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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19,201 to 19,260 of 27,566

MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching
Changle Qu, Sunhao Dai, Hengyi Cai +3
cs.CLcs.AIarXiv:2601.10712v12026
Rethinking Video Generation Model for the Embodied World
Yufan Deng, Zilin Pan, Hongyu Zhang +6
cs.CVcs.AIcs.ROarXiv:2601.15282v12026
ReasoningLens: Hierarchical Visualization and Diagnostic Auditing for Large Reasoning Models
Jun Zhang, Jiasheng Zheng, Boxi Cao +5
cs.CLcs.AIarXiv:2606.23404v12026
MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment
Hao-Wen Dong, Wen-Yi Hsiao, Li-Chia Yang +1
eess.AScs.AIcs.LGarXiv:1709.06298v22017
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection
Yu Bai, Fan Chen, Huan Wang +2
cs.LGcs.AIcs.CLarXiv:2306.04637v22023
Context operations to architecture modelling output from large language models and evaluation criteria for their use in systems engineering design
Vinicius Kaster Marini, Petter Krus
eess.SYcs.AIcs.SEarXiv:2609.10132v12026
RENDER: Controlling Reader-Facing Evidence in LLM Memory Evaluation
Yuan Si, Simeng Han, Daming Li +1
cs.AIarXiv:2608.23568v12026
A Multi-Agent LLM System for Automated Tuning of Specialized Neural Network Models
Ivan Moloshnikov, Dmitry Kunitsyn, Alexander Sboev +3
cs.AIcs.CLcs.LGarXiv:2610.13663v12026
ACE: Adapter Consolidation across Experts for Parameter-Efficient Fine-Tuning of MoE LLMs
Ahin Lee, Sehyun Yun, Joonha Park +1
cs.LGcs.AIcs.CLarXiv:2609.06072v12026
VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion
Yiming Li, Zhiding Yu, Christopher Choy +5
cs.CVcs.AIcs.LGarXiv:2302.12251v22023
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer
Ziwei Fan, Zhiwei Liu, Jiawei Zhang +3
cs.IRcs.AIcs.LGarXiv:2108.06625v22021
VINCENT: Validated Interaction Network for Cross-drug Explanation of Therapeutics
Fan-Sheng Chuang, Xuchen Li, Yujing Bian +1
cs.LGcs.AIarXiv:2608.25841v12026
In-Context Multiple Instance Learning
Alexander Möllers, Marvin Sextro, Julius Hense +2
cs.LGcs.AIcs.CVarXiv:2606.06458v12026
RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting
Yuchen He, Yueyang Cang, Zhiyuan Ning +2
cs.LGcs.AIarXiv:2609.03937v12026
Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
Anisha Gunjal, Anthony Wang, Elaine Lau +4
cs.LGcs.AIcs.CLarXiv:2507.17746v22025
Reward-free Alignment for Conflicting Objectives
Peter Chen, Xiaopeng Li, Xi Chen +1
cs.CLcs.AIcs.LGarXiv:2602.02495v32026
Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation
Julia Belikova, Rauf Parchiev, Evgeny Egorov +4
cs.AIcs.CLcs.SEarXiv:2606.23127v12026
Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions
Xinyi Hou, Yanjie Zhao, Shenao Wang +1
cs.CRcs.AIarXiv:2503.23278v32025
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation
Zechun Liu, Kwang-Ting Cheng, Dong Huang +2
cs.CVcs.AIcs.LGarXiv:2111.14826v22021
The Role of Gradient Modification in Heavy-Tailed Nonconvex Stochastic Min-Max Optimization
