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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19,141 to 19,200 of 27,794

CIPHER-MoE: Balancing Efficiency and Routing Fidelity in Trillion-Scale MoE Training
Jing Li, Jian Meng, Yingmeng Gao +8
cs.LGcs.AIarXiv:2610.05744v12026
Budget-Aware Tool Use Enables Effective Agent Scaling
Tengxiao Liu, Zifeng Wang, Jin Miao +12
cs.AIarXiv:2511.17006v22025
LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals
Joon Sung Park, Carolyn Q. Zou, Jonne Kamphorst +8
cs.AIcs.HCcs.LGarXiv:2411.10109v32024
AxQM: A Textbook-Scale Benchmark for Formal Proof Synthesis in a Library of Finite-Dimensional Quantum Mechanics
Weichen Winston Yin, Jacob M. Taylor, Dirk R. Englund +1
quant-phcs.AIcs.LOarXiv:2609.05157v12026
FoldBack: Self-Correcting Masked Generative Policy for Long-Horizon Garment Folding
Lipeng Zhuang, Shiyu Fan, Yingdong Ru +4
cs.ROcs.AIarXiv:2610.10462v12026
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
Shenglai Zeng, Jiankun Zhang, Pengfei He +8
cs.CRcs.AIcs.CLarXiv:2402.16893v12024
Exponential random graph models with soft clique constraints
Yasmin Tousinejad, Vera Koponen
math.COcs.AImath.PRarXiv:2608.30869v12026
COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting
Nikolaus Hansen, Anne Auger, Raymond Ros +3
cs.AIcs.MSmath.NAarXiv:1603.08785v42016
Multimodal Model Diffing for Feature Discovery and Control
Hunar Batra, Lachin Naghashyar, Ashkan Khakzar +4
cs.CVcs.AIcs.CLarXiv:2608.09928v12026
Visibility into AI Agents
Alan Chan, Carson Ezell, Max Kaufmann +9
cs.CYcs.AIarXiv:2401.13138v62024
Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation
Diederik P. Kingma, Ruiqi Gao
cs.LGcs.AIstat.MLarXiv:2303.00848v72023
Steered LLM Activations are Non-Surjective
Aayush Mishra, Daniel Khashabi, Anqi Liu
cs.AIcs.LGarXiv:2604.09839v22026
Do LLMs Understand Context? A Knowledge Graph-Based Evaluation Framework
Subavarshana Arumugam, Mamta Nallaretnam, Kithuni Wickramasinghe +4
cs.AIcs.LGarXiv:2609.30484v12026
From Mastery Profile to Simulated Response: Stochastic Student Knowledge Graphs (SSKG) for Faithful LLM Student Simulation
Yuan An, Emily Wang, Benjamin Wang +1
cs.AIcs.HCarXiv:2608.21668v12026
SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks
Hongcheng Gao, Hailong Qu, Jingyi Tang +18
cs.AIcs.CLarXiv:2606.09669v22026
Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL
Anusha Nagabandi, Chelsea Finn, Sergey Levine
cs.LGcs.AIcs.ROarXiv:1812.07671v22018
How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance
Jerry Y. Huang, Justin Lin, Sheel Shah +2
cs.LGcs.AIarXiv:2604.27147v32026
Recursive Self-Improvement through Multi-Agent Self-Supervision
Hyunin Lee, Jinglue Xu, Jeffrey Seely +4
cs.AIarXiv:2610.12176v12026
Decoupling Parcellation from Classification: Systematic Benchmark of Fast Brain Segmentation Methods for Alzheimer's Disease Detection
Jiadao Zou, Hongyu Guo, Wei Xi
eess.IVcs.AIcs.CVarXiv:2608.16039v12026
VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models
