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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17,521 to 17,580 of 27,759

FRAME: separating sampling variation from representational cause in medical imaging fairness
Mahshad Lotfinia, Daniel Truhn, Andreas Maier +1
cs.CVcs.AIcs.LGarXiv:2608.25981v12026
How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs
Yi Zeng, Hongpeng Lin, Jingwen Zhang +3
cs.CLcs.AIarXiv:2401.06373v22024
WideSeek: Advancing Wide Research via Multi-Agent Scaling
Ziyang Huang, Haolin Ren, Xiaowei Yuan +6
cs.CLcs.AIcs.IRarXiv:2602.02636v12026
Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models
Kaitlyn Zhou, Dan Jurafsky, Tatsunori Hashimoto
cs.CLcs.AIarXiv:2302.13439v22023
Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models
Xudong Lu, Qi Liu, Yuhui Xu +5
cs.CLcs.AIcs.LGarXiv:2402.14800v22024
Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges
Aman Singh Thakur, Kartik Choudhary, Venkat Srinik Ramayapally +2
cs.CLcs.AIarXiv:2406.12624v62024
Universal Thermodynamic Interatomic Potentials for Crystalline Materials
Juno Nam, Bowen Deng, Xiaochen Du +3
cond-mat.mtrl-scicond-mat.stat-mechcs.AIarXiv:2608.14502v12026
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations
Tongzhou Mu, Zhan Ling, Fanbo Xiang +6
cs.LGcs.AIcs.CVarXiv:2107.14483v52021
Mission: Impossible Language Models
Julie Kallini, Isabel Papadimitriou, Richard Futrell +2
cs.CLcs.AIcs.LGarXiv:2401.06416v22024
CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation
Aditya Sanghi, Hang Chu, Joseph G. Lambourne +4
cs.CVcs.AIarXiv:2110.02624v22021
Same Text, Different Numbers: The Divergence of LLM-Based Measures
Hamid Boustanifar, Sasan Mansouri
cs.AIcs.CLq-fin.GNarXiv:2609.31013v12026
Momentum-Guided Federated Split Distillation for Personalized Temporal Edge Intelligence
Ahmed-Rafik Baahmed, Jean-François Dollinger, Amine Brahmia +1
cs.AIcs.DCarXiv:2609.31159v12026
Speaker Identity in Non-Verbal Vocalizations: Conditional Distillation and Mixture of Experts Approach
Tzu-Chieh Wei, Yi-Cheng Lin, Huang-Cheng Chou +4
eess.AScs.AIcs.SDarXiv:2606.21215v12026
Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey
Jing Liu, Yao Du, Kun Yang +8
cs.DCcs.AIcs.LGarXiv:2505.01821v52025
MEA: A Reward-Driven Multi-Agent System for Faithful Model Explanations
Yuyang Cheng, Raghav Kaushik Ravi, Srivarshinee Sridhar +3
cs.AIarXiv:2610.02480v12026
ScaleWoB: Guiding GUI Agents with Coding Agents via Large-Scale Environmental Synthesis
Guohong Liu, Jialei Ye, Pengzhi Gao +4
cs.AIarXiv:2605.25160v22026
Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost
Henry Zhu, Abhishek Gupta, Aravind Rajeswaran +2
cs.AIcs.ROarXiv:1810.06045v12018
GR-3 Technical Report
Chilam Cheang, Sijin Chen, Zhongren Cui +18
cs.ROcs.AIcs.CVarXiv:2507.15493v22025
MemoWM: How World Models Change What Agents Need to Remember
Bingfan Zeng, Zhisheng Chen, Chenbo Sang +6
cs.LGcs.AIarXiv:2610.10778v12026
Replay-Guided Adversarial Environment Design