Tianxi Zhu, Yi Xu, Xiangyang Ji
math.OCcs.AIstat.MLarXiv:2609.06064v12026
Random-Set Graph Neural Networks
Tommy Woodley, Shireen Kudukkil Manchingal, Matteo Tolloso +2
cs.AIcs.LGstat.AParXiv:2605.11987v12026
Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation
Minki Kang, Jin Myung Kwak, Jinheon Baek +1
cs.CLcs.AIcs.LGarXiv:2305.18846v12023
Effectiveness of IoT and Deep Learning for Detection and Severity Assessment of Postelectrotermes militaris in Tea Plantations
D. K. C. Senevirathna, A. A. E. Nanayakkara, H. M. C. K. Kulathunga +7
cs.AIcs.LGcs.SDarXiv:2608.27480v12026
Explaining AI Agents Through Execution Traces
Vittoria Vineis, Fabiano Veglianti, Lorenzo Antonelli +3
cs.AIarXiv:2609.06063v12026
Where Cognition Lives: Dissecting Emergent from Computed Function in a Minimal Complete Cognitive Architecture
Francisco M. Arrabal-Campos, Francisco G. Montoya, Alfredo Alcayde +1
cs.AIcs.CLcs.LGarXiv:2608.22347v12026
MentorPulse: Refreshing Cross-Model Latent Guidance for Long-Form Generation
Ziwu Liu, Guozhong Li, Chen Qiu +2
cs.CLcs.AIarXiv:2608.20927v12026
SkillSpec: Intent-Masked Specification Reasoning for Agent Skill Correctness
Yizhuo Zhang, Bo Kang, Yi Yang +3
cs.SEcs.AIarXiv:2609.06052v12026
FastKernels: Benchmarking GPU Kernel Generation in Production
Gabriele Oliaro, Yichao Fu, May Jiang +5
cs.LGcs.AIcs.CLarXiv:2605.23215v12026
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
Jakob Foerster, Nantas Nardelli, Gregory Farquhar +4
cs.AIcs.LGcs.MAarXiv:1702.08887v32017
Can Jev be Your Q or Policy in Reinforcement Learning?
Yi Ma, Tianpei Yang, Yaodong Yang +2
cs.LGcs.AIarXiv:2610.11692v12026
AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks
Zheng Lin, Guanqiao Qu, Wei Wei +2
cs.LGcs.AIcs.DCarXiv:2403.13101v42024
Parallel Sampling of Diffusion Models
Andy Shih, Suneel Belkhale, Stefano Ermon +2
cs.LGcs.AIarXiv:2305.16317v32023
ConvergeFlow: Language Flow with Provable Convergence to Token Embeddings
Na Li, Yuchen Jiao, Changxiao Cai +1
cs.CLcs.AIcs.LGarXiv:2608.23551v12026
Epistemic Disturbance in the Graph Model for Conflict Resolution: State-Preserving Actions, Four-Valued Assessments, and the Distinction between Capability and Intention
Yukiko Kato
cs.GTcs.AIcs.MAarXiv:2610.11690v12026
In-Context Unlearning: Language Models as Few Shot Unlearners
Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju
cs.LGcs.AIcs.CRarXiv:2310.07579v42023
From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors
Zhengshen Zhang, Hao Li, Yalun Dai +10
cs.ROcs.AIcs.CVarXiv:2510.17439v32025
PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents
Yinghui He, Yapei Chang, Khushi Bhardwaj +4
cs.AIarXiv:2609.40285v12026
RoCo: Dialectic Multi-Robot Collaboration with Large Language Models
Zhao Mandi, Shreeya Jain, Shuran Song
cs.ROcs.AIcs.LGarXiv:2307.04738v12023
Attacking the Trusted Imagination: Oracle-Level Integrity Attacks on Imagine-then-Act World Models
Linghan Chen, Kaiyan Ji, Minyu Guo