Jianke Zhang, Xiaoyu Chen, Qiuyue Wang +7
cs.CVcs.AIarXiv:2601.03309v22026
A Survey on Time-Series Pre-Trained Models
Qianli Ma, Zhen Liu, Zhenjing Zheng +4
cs.LGcs.AIarXiv:2305.10716v22023
Building Machines that Learn and Think with People
Katherine M. Collins, Ilia Sucholutsky, Umang Bhatt +10
cs.HCcs.AIcs.LGarXiv:2408.03943v12024
A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures
Basile Terver, Randall Balestriero, Megi Dervishi +8
cs.CVcs.AIarXiv:2602.03604v32026
TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement
Karim Aly, Alexei Sharpanskykh, Jacco Hoekstra
cs.LGcs.AIarXiv:2608.11951v12026
Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models
Mateusz Pach, Shyamgopal Karthik, Quentin Bouniot +2
cs.CVcs.AIcs.LGarXiv:2504.02821v32025
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
Jiasheng Ye, Peiju Liu, Tianxiang Sun +3
cs.CLcs.AIcs.LGarXiv:2403.16952v22024
Trademark Search, Artificial Intelligence and the Role of the Private Sector
Sonia Katyal, Aniket Kesari
cs.CYcs.AIarXiv:2601.17072v12026
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
Jiasen Lu, Anitha Kannan, Jianwei Yang +2
cs.CVcs.AIcs.CLarXiv:1706.01554v22017
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
Mateusz Malinowski, Marcus Rohrbach, Mario Fritz
cs.CVcs.AIcs.CLarXiv:1505.01121v32015
Online Event Recognition from Moving Vessel Trajectories
Kostas Patroumpas, Elias Alevizos, Alexander Artikis +3
cs.CVcs.AIarXiv:1601.06041v12016
Instruction-Conditioned Electromagnetic Spectrum Understanding via Budget-Adaptive Signal Tokenization
Lei Zhai, Zhihao Chang, Shuyuan Yang +1
cs.AIeess.SParXiv:2610.12142v12026
VisPlay: Self-Evolving Vision-Language Models from Images
Yicheng He, Chengsong Huang, Zongxia Li +2
cs.CVcs.AIcs.CLarXiv:2511.15661v22025
Use and Disuse: Intent-Structured Experience Consolidation for Memory and Learning in LLM Agents
Xiangyi Zeng, Baihang Liu, Xutong Wang +3
cs.AIarXiv:2610.12124v12026
MergeDNA: Context-aware Genome Modeling with Dynamic Tokenization through Token Merging
Siyuan Li, Kai Yu, Anna Wang +7
q-bio.GNcs.AIcs.LGarXiv:2511.14806v12025
MSGAT: Multi-Head Spiking Graph Attention with Similarity-Space Fusion for Image-Text Retrieval
Xintao Zong, Wenxuan Liu, Jianhao Ding +2
cs.CVcs.AIarXiv:2610.11526v12026
Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework
Qiang Zhou, Chaohui Yu, Zhibin Wang +2
cs.CVcs.AIarXiv:2103.11402v12021
Neutral-Atom-based Quantum Optimization for Resource Allocation in NOMA Networks
Patatchona Keyela, Remon Polus, Soumaya Cherkaoui +1
cs.AIcs.ITarXiv:2609.26556v12026
Shortcut-Stacked Sentence Encoders for Multi-Domain Inference
Yixin Nie, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:1708.02312v22017
On the Maintenance and Co-evolution of Agent Plugins: An Empirical Study of Claude Code Plugin Marketplaces
Ahmed Hereiz, Yingzhe Lyu, Hao Li +2
cs.SEcs.AIarXiv:2608.28497v12026
Graph-of-Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills
