thomas D. Barrett, William R. Clements, Jakob N. Foerster +1
cs.LGcs.AIstat.MLarXiv:1909.04063v22019
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training
Joe Stacey, Pasquale Minervini, Haim Dubossarsky +2
cs.LGcs.AIcs.CLarXiv:2004.07790v52020
Irreducible Curriculum for Language Model Pretraining
Simin Fan, Martin Jaggi
cs.CLcs.AIcs.LGarXiv:2310.15389v12023
Learning Convolutional Neural Networks for Graphs
Mathias Niepert, Mohamed Ahmed, Konstantin Kutzkov
cs.LGcs.AIstat.MLarXiv:1605.05273v42016
Closed-form Continuous-time Neural Models
Ramin Hasani, Mathias Lechner, Alexander Amini +5
cs.LGcs.AIcs.NEarXiv:2106.13898v22021
ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale
Xin Wang, Hector Delgado, Hemlata Tak +10
eess.AScs.AIcs.SDarXiv:2408.08739v12024
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking
Jian-Guo Zhang, Kazuma Hashimoto, Chien-Sheng Wu +4
cs.CLcs.AIarXiv:1910.03544v42019
Deep Reinforcement Learning-based Image Captioning with Embedding Reward
Zhou Ren, Xiaoyu Wang, Ning Zhang +2
cs.CVcs.AIarXiv:1704.03899v12017
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Yongcheng Liu, Bin Fan, Gaofeng Meng +3
cs.CVcs.AIcs.GRarXiv:1909.03669v12019
R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation
Martin Weyssow, Chengran Yang, Junkai Chen +12
cs.SEcs.AIcs.CLarXiv:2504.04699v22025
GRAPE: Gradient Refinement and Progress-Aware Exploitation for Query-Efficient High-Dimensional Bayesian Optimization
Richard Cornelius Suwandi, Feng Yin
cs.LGcs.AIstat.MLarXiv:2608.25116v12026
Dynamic Linear Attention
Xin Wang, Hui Shen, Boyuan Zheng +7
cs.CLcs.AIarXiv:2606.10650v12026
A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems
Zihao Yi, Jiarui Ouyang, Zhe Xu +4
cs.CLcs.AIarXiv:2402.18013v22024
Meta-Learning Representations for Continual Learning
Khurram Javed, Martha White
cs.LGcs.AIstat.MLarXiv:1905.12588v22019
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Zhiqiu Lin, Samuel Yu, Zhiyi Kuang +2
cs.CVcs.AIcs.LGarXiv:2301.06267v52023
Large Language Models for Education: A Survey and Outlook
Shen Wang, Tianlong Xu, Hang Li +5
cs.CLcs.AIarXiv:2403.18105v22024
The Chain Holds, the Answer Folds: Trace-Answer Dissociation in Reasoning Models Under Adversarial Pressure
Yubo Li, Ramayya Krishnan, Rema Padman
cs.AIarXiv:2605.29087v12026
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers
Chenglei Si, Diyi Yang, Tatsunori Hashimoto
cs.CLcs.AIcs.CYarXiv:2409.04109v12024
SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer
Ziyou Ren, Nan Cheng, Ruijin Sun +3
cs.NIcs.AIcs.LGarXiv:2211.09712v12022
Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta +4
cs.LGcs.AIcs.ROarXiv:1709.10087v22017
Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey
Ngan Le, Vidhiwar Singh Rathour, Kashu Yamazaki +2
cs.CVcs.AIarXiv:2108.11510v12021
Large-scale Interactive Recommendation with Tree-structured Policy Gradient
Haokun Chen, Xinyi Dai, Han Cai +5
cs.LGcs.AIstat.MLarXiv:1811.05869v12018
Softmax Reparameterization for Output-Head Quantization
Asim Kadav, Christian Flores, Chirag Arora +5
cs.LGcs.AIarXiv:2609.31291v12026