cs.LGcs.AIcs.CRarXiv:2606.22966v12026
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting
Lei Bai, Lina Yao, Salil. S Kanhere +2
cs.LGcs.AIstat.MLarXiv:1905.10069v12019
VIP5: Towards Multimodal Foundation Models for Recommendation
Shijie Geng, Juntao Tan, Shuchang Liu +2
cs.IRcs.AIcs.HCarXiv:2305.14302v22023
ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents
Yong Du, Tongbo Chen, Zhengxi Lu +5
cs.CVcs.AIarXiv:2609.40253v22026
Direct 3D-Aware Object Insertion via Decomposed Visual Proxies
Jingbo Gong, Yikai Wang, Yushi Lan +6
cs.CVcs.AIcs.LGarXiv:2606.06601v12026
Memory Compression for High-Fanout Agent Sandboxes
Mengming Li, Ceyu XU, Qijun Zhang +4
cs.AIcs.OSarXiv:2609.11294v12026
ExperienceIndex: Artifact-Grounded Memory
Peter Baile Chen, Geoffrey X. Yu, Xinming Liu +5
cs.CLcs.AIcs.IRarXiv:2610.10091v12026
SEPO: Evidence-Grounded Prompt Optimization via Structural Editing
Xiaoyu Ma, Haoyue Liu, Yiwen Li +4
cs.AIarXiv:2608.28067v12026
Does ChatGPT have Theory of Mind?
Bart Holterman, Kees van Deemter
cs.CLcs.AIarXiv:2305.14020v22023
Constrained Command-Conditioned Reinforcement Learning with Bandit Strategy Selection in Real-Time Strategy Games
Nick Leenders, Roy Lindelauf, Joost van Oijen +1
cs.AIarXiv:2610.11663v12026
META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning
Rafael M. O. Cruz, Robert Sabourin, George D. C. Cavalcanti +1
cs.LGcs.AIstat.MLarXiv:1810.01270v12018
Neural Multichannel Distant Speaker Diarization with Heavy-tailed Source Separation Model
Sicheng Mao, Baihan Li, Mathieu Fontaine +2
cs.SDcs.AIarXiv:2609.12154v12026
Learning from Research: Toward Lifelong Agent Harness Evolution
Jingbo Yang, Kwei-Herng Lai, Xiaowen Wang +3
cs.AIarXiv:2609.40169v12026
Scaling Inference-Efficient Language Models
Song Bian, Minghao Yan, Shivaram Venkataraman
cs.LGcs.AIcs.CLarXiv:2501.18107v22025
DIAL-OPD: Learning More from Fewer Tokens in On-Policy Distillation
Anhao Zhao, Haoran Xin, Junlong Tong +5
cs.CLcs.AIarXiv:2610.11659v12026
MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction
Zhibin Gou, Qingyan Guo, Yujiu Yang
cs.CLcs.AIarXiv:2305.12627v12023
Can GNN be Good Adapter for LLMs?
Xuanwen Huang, Kaiqiao Han, Yang Yang +4
cs.CLcs.AIarXiv:2402.12984v12024
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards
Alexander Trott, Stephan Zheng, Caiming Xiong +1
cs.AIarXiv:1911.01417v12019
Content-based Unrestricted Adversarial Attack
Zhaoyu Chen, Bo Li, Shuang Wu +3
cs.CVcs.AIcs.CRarXiv:2305.10665v22023
Guided Conditional Diffusion for Controllable Traffic Simulation
Ziyuan Zhong, Davis Rempe, Danfei Xu +5
cs.ROcs.AIcs.LGarXiv:2210.17366v12022
Understanding Perturbed Parameter Ensemble Sensitivities Using A Contrastive Learning Approach
Da Fan, David John Gagne II, Gregory S Elsaesser +5
physics.ao-phcs.AIarXiv:2609.30420v12026
Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity
Claudio Novelli, Federico Casolari, Philipp Hacker +2
cs.CYcs.AIarXiv:2401.07348v42024

