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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21,961 to 22,020 of 27,149

DCRL: Decoupling and Coupling Reinforcement Learning via Policy-Reward Manifold Alignment
Henan Sun, Zehua Li, Haitao Hu +4
cs.LGcs.AIarXiv:2609.27572v12026
Skywork Open Reasoner 1 Technical Report
Jujie He, Jiacai Liu, Chris Yuhao Liu +14
cs.LGcs.AIcs.CLarXiv:2505.22312v22025
CodeTD: Topology of Attention Detects Hallucinations in Code LLMs
Daria Voronkova, Ilya Trofimov, Anton Dmitriev +3
cs.SEcs.AIcs.CLarXiv:2609.07779v12026
CreativeGame:Toward Mechanic-Aware Creative Game Generation
Hongnan Ma, Han Wang, Shenglin Wang +6
cs.AIarXiv:2604.19926v12026
Training Graph Neural Networks with 1000 Layers
Guohao Li, Matthias Müller, Bernard Ghanem +1
cs.LGcs.AIcs.SIarXiv:2106.07476v32021
Towards Reliable and Fluent Large Language Models: Incorporating Feedback Learning Loops in QA Systems
Dongyub Lee, Taesun Whang, Chanhee Lee +1
cs.CLcs.AIarXiv:2309.06384v12023
UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings
Zhibin Lan, Liqiang Niu, Fandong Meng +2
cs.LGcs.AIarXiv:2511.00405v22025
The Interplay of Learning, Analytics, and Artificial Intelligence in Education: A Vision for Hybrid Intelligence
Mutlu Cukurova
cs.CYcs.AIarXiv:2403.16081v42024
Equivariant Covariance Tensors: Guaranteed SPD Uncertainty for Tensor-Valued Geometric Learning
Ruihan Liu, Yu Ji, Jianbo Yu +2
cs.LGcs.AIarXiv:2608.24386v12026
Towards AI-assisted Academic Writing
Daniel J. Liebling, Malcolm Kane, Madeleine Grunde-Mclaughlin +3
cs.AIarXiv:2503.13771v12025
PACE: A Unified Condense-and-Extract Paradigm for Fast VLM Inference
Junjie Liu, Shengyuan Ye, Xu Chen
cs.CVcs.AIarXiv:2608.27206v12026
EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding
Karttikeya Mangalam, Raiymbek Akshulakov, Jitendra Malik
cs.CVcs.AIcs.CLarXiv:2308.09126v12023
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Michael Tschannen, Alexey Gritsenko, Xiao Wang +11
cs.CVcs.AIarXiv:2502.14786v12025
Cognitive Architectures for Language Agents
Theodore R. Sumers, Shunyu Yao, Karthik Narasimhan +1
cs.AIcs.CLcs.LGarXiv:2309.02427v32023
A Multi-Modal AI Framework for Real-Time Queue Prediction, Management and Optimisation in Intelligent Border Control Systems
Varvara Mama, Eleni Veroni, Nikolaos Kapsalis +2
cs.AIarXiv:2608.27010v12026
Model-Free Imitation Learning with Policy Optimization
Jonathan Ho, Jayesh K. Gupta, Stefano Ermon
cs.LGcs.AIarXiv:1605.08478v12016
The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models
Matthew Renze, Erhan Guven
cs.CLcs.AIarXiv:2401.05618v32024
Algorithm Selection for Combinatorial Search Problems: A Survey
Lars Kotthoff
cs.AIarXiv:1210.7959v12012
AgentSocialBench: Evaluating Privacy Risks in Human-Centered Agentic Social Networks
Prince Zizhuang Wang, Shuli Jiang
cs.AIcs.SIarXiv:2604.01487v22026
Do Vision and Language Encoders Represent the World Similarly?
Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali +4
cs.CVcs.AIcs.CLarXiv:2401.05224v22024