Parallelism or Concession? Concurrency-Aware Procurement Negotiation for Agentic Commerce
Xiaolin Xu, Donghao Zhu
cs.GTcs.AIcs.MAarXiv:2610.06017v12026
Algorithmic Fairness in Education
René F. Kizilcec, Hansol Lee
cs.CYcs.AIcs.LGarXiv:2007.05443v32020
G$^2$VLM: Geometry Grounded Vision Language Model with Unified 3D Reconstruction and Spatial Reasoning
Wenbo Hu, Jingli Lin, Yilin Long +7
cs.CVcs.AIcs.CLarXiv:2511.21688v22025
Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network
Xiyue Zhang, Chao Huang, Yong Xu +5
cs.LGcs.AIarXiv:2110.04038v12021
The Surprising Power of Graph Neural Networks with Random Node Initialization
Ralph Abboud, İsmail İlkan Ceylan, Martin Grohe +1
cs.LGcs.AIstat.MLarXiv:2010.01179v22020
Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation
Yitong Pang, Lingfei Wu, Qi Shen +6
cs.IRcs.AIarXiv:2107.03813v42021
Separating Engineering Reasoning from DEXPI Serialization in LLM-Based Greenfield Surface-Process Design: A Three-Case Study for Underground Gas Storage
Qingchuan Zhu, Shuyue Tong, Pengju Ren
cs.SEcs.AIarXiv:2609.12656v12026
ICON Decomposition: Multivariate Concept-Level Explanations of Deep Representations for Model Auditing
Roshan Prakash Rane, Marco Simnacher, Manuel Pfeuffer +7
cs.LGcs.AIcs.CVarXiv:2608.26083v12026
The Uncertainty Bellman Equation and Exploration
Brendan O'Donoghue, Ian Osband, Remi Munos +1
cs.AIcs.LGmath.OCarXiv:1709.05380v42017
Qiushi Engine on AstaBench E2E-Bench-Hard
Wenhao Li, Shuxing Yang, Fujia Chen +13
cs.AIcs.SEarXiv:2609.08196v12026
UniSpace: Unified Visual Representation and Scalable Multimodal Modeling
Jinbo Yan, Limeng Qiao, Jie Qin +3
cs.CVcs.AIarXiv:2608.08676v12026
Can Large Language Models Infer Causation from Correlation?
Zhijing Jin, Jiarui Liu, Zhiheng Lyu +5
cs.CLcs.AIcs.LGarXiv:2306.05836v32023
SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers
Yanzheng Xiang, Hanqi Yan, Shuyin Ouyang +2
cs.CLcs.AIcs.MAarXiv:2504.00255v22025
Brain-SAD: A Brain-Inspired Safe Autonomous Driving Control Framework with Dynamic Fear-Oriented Constraint on Dual-Policy
Huan Rong, Chao Yin, Anouar Imel +2
cs.AIcs.CVcs.NEarXiv:2609.38016v12026
The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice
Fernando Delgado, Stephen Yang, Michael Madaio +1
cs.HCcs.AIarXiv:2310.00907v12023
Integrated Task and Motion Planning
Caelan Reed Garrett, Rohan Chitnis, Rachel Holladay +4
cs.ROcs.AIarXiv:2010.01083v12020
Social Recommendation with Self-Supervised Metagraph Informax Network
Xiaoling Long, Chao Huang, Yong Xu +4
cs.IRcs.AIarXiv:2110.03958v12021
CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training
Murat Kocaoglu, Christopher Snyder, Alexandros G. Dimakis +1
cs.LGcs.AIcs.ITarXiv:1709.02023v22017
Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents
Cheng Qian, Bingxiang He, Zhong Zhuang +8
cs.CLcs.AIcs.HCarXiv:2402.09205v22024
Probabilistic Model Checking of Autoregressive Neural Sequence Models
Helge Spieker, Dennis Gross, Arnaud Gotlieb
cs.SEcs.AIarXiv:2609.00838v12026
Reasoning Over Semantic-Level Graph for Fact Checking
Wanjun Zhong, Jingjing Xu, Duyu Tang +5
cs.CLcs.AIarXiv:1909.03745v32019