Minqi Jiang, Michael Dennis, Jack Parker-Holder +3
cs.LGcs.AIarXiv:2110.02439v22021
3D Human Pose Estimation via Intuitive Physics
Shashank Tripathi, Lea Müller, Chun-Hao P. Huang +3
cs.CVcs.AIcs.GRarXiv:2303.18246v32023
FedHisto-PAST: Parameter-Efficient Stain-Aware Federated Learning for Cross-Site Lung Histopathology Classification
Muhammad Muhtasim Shahriar, M. M. Golam Hafiz, Saad Aloteibi +1
cs.CVcs.AIarXiv:2609.31150v12026
The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence
Aili Chen, Aonian Li, Baichuan Zhou +215
cs.AIcs.CLcs.LGarXiv:2605.26494v22026
Measuring the Partial-Credit Gap: A Strict Benchmark on Vietnam's 2025 Convex Marking Scheme
Nguyen Quoc Hung, Nguyen Dang Minh, Le Nhu Quynh +2
cs.AIcs.CYarXiv:2608.18336v12026
Benchmark Contamination: A Taxonomy Organized by Defeated Mitigation
Johanna Angulo, Víctor Yeste, Hector Espinos-Morato
cs.CRcs.AIcs.CLarXiv:2608.29463v12026
SpatialSpeak: QA-Native Reconstruction with Local and Global Context for Spatial Chain-of-Thought Reasoning
Yang Cao, Jiaxin Zhang, Dave Zhenyu Chen +4
cs.CVcs.AIarXiv:2609.33616v12026
SurGE: A Benchmark and Evaluation Framework for Scientific Survey Generation
Weihang Su, Anzhe Xie, Qingyao Ai +5
cs.CLcs.AIcs.IRarXiv:2508.15658v52025
Biquaternionic Space with Complex-valued Attention for Temporal Knowledge Graph Completion
Rushan Geng, Cuicui Luo
cs.LGcs.AIarXiv:2609.14279v12026
SynthDocBench: Controlled Benchmark for Long-Context Visual Document Understanding
Abhigya Verma, Khyati Mahajan, Amit Kumar Saha +4
cs.CVcs.AIarXiv:2607.10400v12026
When Memory Takes Gradients: Collaborative Vector Memory for Agentic Recommender Systems
Hanchong Chen, Xing Tang, Lingjie Li +2
cs.IRcs.AIarXiv:2608.26895v12026
HEXIS: Compiling Skills into Extended Finite State Machines
Minghao LI
cs.AIarXiv:2609.30123v12026
VGenST-Bench: A Benchmark for Spatio-Temporal Reasoning via Active Video Synthesis
Jinho Park, Youbin Kim, Hogun Park +1
cs.CVcs.AIarXiv:2605.22570v12026
S1-Omni: A Unified Multimodal Reasoning Model for Scientific Understanding, Prediction, and Generation
Jiahao Zhao, Junyi Liu, Lifeng Xu +19
cs.AIarXiv:2607.15686v12026
SCRIPTIOC-BENCH: A Benchmark for Recognizing Actionable Threat Intelligence from Script-Based Malware using LLMs
Hanna Kim, Jian Cui, Minkyoo Song +4
cs.CRcs.AIarXiv:2609.06149v12026
Robusto-2: Benchmarking Humans & VLMs for Autonomous Driving in Lima & New York City
Adrian Cespedes, Marcelo Chincha, Dunant Cusipuma +3
cs.CVcs.AIcs.ROarXiv:2606.20980v12026
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
Xingyao Wang, Zihan Wang, Jiateng Liu +4
cs.CLcs.AIcs.LGarXiv:2309.10691v32023
Exposing Blind Spots in Deep Imbalanced Regression Evaluation
Noah C. Puetz, Jens U. Brandt, Marc Hilbert +3
cs.LGcs.AIarXiv:2609.25152v12026
Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising
Chenyu You, Qingsong Yang, Hongming Shan +8
cs.CVcs.AIarXiv:1805.00587v32018
Efficient Decentralized Deep Learning by Dynamic Model Averaging