Learning Natural Language Inference with LSTM
Shuohang Wang, Jing Jiang
cs.CLcs.AIcs.NEarXiv:1512.08849v22015
Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers
Staphord Bengesi, Hoda El-Sayed, Md Kamruzzaman Sarker +3
cs.LGcs.AIarXiv:2311.10242v22023
Identifying and Mitigating the Security Risks of Generative AI
Clark Barrett, Brad Boyd, Elie Burzstein +20
cs.AIarXiv:2308.14840v42023
AI Watchdog: Agent Interfaces for Detecting and Defending Against Manipulative Dark Patterns in AI Conversations
Rachel Poonsiriwong, Chayapatr, Archiwaranguprok +4
cs.AIcs.HCarXiv:2608.21841v12026
SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale
Tong Bai, Zhenglin Wan, Pengfei Zhou +3
cs.AIarXiv:2606.03056v22026
Building Better Activation Oracles
Jan Bauer, Celeste De Schamphelaere, Adam Karvonen +2
cs.LGcs.AIarXiv:2606.02609v22026
Investigating Hyperparameter Optimization and Transferability for ES-HyperNEAT: A TPE Approach
Romain Claret, Michael O'Neill, Paul Cotofrei +1
cs.NEcs.AIarXiv:2609.00449v12026
Automated Machine Learning: From Principles to Practices
Zhenqian Shen, Yongqi Zhang, Lanning Wei +2
cs.AIcs.LGstat.MLarXiv:1810.13306v52018
AI Deception: A Survey of Examples, Risks, and Potential Solutions
Peter S. Park, Simon Goldstein, Aidan O'Gara +2
cs.CYcs.AIcs.HCarXiv:2308.14752v12023
Advancing Mathematics Research with AI-Driven Formal Proof Search
George Tsoukalas, Anton Kovsharov, Sergey Shirobokov +18
cs.AIarXiv:2605.22763v22026
Scaling Laws of RoPE-based Extrapolation
Xiaoran Liu, Hang Yan, Shuo Zhang +3
cs.CLcs.AIarXiv:2310.05209v22023
Cross-view Transformers for real-time Map-view Semantic Segmentation
Brady Zhou, Philipp Krähenbühl
cs.CVcs.AIarXiv:2205.02833v12022
On the Importance of Gating: Memorization vs. In-Context Learning in State Space Models
William L. Tong, Aryo Lotfi, Emmanuel Abbe +6
cs.LGcs.AIarXiv:2609.16540v12026
TabLLM: Few-shot Classification of Tabular Data with Large Language Models
Stefan Hegselmann, Alejandro Buendia, Hunter Lang +3
cs.CLcs.AIarXiv:2210.10723v22022
Thinking Beyond Videos: Unifying Video Reasoning and Deep Research for Open-World Video Agents
Wenqi Liu, Shijie Ma, Yunxiao Wang +18
cs.CVcs.AIarXiv:2608.23329v12026
A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units
Niranjani Prasad, Li-Fang Cheng, Corey Chivers +2
cs.AIarXiv:1704.06300v12017
MCIR: A Feature Dependence-Aware Explainability Method with Reliability Guarantees
Poushali Sengupta, Sabita Maharjan, Frank Eliassen +2
cs.LGcs.AIstat.COarXiv:2610.01641v12026
Neuro-Symbolic Artificial Intelligence: Current Trends
Md Kamruzzaman Sarker, Lu Zhou, Aaron Eberhart +1
cs.AIcs.LGarXiv:2105.05330v22021
PETS: A Principled Framework Towards Optimal Trajectory Allocation for Efficient Test-Time Self-Consistency
Zhangyi Liu, Huaizhi Qu, Xiaowei Yin +4
cs.LGcs.AIarXiv:2602.16745v22026
YOLOv12: A Breakdown of the Key Architectural Features
Mujadded Al Rabbani Alif, Muhammad Hussain
cs.CVcs.AIarXiv:2502.14740v12025
EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI
Tai Wang, Xiaohan Mao, Chenming Zhu +11
cs.CVcs.AIcs.ROarXiv:2312.16170v12023
Don't forget, there is more than forgetting: new metrics for Continual Learning
Natalia Díaz-Rodríguez, Vincenzo Lomonaco, David Filliat +1
cs.AIcs.CVcs.LGarXiv:1810.13166v12018
Discovered Policy Optimisation
Chris Lu, Jakub Grudzien Kuba, Alistair Letcher +3
cs.LGcs.AIarXiv:2210.05639v22022
TESO Tabu Enhanced Simulation Optimization for Noisy Black Box Problems
Bulent Soykan, Sean Mondesire, Ghaith Rabadi
cs.NEcs.AIarXiv:2512.24007v12025
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
Ting Chen, Ruixiang Zhang, Geoffrey Hinton
cs.CVcs.AIcs.CLarXiv:2208.04202v22022
Accuracy is Not Enough: A Divergence-Based Approach to Evaluate Fidelity Loss in Quantized LLMs
Shahzeb Qamar, Lorenz Sparrenberg, Christian Bauckhage +5
cs.LGcs.AIarXiv:2609.07664v22026
No\=esis: Deterministic-First Retrieval with Two-Tier Context Hydration for Factuality-Critical Queries on Small Local Models
Nicola Cogotti
cs.IRcs.AIcs.CLarXiv:2609.07663v12026
Improving Natural Language Inference Using External Knowledge in the Science Questions Domain
Xiaoyan Wang, Pavan Kapanipathi, Ryan Musa +8
cs.AIcs.CLcs.LGarXiv:1809.05724v22018
A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise
Chaoyou Fu, Renrui Zhang, Zihan Wang +15
cs.CVcs.AIcs.CLarXiv:2312.12436v22023
Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
Gati Aher, Rosa I. Arriaga, Adam Tauman Kalai
cs.CLcs.AIcs.LGarXiv:2208.10264v52022
Decentralized Safe Multi-Agent Reinforcement Learning via Predictive Shielding
Yacine El Yamani, Hanna Krasowski, Elena Vanneaux
eess.SYcs.AIcs.MAarXiv:2609.07618v12026
Verbosity Tradeoffs and the Impact of Scale on the Faithfulness of LLM Self-Explanations
Noah Y. Siegel, Nicolas Heess, Maria Perez-Ortiz +1
cs.CLcs.AIarXiv:2503.13445v32025
Stream-Based Active Learning with Cooperative Neural Networks for Data-Efficient Partial Inverse Design: An Automotive Glass Run Channel Case Study
Agung Nugraha, Hyerin Kwon, Heungjun Im +2
cs.LGcs.AIarXiv:2610.09848v12026
VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation
Hongyang Du, Junjie Ye, Xiaoyan Cong +7
cs.CVcs.AIcs.LGarXiv:2601.23286v42026
Managing Context and Communication in Distributed Agentic UAV Swarms
Andrea Iannoli, Ivan Zyrianoff, Angelo Trotta +2
cs.MAcs.AIcs.LGarXiv:2610.01569v12026
IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models
Hu Ye, Jun Zhang, Sibo Liu +2
cs.CVcs.AIarXiv:2308.06721v12023
Knowledge Tracing with Sequential Key-Value Memory Networks
Ghodai Abdelrahman, Qing Wang
cs.LGcs.AIcs.IRarXiv:1910.13197v12019
OpenCoF: Learning to Reason Through Video Generation
Xinyan Chen, Ziyu Guo, Renrui Zhang +2
cs.CVcs.AIarXiv:2607.08763v12026
SiLR: Structure-Preserving Admission and Process Reward for LLM Tool Agents
Chenyu Zhou, Qiliang Jiang, Shuning Wu +1
cs.AIcs.LGeess.SYarXiv:2609.04629v12026
SpikeMoE: Brain-Inspired Competitive Routing for Flexible Spiking Mixture-of-Experts
Xiaoli Liu, Yujie Liang, Jialin Li +1
cs.AIarXiv:2610.01418v12026