Artificial Intelligence

Toward Scalable Terminal Task Synthesis via Skill Graphs

On the estimation and validity of AI time horizons---a statistical look at the METR plot

The Polytopal Neural Network

GPT-4V(ision) is a Generalist Web Agent, if Grounded

Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation

PACT: From Credit Assignment to Critic Alignment

One-Class Adversarial Nets for Fraud Detection

When the Chain of Thought Knows Better: Failure Modes in Multi-Turn Reasoning Models

Caught in the Act: Probes Effectively Detect Sabotage and Catch Unverbalized Deception

SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning

Reasoning BO: Enhancing Bayesian Optimization with Long-Context Reasoning Power of LLMs

IAIA-BL: A Case-based Interpretable Deep Learning Model for Classification of Mass Lesions in Digital Mammography

RouteMoA: Dynamic Routing without Pre-Inference Boosts Efficient Mixture-of-Agents

ClearGS: Reliability-Aware Gaussian Splatting from Handheld Videos

Machine Unlearning of Pre-trained Large Language Models

Known By Their Actions: Fingerprinting LLM Browser Agents via UI Traces

Exploratory Combinatorial Optimization with Reinforcement Learning

Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training

Irreducible Curriculum for Language Model Pretraining

Learning Convolutional Neural Networks for Graphs

Closed-form Continuous-time Neural Models

ASVspoof 5: Crowdsourced Speech Data, Deepfakes, and Adversarial Attacks at Scale

Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking

Deep Reinforcement Learning-based Image Captioning with Embedding Reward

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing

R2Vul: Learning to Reason about Software Vulnerabilities with Reinforcement Learning and Structured Reasoning Distillation

GRAPE: Gradient Refinement and Progress-Aware Exploitation for Query-Efficient High-Dimensional Bayesian Optimization

Dynamic Linear Attention

A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems

Meta-Learning Representations for Continual Learning

Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models

Large Language Models for Education: A Survey and Outlook

The Chain Holds, the Answer Folds: Trace-Answer Dissociation in Reasoning Models Under Adversarial Pressure

Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers

SigT: An Efficient End-to-End MIMO-OFDM Receiver Framework Based on Transformer

Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Deep Reinforcement Learning in Computer Vision: A Comprehensive Survey

Large-scale Interactive Recommendation with Tree-structured Policy Gradient

Softmax Reparameterization for Output-Head Quantization

Parallelism or Concession? Concurrency-Aware Procurement Negotiation for Agentic Commerce

Algorithmic Fairness in Education

G$^2$VLM: Geometry Grounded Vision Language Model with Unified 3D Reconstruction and Spatial Reasoning

Traffic Flow Forecasting with Spatial-Temporal Graph Diffusion Network

The Surprising Power of Graph Neural Networks with Random Node Initialization

Heterogeneous Global Graph Neural Networks for Personalized Session-based Recommendation

Separating Engineering Reasoning from DEXPI Serialization in LLM-Based Greenfield Surface-Process Design: A Three-Case Study for Underground Gas Storage

ICON Decomposition: Multivariate Concept-Level Explanations of Deep Representations for Model Auditing

The Uncertainty Bellman Equation and Exploration

Qiushi Engine on AstaBench E2E-Bench-Hard

UniSpace: Unified Visual Representation and Scalable Multimodal Modeling

Can Large Language Models Infer Causation from Correlation?

SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers

Brain-SAD: A Brain-Inspired Safe Autonomous Driving Control Framework with Dynamic Fear-Oriented Constraint on Dual-Policy

The Participatory Turn in AI Design: Theoretical Foundations and the Current State of Practice

Integrated Task and Motion Planning

Social Recommendation with Self-Supervised Metagraph Informax Network

CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training

Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents

Probabilistic Model Checking of Autoregressive Neural Sequence Models

Reasoning Over Semantic-Level Graph for Fact Checking