Dawei Liu, Zongxia Li, Hongyang Du +4
cs.AIarXiv:2604.05333v32026
Revalidation Beats Stateful Routing for Scientific Surrogates Under Distribution Shift
Harshil Lodhiya
cs.LGcs.AIarXiv:2609.29715v12026
Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility
Wentao Ye, Mingfeng Ou, Tianyi Li +8
cs.LGcs.AIarXiv:2305.10235v42023
ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning
Chi-Pin Huang, Yueh-Hua Wu, Min-Hung Chen +2
cs.CVcs.AIcs.LGarXiv:2507.16815v22025
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
Kun Zhou, Wayne Xin Zhao, Shuqing Bian +3
cs.CLcs.AIcs.IRarXiv:2007.04032v12020
Position: Want Better ML Reviews? Stop Asking Nicely and Start Incentivizing with a Credit System
Shaochen Zhong
cs.AIcs.DLarXiv:2608.14571v12026
VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks
Ziyan Jiang, Rui Meng, Xinyi Yang +3
cs.CVcs.AIcs.CLarXiv:2410.05160v32024
P1: Mastering Physics Olympiads with Reinforcement Learning
Jiacheng Chen, Qianjia Cheng, Fangchen Yu +25
cs.LGcs.AIcs.CLarXiv:2511.13612v12025
ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation
Shengze Li, Jianjian Cao, Peng Ye +3
cs.CVcs.AIarXiv:2401.12665v22024
Reverse Curriculum Generation for Reinforcement Learning
Carlos Florensa, David Held, Markus Wulfmeier +2
cs.AIcs.LGcs.NEarXiv:1707.05300v32017
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques
Vijay Arya, Rachel K. E. Bellamy, Pin-Yu Chen +17
cs.AIcs.CVcs.HCarXiv:1909.03012v22019
Decoupling Knowledge and Privacy: Post-Task Self-Distillation Replay for LLM Continual Learning
Shengtao Wen, Yunying Yang, Xiang Chen +3
cs.LGcs.AIarXiv:2609.29711v12026
WeSCE: A Benchmark for Measuring Security Drift in LLM-Driven Code Editing
Zhiyu Zhang, Tingyue Wen, Senke Sun +2
cs.CRcs.AIcs.SEarXiv:2608.15092v12026
Judging LLM-as-a-Judge: Concerning Rubric Artifacts in LLM-based Automated Text Generation Evaluation
Anshul Bagaria, Sowmya S Sundaram, Gokul S Krishnan +1
cs.CLcs.AIarXiv:2609.02942v12026
Scaling Laws for Generative Mixed-Modal Language Models
Armen Aghajanyan, Lili Yu, Alexis Conneau +7
cs.CLcs.AIcs.LGarXiv:2301.03728v12023
Is Memorization Context-Sensitive? Prefix-Based Extraction Beyond Isolated Prefixes
Ali Satvaty, Narjes Sharafi, Jirui Qi +2
cs.AIarXiv:2610.12085v12026
Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods
Fahad Almalki, Mehedi Masud
cs.LGcs.AIarXiv:2505.10050v12025
WholeBodyVLA: Towards Unified Latent VLA for Whole-Body Loco-Manipulation Control
Haoran Jiang, Jin Chen, Qingwen Bu +8
cs.ROcs.AIcs.CVarXiv:2512.11047v22025
Evaluating AI Recruitment Sourcing Tools by Human Preference
Vladimir Slaykovskiy, Maksim Zvegintsev, Yury Sakhonchyk +1
cs.IRcs.AIarXiv:2504.02463v12025
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration
Rouhollah Rahmatizadeh, Pooya Abolghasemi, Ladislau Bölöni +1
cs.LGcs.AIcs.ROarXiv:1707.02920v22017
VideoMLA: Low-Rank Latent KV Cache for Minute-Scale Autoregressive Video Diffusion
Hidir Yesiltepe, Jiazhen Hu, Tuna Han Salih Meral +4
cs.CVcs.AIarXiv:2605.30351v12026