Artificial Intelligence

DCRL: Decoupling and Coupling Reinforcement Learning via Policy-Reward Manifold Alignment

Skywork Open Reasoner 1 Technical Report

CodeTD: Topology of Attention Detects Hallucinations in Code LLMs

CreativeGame:Toward Mechanic-Aware Creative Game Generation

Training Graph Neural Networks with 1000 Layers

Towards Reliable and Fluent Large Language Models: Incorporating Feedback Learning Loops in QA Systems

UME-R1: Exploring Reasoning-Driven Generative Multimodal Embeddings

The Interplay of Learning, Analytics, and Artificial Intelligence in Education: A Vision for Hybrid Intelligence

Equivariant Covariance Tensors: Guaranteed SPD Uncertainty for Tensor-Valued Geometric Learning

Towards AI-assisted Academic Writing

PACE: A Unified Condense-and-Extract Paradigm for Fast VLM Inference

EgoSchema: A Diagnostic Benchmark for Very Long-form Video Language Understanding

SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Cognitive Architectures for Language Agents

A Multi-Modal AI Framework for Real-Time Queue Prediction, Management and Optimisation in Intelligent Border Control Systems

Model-Free Imitation Learning with Policy Optimization

The Benefits of a Concise Chain of Thought on Problem-Solving in Large Language Models

Algorithm Selection for Combinatorial Search Problems: A Survey

AgentSocialBench: Evaluating Privacy Risks in Human-Centered Agentic Social Networks

Do Vision and Language Encoders Represent the World Similarly?

Learning Natural Language Inference with LSTM

Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers

Identifying and Mitigating the Security Risks of Generative AI

AI Watchdog: Agent Interfaces for Detecting and Defending Against Manipulative Dark Patterns in AI Conversations

SkillDAG: Self-Evolving Typed Skill Graphs for LLM Skill Selection at Scale

Building Better Activation Oracles

Investigating Hyperparameter Optimization and Transferability for ES-HyperNEAT: A TPE Approach

Automated Machine Learning: From Principles to Practices

AI Deception: A Survey of Examples, Risks, and Potential Solutions

Advancing Mathematics Research with AI-Driven Formal Proof Search

Scaling Laws of RoPE-based Extrapolation

Cross-view Transformers for real-time Map-view Semantic Segmentation

On the Importance of Gating: Memorization vs. In-Context Learning in State Space Models

TabLLM: Few-shot Classification of Tabular Data with Large Language Models

Thinking Beyond Videos: Unifying Video Reasoning and Deep Research for Open-World Video Agents

A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units

MCIR: A Feature Dependence-Aware Explainability Method with Reliability Guarantees

Neuro-Symbolic Artificial Intelligence: Current Trends

PETS: A Principled Framework Towards Optimal Trajectory Allocation for Efficient Test-Time Self-Consistency

YOLOv12: A Breakdown of the Key Architectural Features

EmbodiedScan: A Holistic Multi-Modal 3D Perception Suite Towards Embodied AI

Don't forget, there is more than forgetting: new metrics for Continual Learning

Discovered Policy Optimisation

TESO Tabu Enhanced Simulation Optimization for Noisy Black Box Problems

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning

Accuracy is Not Enough: A Divergence-Based Approach to Evaluate Fidelity Loss in Quantized LLMs

No\=esis: Deterministic-First Retrieval with Two-Tier Context Hydration for Factuality-Critical Queries on Small Local Models

Improving Natural Language Inference Using External Knowledge in the Science Questions Domain

A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise

Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies

Decentralized Safe Multi-Agent Reinforcement Learning via Predictive Shielding

Verbosity Tradeoffs and the Impact of Scale on the Faithfulness of LLM Self-Explanations

Stream-Based Active Learning with Cooperative Neural Networks for Data-Efficient Partial Inverse Design: An Automotive Glass Run Channel Case Study

VideoGPA: Distilling Geometry Priors for 3D-Consistent Video Generation

Managing Context and Communication in Distributed Agentic UAV Swarms

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Knowledge Tracing with Sequential Key-Value Memory Networks

OpenCoF: Learning to Reason Through Video Generation

SiLR: Structure-Preserving Admission and Process Reward for LLM Tool Agents

SpikeMoE: Brain-Inspired Competitive Routing for Flexible Spiking Mixture-of-Experts