Michael Kamp, Linara Adilova, Joachim Sicking +4
cs.LGcs.AIcs.DCarXiv:1807.03210v22018
Moser Flow: Divergence-based Generative Modeling on Manifolds
Noam Rozen, Aditya Grover, Maximilian Nickel +1
stat.MLcs.AIcs.LGarXiv:2108.08052v22021
Relation-Aware Graph Attention Network for Visual Question Answering
Linjie Li, Zhe Gan, Yu Cheng +1
cs.CVcs.AIarXiv:1903.12314v32019
Multi-Modal Semantic Expansion with Constrained LLM Reranking for Conversational Music Recommendation
Naman Garg, Sarika Jain, George Fazekas
cs.AIarXiv:2608.23484v12026
Hyperparameter Optimization: A Spectral Approach
Elad Hazan, Adam Klivans, Yang Yuan
cs.LGcs.AImath.OCarXiv:1706.00764v42017
Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning
Si-Guo Fang, Dong Huang, Xiao-Sha Cai +3
cs.LGcs.AIarXiv:2209.04187v22022
iBrain: A Unified Foundation Model Reading the Brain from Surface to Spikes
Ying Chen, Tiou Wang, Zhifeng Yue
cs.AIarXiv:2609.06960v12026
Gradland: On Phenomenal Experience, Differentiated Across Many Dimensions
David Balduzzi
cs.AIcs.NEarXiv:2609.09306v12026
Distilling Diffusion Score Discrepancy for Efficient Training Data Attribution
Shixuan Liu, Joan Serrà, Kin Wai Cheuk +6
cs.LGcs.AIarXiv:2609.38776v12026
The Debate Over Understanding in AI's Large Language Models
Melanie Mitchell, David C. Krakauer
cs.LGcs.AIarXiv:2210.13966v32022
Biases in Generative Art -- A Causal Look from the Lens of Art History
Ramya Srinivasan, Kanji Uchino
cs.AIarXiv:2010.13266v22020
Jailbreaking Black Box Large Language Models in Twenty Queries
Patrick Chao, Alexander Robey, Edgar Dobriban +3
cs.LGcs.AIarXiv:2310.08419v42023
Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends
Ian Schneider, Hui Xu, Stephan Benecke +4
cs.ARcs.AIarXiv:2502.01671v12025
ETCHR: Editing To Clarify and Harness Reasoning
Beichen Zhang, Yuhong Liu, Jinsong Li +3
cs.CVcs.AIcs.CLarXiv:2605.23897v12026
Flow-GRPO: Training Flow Matching Models via Online RL
Jie Liu, Gongye Liu, Jiajun Liang +6
cs.CVcs.AIarXiv:2505.05470v52025
Group-aware Contrastive Regression for Action Quality Assessment
Xumin Yu, Yongming Rao, Wenliang Zhao +2
cs.CVcs.AIcs.LGarXiv:2108.07797v12021
Reward Design with Language Models
Minae Kwon, Sang Michael Xie, Kalesha Bullard +1
cs.LGcs.AIcs.CLarXiv:2303.00001v12023
Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy Optimization
Zhicheng Cai, Xinyuan Guo, Hanlin Wu +4
cs.LGcs.AIarXiv:2607.10169v12026
Observational Overfitting in Reinforcement Learning
Xingyou Song, Yiding Jiang, Stephen Tu +2
cs.LGcs.AIstat.MLarXiv:1912.02975v22019
OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web
Raghav Kapoor, Yash Parag Butala, Melisa Russak +4
cs.AIcs.CLcs.CVarXiv:2402.17553v32024
From Shortcut Learning to Discrete Neural Insertion Sort
Konstantinos Mylonas, Thrasyvoulos Spyropoulos
cs.LGcs.AIarXiv:2609.31114v12026
SILSA: Sliding-Window Slice Latents for Topology-Preserving High-Resolution 3D Generation
Tianjiao Yu, Xinzhuo Li, Yifan Shen +4
cs.CVcs.AIcs.LGarXiv:2610.02201v12026