Artificial Intelligence

CIPHER-MoE: Balancing Efficiency and Routing Fidelity in Trillion-Scale MoE Training

Budget-Aware Tool Use Enables Effective Agent Scaling

LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals

AxQM: A Textbook-Scale Benchmark for Formal Proof Synthesis in a Library of Finite-Dimensional Quantum Mechanics

FoldBack: Self-Correcting Masked Generative Policy for Long-Horizon Garment Folding

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)

Exponential random graph models with soft clique constraints

COCO: A Platform for Comparing Continuous Optimizers in a Black-Box Setting

Multimodal Model Diffing for Feature Discovery and Control

Visibility into AI Agents

Understanding Diffusion Objectives as the ELBO with Simple Data Augmentation

Steered LLM Activations are Non-Surjective

Do LLMs Understand Context? A Knowledge Graph-Based Evaluation Framework

From Mastery Profile to Simulated Response: Stochastic Student Knowledge Graphs (SSKG) for Faithful LLM Student Simulation

SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks

Deep Online Learning via Meta-Learning: Continual Adaptation for Model-Based RL

How to Guide Your Flow: Few-Step Alignment via Flow Map Reward Guidance

Recursive Self-Improvement through Multi-Agent Self-Supervision

Decoupling Parcellation from Classification: Systematic Benchmark of Fast Brain Segmentation Methods for Alzheimer's Disease Detection

VLM4VLA: Revisiting Vision-Language-Models in Vision-Language-Action Models

A Survey on Time-Series Pre-Trained Models

Building Machines that Learn and Think with People

A Lightweight Library for Energy-Based Joint-Embedding Predictive Architectures

TailBooster: A Dual-Layer Generative Framework for Extreme Value Augmentation with Operational Validity Enforcement

Sparse Autoencoders Learn Monosemantic Features in Vision-Language Models

Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance

Trademark Search, Artificial Intelligence and the Role of the Private Sector

Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model

Ask Your Neurons: A Neural-based Approach to Answering Questions about Images

Online Event Recognition from Moving Vessel Trajectories

Instruction-Conditioned Electromagnetic Spectrum Understanding via Budget-Adaptive Signal Tokenization

VisPlay: Self-Evolving Vision-Language Models from Images

Use and Disuse: Intent-Structured Experience Consolidation for Memory and Learning in LLM Agents

MergeDNA: Context-aware Genome Modeling with Dynamic Tokenization through Token Merging

MSGAT: Multi-Head Spiking Graph Attention with Similarity-Space Fusion for Image-Text Retrieval

Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework

Neutral-Atom-based Quantum Optimization for Resource Allocation in NOMA Networks

Shortcut-Stacked Sentence Encoders for Multi-Domain Inference

On the Maintenance and Co-evolution of Agent Plugins: An Empirical Study of Claude Code Plugin Marketplaces

Graph-of-Skills: Dependency-Aware Structural Retrieval for Massive Agent Skills

Revalidation Beats Stateful Routing for Scientific Surrogates Under Distribution Shift

Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility

ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning

Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

Position: Want Better ML Reviews? Stop Asking Nicely and Start Incentivizing with a Credit System

VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks

P1: Mastering Physics Olympiads with Reinforcement Learning

ClipSAM: CLIP and SAM Collaboration for Zero-Shot Anomaly Segmentation

Reverse Curriculum Generation for Reinforcement Learning

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Decoupling Knowledge and Privacy: Post-Task Self-Distillation Replay for LLM Continual Learning

WeSCE: A Benchmark for Measuring Security Drift in LLM-Driven Code Editing

Judging LLM-as-a-Judge: Concerning Rubric Artifacts in LLM-based Automated Text Generation Evaluation

Scaling Laws for Generative Mixed-Modal Language Models

Is Memorization Context-Sensitive? Prefix-Based Extraction Beyond Isolated Prefixes

Financial Fraud Detection Using Explainable AI and Stacking Ensemble Methods

WholeBodyVLA: Towards Unified Latent VLA for Whole-Body Loco-Manipulation Control

Evaluating AI Recruitment Sourcing Tools by Human Preference

Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration

VideoMLA: Low-Rank Latent KV Cache for Minute-Scale Autoregressive Video Diffusion