Artificial Intelligence

MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching

Rethinking Video Generation Model for the Embodied World

ReasoningLens: Hierarchical Visualization and Diagnostic Auditing for Large Reasoning Models

MuseGAN: Multi-track Sequential Generative Adversarial Networks for Symbolic Music Generation and Accompaniment

Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection

Context operations to architecture modelling output from large language models and evaluation criteria for their use in systems engineering design

RENDER: Controlling Reader-Facing Evidence in LLM Memory Evaluation

A Multi-Agent LLM System for Automated Tuning of Specialized Neural Network Models

ACE: Adapter Consolidation across Experts for Parameter-Efficient Fine-Tuning of MoE LLMs

VoxFormer: Sparse Voxel Transformer for Camera-based 3D Semantic Scene Completion

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer

VINCENT: Validated Interaction Network for Cross-drug Explanation of Therapeutics

In-Context Multiple Instance Learning

RATL: Learning from Retrieved Residuals for Robust Multivariate Time-Series Forecasting

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains

Reward-free Alignment for Conflicting Objectives

Managing Procedural Memory in LLM Agents: Control, Adaptation, and Evaluation

Model Context Protocol (MCP): Landscape, Security Threats, and Future Research Directions

Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation

The Role of Gradient Modification in Heavy-Tailed Nonconvex Stochastic Min-Max Optimization

Random-Set Graph Neural Networks

Knowledge Graph-Augmented Language Models for Knowledge-Grounded Dialogue Generation

Effectiveness of IoT and Deep Learning for Detection and Severity Assessment of Postelectrotermes militaris in Tea Plantations

Explaining AI Agents Through Execution Traces

Where Cognition Lives: Dissecting Emergent from Computed Function in a Minimal Complete Cognitive Architecture

MentorPulse: Refreshing Cross-Model Latent Guidance for Long-Form Generation

SkillSpec: Intent-Masked Specification Reasoning for Agent Skill Correctness

FastKernels: Benchmarking GPU Kernel Generation in Production

Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning

Can Jev be Your Q or Policy in Reinforcement Learning?

AdaptSFL: Adaptive Split Federated Learning in Resource-constrained Edge Networks

Parallel Sampling of Diffusion Models

ConvergeFlow: Language Flow with Provable Convergence to Token Embeddings

Epistemic Disturbance in the Graph Model for Conflict Resolution: State-Preserving Actions, Four-Valued Assessments, and the Distinction between Capability and Intention

In-Context Unlearning: Language Models as Few Shot Unlearners

From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors

PivotOPD: Learning to Recover from Pivotal Mistakes in Multi-Turn Agents

RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Attacking the Trusted Imagination: Oracle-Level Integrity Attacks on Imagine-then-Act World Models

STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

VIP5: Towards Multimodal Foundation Models for Recommendation

ComputerSD: Online Self-Distillation from Real-Time Feedback for Computer-Use Agents

Direct 3D-Aware Object Insertion via Decomposed Visual Proxies

Memory Compression for High-Fanout Agent Sandboxes

ExperienceIndex: Artifact-Grounded Memory

SEPO: Evidence-Grounded Prompt Optimization via Structural Editing

Does ChatGPT have Theory of Mind?

Constrained Command-Conditioned Reinforcement Learning with Bandit Strategy Selection in Real-Time Strategy Games

META-DES: A Dynamic Ensemble Selection Framework using Meta-Learning

Neural Multichannel Distant Speaker Diarization with Heavy-tailed Source Separation Model

Learning from Research: Toward Lifelong Agent Harness Evolution

Scaling Inference-Efficient Language Models

DIAL-OPD: Learning More from Fewer Tokens in On-Policy Distillation

MvP: Multi-view Prompting Improves Aspect Sentiment Tuple Prediction

Can GNN be Good Adapter for LLMs?

Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards

Content-based Unrestricted Adversarial Attack

Guided Conditional Diffusion for Controllable Traffic Simulation

Understanding Perturbed Parameter Ensemble Sensitivities Using A Contrastive Learning Approach

Generative AI in EU Law: Liability, Privacy, Intellectual Property, and Cybersecurity