Artificial Intelligence

FRAME: separating sampling variation from representational cause in medical imaging fairness

How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs

WideSeek: Advancing Wide Research via Multi-Agent Scaling

Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models

Not All Experts are Equal: Efficient Expert Pruning and Skipping for Mixture-of-Experts Large Language Models

Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges

Universal Thermodynamic Interatomic Potentials for Crystalline Materials

ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations

Mission: Impossible Language Models

CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation

Same Text, Different Numbers: The Divergence of LLM-Based Measures

Momentum-Guided Federated Split Distillation for Personalized Temporal Edge Intelligence

Speaker Identity in Non-Verbal Vocalizations: Conditional Distillation and Mixture of Experts Approach

Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey

MEA: A Reward-Driven Multi-Agent System for Faithful Model Explanations

ScaleWoB: Guiding GUI Agents with Coding Agents via Large-Scale Environmental Synthesis

Dexterous Manipulation with Deep Reinforcement Learning: Efficient, General, and Low-Cost

GR-3 Technical Report

MemoWM: How World Models Change What Agents Need to Remember

Replay-Guided Adversarial Environment Design

3D Human Pose Estimation via Intuitive Physics

FedHisto-PAST: Parameter-Efficient Stain-Aware Federated Learning for Cross-Site Lung Histopathology Classification

The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Measuring the Partial-Credit Gap: A Strict Benchmark on Vietnam's 2025 Convex Marking Scheme

Benchmark Contamination: A Taxonomy Organized by Defeated Mitigation

SpatialSpeak: QA-Native Reconstruction with Local and Global Context for Spatial Chain-of-Thought Reasoning

SurGE: A Benchmark and Evaluation Framework for Scientific Survey Generation

Biquaternionic Space with Complex-valued Attention for Temporal Knowledge Graph Completion

SynthDocBench: Controlled Benchmark for Long-Context Visual Document Understanding

When Memory Takes Gradients: Collaborative Vector Memory for Agentic Recommender Systems

HEXIS: Compiling Skills into Extended Finite State Machines

VGenST-Bench: A Benchmark for Spatio-Temporal Reasoning via Active Video Synthesis

S1-Omni: A Unified Multimodal Reasoning Model for Scientific Understanding, Prediction, and Generation

SCRIPTIOC-BENCH: A Benchmark for Recognizing Actionable Threat Intelligence from Script-Based Malware using LLMs

Robusto-2: Benchmarking Humans & VLMs for Autonomous Driving in Lima & New York City

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback

Exposing Blind Spots in Deep Imbalanced Regression Evaluation

Structure-sensitive Multi-scale Deep Neural Network for Low-Dose CT Denoising

Efficient Decentralized Deep Learning by Dynamic Model Averaging

Moser Flow: Divergence-based Generative Modeling on Manifolds

Relation-Aware Graph Attention Network for Visual Question Answering

Multi-Modal Semantic Expansion with Constrained LLM Reranking for Conversational Music Recommendation

Hyperparameter Optimization: A Spectral Approach

Efficient Multi-view Clustering via Unified and Discrete Bipartite Graph Learning

iBrain: A Unified Foundation Model Reading the Brain from Surface to Spikes

Gradland: On Phenomenal Experience, Differentiated Across Many Dimensions

Distilling Diffusion Score Discrepancy for Efficient Training Data Attribution

The Debate Over Understanding in AI's Large Language Models

Biases in Generative Art -- A Causal Look from the Lens of Art History

Jailbreaking Black Box Large Language Models in Twenty Queries

Life-Cycle Emissions of AI Hardware: A Cradle-To-Grave Approach and Generational Trends

ETCHR: Editing To Clarify and Harness Reasoning

Flow-GRPO: Training Flow Matching Models via Online RL

Group-aware Contrastive Regression for Action Quality Assessment

Reward Design with Language Models

Beyond Euclidean Clipping: Overcoming Exploration Collapse in LLM RL via Riemannian Isometric Policy Optimization

Observational Overfitting in Reinforcement Learning

OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and Web

From Shortcut Learning to Discrete Neural Insertion Sort

SILSA: Sliding-Window Slice Latents for Topology-Preserving High-Resolution 3D Generation